[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-TensorBlock--awesome-mcp-servers":3,"tool-TensorBlock--awesome-mcp-servers":64},[4,17,27,35,48,56],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,3,"2026-04-05T11:01:52",[13,14,15],"开发框架","图像","Agent","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":23,"last_commit_at":24,"category_tags":25,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",140436,2,"2026-04-05T23:32:43",[13,15,26],"语言模型",{"id":28,"name":29,"github_repo":30,"description_zh":31,"stars":32,"difficulty_score":23,"last_commit_at":33,"category_tags":34,"status":16},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107662,"2026-04-03T11:11:01",[13,14,15],{"id":36,"name":37,"github_repo":38,"description_zh":39,"stars":40,"difficulty_score":23,"last_commit_at":41,"category_tags":42,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[14,43,44,45,15,46,26,13,47],"数据工具","视频","插件","其他","音频",{"id":49,"name":50,"github_repo":51,"description_zh":52,"stars":53,"difficulty_score":10,"last_commit_at":54,"category_tags":55,"status":16},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,"2026-04-04T04:44:48",[15,14,13,26,46],{"id":57,"name":58,"github_repo":59,"description_zh":60,"stars":61,"difficulty_score":10,"last_commit_at":62,"category_tags":63,"status":16},2181,"OpenHands","OpenHands\u002FOpenHands","OpenHands 是一个专注于 AI 驱动开发的开源平台，旨在让智能体（Agent）像人类开发者一样理解、编写和调试代码。它解决了传统编程中重复性劳动多、环境配置复杂以及人机协作效率低等痛点，通过自动化流程显著提升开发速度。\n\n无论是希望提升编码效率的软件工程师、探索智能体技术的研究人员，还是需要快速原型验证的技术团队，都能从中受益。OpenHands 提供了灵活多样的使用方式：既可以通过命令行（CLI）或本地图形界面在个人电脑上轻松上手，体验类似 Devin 的流畅交互；也能利用其强大的 Python SDK 自定义智能体逻辑，甚至在云端大规模部署上千个智能体并行工作。\n\n其核心技术亮点在于模块化的软件智能体 SDK，这不仅构成了平台的引擎，还支持高度可组合的开发模式。此外，OpenHands 在 SWE-bench 基准测试中取得了 77.6% 的优异成绩，证明了其解决真实世界软件工程问题的能力。平台还具备完善的企业级功能，支持与 Slack、Jira 等工具集成，并提供细粒度的权限管理，适合从个人开发者到大型企业的各类用户场景。",70626,"2026-04-05T22:51:36",[26,15,13,45],{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":70,"readme_en":71,"readme_zh":72,"quickstart_zh":73,"use_case_zh":74,"hero_image_url":75,"owner_login":76,"owner_name":76,"owner_avatar_url":77,"owner_bio":78,"owner_company":79,"owner_location":79,"owner_email":80,"owner_twitter":81,"owner_website":82,"owner_url":83,"languages":79,"stars":84,"forks":85,"last_commit_at":86,"license":87,"difficulty_score":23,"env_os":88,"env_gpu":89,"env_ram":89,"env_deps":90,"category_tags":93,"github_topics":94,"view_count":23,"oss_zip_url":79,"oss_zip_packed_at":79,"status":16,"created_at":103,"updated_at":104,"faqs":105,"releases":140},3604,"TensorBlock\u002Fawesome-mcp-servers","awesome-mcp-servers","A comprehensive collection of Model Context Protocol (MCP) servers","awesome-mcp-servers 是一个由社区精心维护的开源项目，旨在汇集全球丰富的 Model Context Protocol (MCP) 服务器资源。你可以把它想象成一个专为 AI 打造的“应用商店”或“万能接口目录”，目前收录了超过 7200 个服务器实例，覆盖从数据库连接、浏览器自动化到云平台管理等数十个技术领域。\n\n在 AI 开发中，让大模型安全、标准地连接外部工具和数据源往往是一项挑战。awesome-mcp-servers 通过提供统一的 MCP 标准实现列表，解决了这一痛点。MCP 协议如同 AI 界的\"USB-C 接口”，打破了不同模型与外部世界之间的壁垒，使得开发者无需为每个工具单独编写适配代码，即可轻松扩展 AI 助手的能力边界。\n\n这份清单特别适合 AI 应用开发者、系统架构师以及希望深入探索大模型落地场景的研究人员使用。无论是需要快速查找现成的数据库连接器，还是寻找特定的行业解决方案（如金融、医疗或物联网），用户都能在这里找到经过分类整理的优质资源。此外，项目鼓励社区贡献，任何人都可以提交自己开发的服务器，共同推动生态繁荣。对于想要构建具备实时数据交互","awesome-mcp-servers 是一个由社区精心维护的开源项目，旨在汇集全球丰富的 Model Context Protocol (MCP) 服务器资源。你可以把它想象成一个专为 AI 打造的“应用商店”或“万能接口目录”，目前收录了超过 7200 个服务器实例，覆盖从数据库连接、浏览器自动化到云平台管理等数十个技术领域。\n\n在 AI 开发中，让大模型安全、标准地连接外部工具和数据源往往是一项挑战。awesome-mcp-servers 通过提供统一的 MCP 标准实现列表，解决了这一痛点。MCP 协议如同 AI 界的\"USB-C 接口”，打破了不同模型与外部世界之间的壁垒，使得开发者无需为每个工具单独编写适配代码，即可轻松扩展 AI 助手的能力边界。\n\n这份清单特别适合 AI 应用开发者、系统架构师以及希望深入探索大模型落地场景的研究人员使用。无论是需要快速查找现成的数据库连接器，还是寻找特定的行业解决方案（如金融、医疗或物联网），用户都能在这里找到经过分类整理的优质资源。此外，项目鼓励社区贡献，任何人都可以提交自己开发的服务器，共同推动生态繁荣。对于想要构建具备实时数据交互能力、能真正“动手”解决复杂任务的智能体而言，awesome-mcp-servers 是不可或缺的起步指南和资源宝库。","# Awesome MCP Servers ![Awesome](https:\u002F\u002Fcdn.rawgit.com\u002Fsindresorhus\u002Fawesome\u002Fd7305f38d29fed78fa85652e3a63e154dd8e8829\u002Fmedia\u002Fbadge.svg)\n\n[![Website](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWebsite-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https:\u002F\u002Ftensorblock.co)\n[![Twitter](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Ftensorblock_aoi?style=social)](https:\u002F\u002Ftwitter.com\u002Ftensorblock_aoi)\n[![Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-Join%20Us-5865F2?logo=discord&logoColor=white)](https:\u002F\u002Fdiscord.gg\u002FyefvtqDd2w)\n[![🤗 Hugging Face](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FHuggingFace-TensorBlock-yellow?logo=huggingface&logoColor=white)](https:\u002F\u002Fhuggingface.co\u002Ftensorblock)\n[![Telegram](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FTelegram-Group-blue?logo=telegram)](https:\u002F\u002Ft.me\u002FTensorBlock)\n\n\u003Cdiv style=\"text-align: left; margin: 20px 0;\">\n    \u003Ca href=\"https:\u002F\u002Fdiscord.com\u002Finvite\u002FEj5NmeHFf2\" style=\"display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;\">\n        Join our Discord to learn more about what we're building ↗\n    \u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003Cdiv style=\"text-align: left; margin: 20px 0;\">\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fforge\" style=\"display: inline-block; padding: 10px 20px; background-color: #24292e; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;\">\n         ✨✨✨ Learn more about Forge - an open-source middleware service that simplifies AI model provider management. ✨✨✨\n    \u003C\u002Fa>\n\u003C\u002Fdiv>\nA comprehensive, community-curated collection of [Model Context Protocol (MCP)](https:\u002F\u002Fmodelcontextprotocol.io) servers — covering AI assistants, browser automation, databases, cloud platforms, developer tools, and much more.\n\n> **What is MCP?** The Model Context Protocol is an open standard that lets AI models securely connect to external tools, APIs, databases, and filesystems. Think of it as a USB-C port for AI — a universal interface that any model can use to interact with the world.\n\n## Coverage\n\nThis repo currently includes coverage for **7260 MCP servers as of May 30, 2025**. Due to the limited space, we only show the most recent 30 servers in each category.\n\n## Contributing\n\nWe welcome submissions! To add your MCP server:\n\n1. Fork this repository\n2. Add your server to the relevant category in `README.md`, following the existing format:\n   ```\n   - [Server Name](https:\u002F\u002Fgithub.com\u002Fowner\u002Frepo) - Brief one-sentence description.\n   ```\n3. Open a pull request — we review regularly\n\n**Guidelines:**\n- Server must be publicly accessible (open source or a hosted service with a public endpoint)\n- Search the list before submitting to avoid duplicates\n- Place entries in the most relevant category\n\n## Server Categories\n\n- 🤖 - [AI & LLM Integration](#-ai--llm-integration)\n- 🎨 - [Art, Culture & Media](#-art-culture--media)\n- 🌐 - [Browser Automation & Web Scraping](#-browser-automation--web-scraping)\n- 🏗️ - [Build & Deployment Tools](#️-build--deployment-tools)\n- ☁️ - [Cloud Platforms & Services](#️-cloud-platforms--services)\n- ✨ - [Code Analysis & Quality](#-code-analysis--quality)\n- 💻 - [Code Execution](#-code-execution)\n- 💬 - [Communication & Messaging](#-communication--messaging)\n- 📝 - [Content Management Systems](#-content-management-systems)\n- 📊 - [Data Analysis & Business Intelligence](#-data-analysis--business-intelligence)\n- 🗄️ - [Databases](#️-databases)\n- 🛠️ - [Developer Productivity & Utilities](#️-developer-productivity--utilities)\n- 📁 - [Filesystems](#-filesystems)\n- 💰 - [Finance & Crypto](#-finance--crypto)\n- 🧰 - [Frameworks](#-frameworks)\n- 🎮 - [Gaming](#-gaming)\n- ⚙️ - [Hardware & IoT](#️-hardware--iot)\n- ❤️ - [Healthcare & Life Sciences](#️-healthcare--life-sciences)\n- 🏛️ - [Infrastructure](#️-infrastructure)\n- 🧠 - [Knowledge Management & Memory](#-knowledge-management--memory)\n- 🗺️ - [Location & Maps](#️-location--maps)\n- 📈 - [Marketing, Sales & CRM](#-marketing-sales--crm)\n- 📡 - [Monitoring & Observability](#-monitoring--observability)\n- 🖼️ - [Multimedia Processing](#️-multimedia-processing)\n- 🖥️ - [Operating System & Command Line](#️-operating-system--command-line)\n- ✅ - [Project & Task Management](#-project--task-management)\n- 🔬 - [Science & Research](#-science--research)\n- 🔎 - [Search](#-search)\n- 🔒 - [Security](#-security)\n- 📱 - [Social Media & Content Platforms](#-social-media--content-platforms)\n- ⚽ - [Sports](#-sports)\n- ✈️ - [Travel & Transportation](#️-travel--transportation)\n- 🔧 - [Utilities & Helpers](#-utilities--helpers)\n- 🔄 - [Version Control](#-version-control)\n\n## 🤖 AI & LLM Integration\n\nServers integrating with other AI models, AI platforms, RAG tools, prompt management, or agent frameworks.\n\n- [ToolRouter](https:\u002F\u002Ftoolrouter.com) - Give your AI agent superpowers with access to 150+ tools on demand with just one account. One API key replaces managing dozens of provider accounts. `npx -y toolrouter-mcp`\n- [bh-rat\u002Fcontext-awesome](https:\u002F\u002Fgithub.com\u002Fbh-rat\u002Fcontext-awesome) - MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent.\n- [spranab\u002Fbrainstorm-mcp](https:\u002F\u002Fgithub.com\u002Fspranab\u002Fbrainstorm-mcp) - Multi-round AI brainstorming debates between multiple models (GPT, DeepSeek, Groq, Ollama, etc.). Pit different LLMs against each other to explore ideas from diverse perspectives.\n- [deadpixel\u002Froundtable-dashboard](https:\u002F\u002Fgithub.com\u002Fdeadpixel\u002Froundtable-dashboard): Multi-model AI debate platform with remote MCP server. GPT-4o, Claude, Gemini and 200+ models discuss prompts in structured rounds and synthesize collective insight via Streamable HTTP at `https:\u002F\u002Fmcp.roundtable.now\u002Fmcp`.\n- [comitest22\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fcomitest22\u002Flinear-mcp): Facilitates interaction with the Linear API through a Model Context Protocol server, offering tools for ticket management and prioritization.\n- [stephenlb\u002Fpubnub-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephenlb\u002Fpubnub-mcp-server): Facilitates access to PubNub SDK and Functions documentation within Cursor IDE using a CLI-based MCP server.\n- [Ankit2533\u002Fresearch](https:\u002F\u002Fgithub.com\u002FAnkit2533\u002Fresearch): A multi-agent deep researcher leveraging MCP to perform comprehensive web searches with Linkup and CrewAI orchestration.\n- [CDataSoftware\u002Fcdata-jdbc-mcp-server](https:\u002F\u002Fgithub.com\u002FCDataSoftware\u002Fcdata-jdbc-mcp-server): Facilitates querying live data from over 300 sources via CData JDBC Drivers using natural language through a read-only MCP interface.\n- [kylewoolstenhulme-block\u002FNotion-Goose-MCP](https:\u002F\u002Fgithub.com\u002Fkylewoolstenhulme-block\u002FNotion-Goose-MCP): Facilitates seamless interaction with the Notion API through an MCP server, enabling automated content management and integration.\n- [Ankit2533\u002Fmulti-agentic_deepresearch](https:\u002F\u002Fgithub.com\u002FAnkit2533\u002Fmulti-agentic_deepresearch): A multi-agent deep researcher leveraging MCP to orchestrate AI agents for collaborative deep web searches and knowledge synthesis.\n- [drdeeks\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fdrdeeks\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login, enabling seamless integration with tools like Claude Desktop.\n- [raj-mehra\u002Fjira-mcp](https:\u002F\u002Fgithub.com\u002Fraj-mehra\u002Fjira-mcp): Integrates Jira with MCP to fetch and search ticket details using a flexible framework.\n- [AlexShan2008\u002Fmcp-claude-weather](https:\u002F\u002Fgithub.com\u002FAlexShan2008\u002Fmcp-claude-weather): Provides real-time weather alerts and forecasts from the US National Weather Service, seamlessly integrating with Claude for Desktop.\n- [expensivefav\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fexpensivefav\u002Fmcp): Facilitates interaction with Algolia APIs through experimental MCP servers, enabling search and data manipulation tasks.\n- [vinodismyname\u002Fredshift-utils-mcp](https:\u002F\u002Fgithub.com\u002Fvinodismyname\u002Fredshift-utils-mcp): Facilitates AI-driven interaction with Amazon Redshift, enabling secure data querying and diagnostics via the AWS Data API.\n- [frostming\u002Fopenweather-mcp](https:\u002F\u002Fgithub.com\u002Ffrostming\u002Fopenweather-mcp): Facilitates weather data retrieval from OpenWeather.org via a Model Context Protocol server.\n- [jasiekkk\u002Fjan-stripe](https:\u002F\u002Fgithub.com\u002Fjasiekkk\u002Fjan-stripe): Deploy a remote MCP server on Cloudflare Workers without authentication, enabling seamless integration with Cloudflare AI Playground and local MCP clients.\n- [MartinPSDev\u002Fcurl-mcp](https:\u002F\u002Fgithub.com\u002FMartinPSDev\u002Fcurl-mcp): Transforms natural language instructions into curl commands, supporting English and Spanish, for seamless HTTP requests.\n- [natifridman\u002Fstocks-mcp](https:\u002F\u002Fgithub.com\u002Fnatifridman\u002Fstocks-mcp): Fetches real-time stock information from Google Finance using a Pythonic MCP server framework.\n- [dithom\u002Fshopware-mcp](https:\u002F\u002Fgithub.com\u002Fdithom\u002Fshopware-mcp): Automates bugfixing for Shopware plugins by leveraging LLMs to handle support tickets and plugin versions.\n- [shankarpriyank\u002Fremote-mcp-server-authless](https:\u002F\u002Fgithub.com\u002Fshankarpriyank\u002Fremote-mcp-server-authless): Deploy a remote MCP server without authentication on Cloudflare Workers, enabling seamless integration with Cloudflare AI Playground and local MCP clients.\n- [slot181\u002Fopenapi-integrator-mcp](https:\u002F\u002Fgithub.com\u002Fslot181\u002Fopenapi-integrator-mcp): Facilitates high-quality image generation through OpenAI-compatible APIs, offering a standardized interface for specifying image parameters.\n- [kukapay\u002Fcrypto-rss-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fcrypto-rss-mcp): Aggregates real-time cryptocurrency news from multiple RSS feeds to assist AI agents in making informed market decisions.\n- [AlekseyKapustyanenko\u002FNihFix.Postgres.Mcp](https:\u002F\u002Fgithub.com\u002FAlekseyKapustyanenko\u002FNihFix.Postgres.Mcp): Facilitates real-time AI agent interactions with PostgreSQL databases using SSE and STDIO protocols.\n- [CrewAakash\u002Fmcp-server-for-copilot](https:\u002F\u002Fgithub.com\u002FCrewAakash\u002Fmcp-server-for-copilot): Facilitates seamless integration of Microsoft Copilot Studio agents with MCP-compatible clients, maintaining conversation context and supporting stateful interactions.\n- [xiaok\u002Fetherscan-mcp](https:\u002F\u002Fgithub.com\u002Fxiaok\u002Fetherscan-mcp): Facilitates seamless interaction with Etherscan's API through a dynamic MCP server.\n- [qingshanyuluo\u002Fprometheus-mcp-server](https:\u002F\u002Fgithub.com\u002Fqingshanyuluo\u002Fprometheus-mcp-server): A streamlined Prometheus MCP server designed for metric collection and AI-friendly analysis.\n- [falahgs\u002FMCP-Storybook-Image-Generator](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FMCP-Storybook-Image-Generator): Generates storybook images and matching children's stories using Google's Gemini AI, offering multiple art styles and instant previews.\n- [MCP-Reasoner\u002FMCP-Reasoner](https:\u002F\u002Fgithub.com\u002FMCP-Reasoner\u002FMCP-Reasoner): Integrates Google's OR-Tools with Large Language Models for constraint solving and optimization through the Model Context Protocol.\n- [AzureDevOpsAPI\u002FAzure-DevOps](https:\u002F\u002Fgithub.com\u002FAzureDevOpsAPI\u002FAzure-DevOps): Facilitates AI-driven interactions with Azure DevOps APIs, enabling seamless project management and DevOps workflows through natural language commands.\n- [Excoriate\u002Fmcp-terraform-aws-provider-docs](https:\u002F\u002Fgithub.com\u002FExcoriate\u002Fmcp-terraform-aws-provider-docs): Provides contextual information and resources for Terraform AWS Provider documentation, enabling AI agents to query up-to-date data directly from the source.\n- [tangshuang\u002Fmcp-bone](https:\u002F\u002Fgithub.com\u002Ftangshuang\u002Fmcp-bone): Facilitates connection to MCP Bone for tool registration and parsing LLM completion text into tool calls.\n- [belljustin\u002Fspotify-mcp](https:\u002F\u002Fgithub.com\u002Fbelljustin\u002Fspotify-mcp): Facilitates playlist creation on Spotify through a Model Context Protocol server, integrating seamlessly with Cursor for enhanced user interaction.\n- [Zerg00s\u002Fserver-sharepoint](https:\u002F\u002Fgithub.com\u002FZerg00s\u002Fserver-sharepoint): Facilitates interaction with SharePoint Online through Claude Desktop using the SharePoint REST API.\n\n## 🎨 Art, Culture & Media\n\nServers interacting with APIs for museums, media databases, image\u002Fvideo hosting, or creative content platforms.\n\n- [ourongxing\u002Fnewsnow-mcp-server](https:\u002F\u002Fgithub.com\u002Fourongxing\u002Fnewsnow-mcp-server): Facilitates access to over 40 news sources through a dedicated MCP server for NewsNow.\n- [trevhud\u002Fvibe-mcp](https:\u002F\u002Fgithub.com\u002Ftrevhud\u002Fvibe-mcp): Generates music based on coding context with support for multiple audio backends and seamless playback.\n- [eluc1a\u002Fmcp-news](https:\u002F\u002Fgithub.com\u002Feluc1a\u002Fmcp-news): Facilitates access to categorized news articles from a database, enabling clients to retrieve and summarize the latest content.\n- [Toos00\u002Ffreepik-mcp-server](https:\u002F\u002Fgithub.com\u002FToos00\u002Ffreepik-mcp-server): Facilitates interaction with Freepik.com's API for image and vector searches using the Model Context Protocol.\n- [chatmcp\u002Fheybeauty-mcp](https:\u002F\u002Fgithub.com\u002Fchatmcp\u002Fheybeauty-mcp): Facilitates virtual try-on experiences by leveraging HeyBeauty API to manage and execute try-on tasks with clothing resources.\n- [kokushin\u002Fexia-mcp](https:\u002F\u002Fgithub.com\u002Fkokushin\u002Fexia-mcp): Generates and displays scenario files for the exia visual novel engine in the Kotoha Sisters explanation format.\n- [molmolkky\u002Fprompt-character-mcp-server](https:\u002F\u002Fgithub.com\u002Fmolmolkky\u002Fprompt-character-mcp-server): Facilitates the retrieval of iconic quotes from the character Ou Ki from the manga 'Kingdom' via an MCP server.\n- [enggpt-it\u002FMCP-Server-Cybersecurity-News](https:\u002F\u002Fgithub.com\u002Fenggpt-it\u002FMCP-Server-Cybersecurity-News): Access the latest cybersecurity news from various websites with seamless Claude Desktop integration.\n- [NFTGo\u002Fmcp-nftgo-api](https:\u002F\u002Fgithub.com\u002FNFTGo\u002Fmcp-nftgo-api): Facilitates seamless interaction with the NFTGo Developer API, offering comprehensive NFT data and analytics for Ethereum-based assets.\n- [Lala-0x3f\u002Fmj-mcp](https:\u002F\u002Fgithub.com\u002FLala-0x3f\u002Fmj-mcp): Facilitates image generation using Midjourney through an MCP server interface.\n- [JayArrowz\u002Fmcp-osrs](https:\u002F\u002Fgithub.com\u002FJayArrowz\u002Fmcp-osrs): Facilitates interaction with the Old School RuneScape Wiki API and game data files through a Model Context Protocol server.\n- [RohitMidha23\u002Fyoutube-mcp](https:\u002F\u002Fgithub.com\u002FRohitMidha23\u002Fyoutube-mcp): Facilitates LLMs in extracting and analyzing subtitles from YouTube videos for content processing.\n- [Otto-J\u002Fpodcast-xyzrank-mcp](https:\u002F\u002Fgithub.com\u002FOtto-J\u002Fpodcast-xyzrank-mcp): Facilitates podcast recommendations using MCP to access curated podcast rankings.\n- [miyamo2\u002Fhotpepper-gourmet-mcp-server](https:\u002F\u002Fgithub.com\u002Fmiyamo2\u002Fhotpepper-gourmet-mcp-server): Facilitates gourmet search and area-based queries using the Hot Pepper Gourmet API.\n- [Antipas\u002F4oimage-mcp](https:\u002F\u002Fgithub.com\u002FAntipas\u002F4oimage-mcp): Integrates with 4o-image API to enable AI-driven image generation and editing through text prompts.\n- [sunqirui1987\u002Fae-mcp](https:\u002F\u002Fgithub.com\u002Fsunqirui1987\u002Fae-mcp): Enables AI assistants to control Adobe After Effects through a standardized MCP interface, offering extensive functionality for compositions, layers, and effects.\n- [lieyanqzu\u002Fygocdb-mcp](https:\u002F\u002Fgithub.com\u002Flieyanqzu\u002Fygocdb-mcp): Facilitates interaction with the YGO Chinese card database API, offering tools for card information retrieval and image access.\n- [dbeltra\u002Fscryfall-mcp](https:\u002F\u002Fgithub.com\u002Fdbeltra\u002Fscryfall-mcp): Interfaces with the Scryfall API to fetch and display detailed Magic: The Gathering card data.\n- [Kota8102\u002Faws-weekly-news-mcp](https:\u002F\u002Fgithub.com\u002FKota8102\u002Faws-weekly-news-mcp): Facilitates access to Japanese 'Weekly AWS' blog articles through a dedicated MCP server.\n- [x0x0b\u002Fmcp-nicovideo-snapshot-search](https:\u002F\u002Fgithub.com\u002Fx0x0b\u002Fmcp-nicovideo-snapshot-search): Facilitates video searches on Nicovideo using the Snapshot Search API.\n- [nvsofts\u002Fjlcpcb-parts-mcp](https:\u002F\u002Fgithub.com\u002Fnvsofts\u002Fjlcpcb-parts-mcp): Facilitates component search for JLCPCB PCBA using a dedicated MCP server.\n- [Ukenn2112\u002FBangumiMCP](https:\u002F\u002Fgithub.com\u002FUkenn2112\u002FBangumiMCP): Facilitates interaction with BangumiTV's API for accessing anime, manga, music, and game data.\n- [falahgs\u002Fgemini-vision-art-studio](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fgemini-vision-art-studio): Gemini Vision Art Studio harnesses Google's Gemini AI to generate 3D cartoons and transform images with artistic flair.\n- [0010aor\u002Fmcp-mtg-assistant](https:\u002F\u002Fgithub.com\u002F0010aor\u002Fmcp-mtg-assistant): Fetches Magic: The Gathering card details using the Scryfall API, aiding in rules queries and card information retrieval.\n- [cmathgit\u002Fbiblegateway-votd-mcp](https:\u002F\u002Fgithub.com\u002Fcmathgit\u002Fbiblegateway-votd-mcp): Access the BibleGateway Verse of the Day in multiple languages and versions without requiring an API key.\n- [Tok\u002FSuperColliderMCP](https:\u002F\u002Fgithub.com\u002FTok\u002FSuperColliderMCP): Facilitates AI-driven audio synthesis and processing in SuperCollider via OSC messages, enabling dynamic sound generation and integration with AI development environments.\n- [raj-mehra\u002Ffigma-mcp](https:\u002F\u002Fgithub.com\u002Fraj-mehra\u002Ffigma-mcp): Facilitates interaction with Figma design files by extracting design tokens and components for integration with Cursor IDE.\n- [opensourcedev90s\u002Fuk-science-museum-group-mcp](https:\u002F\u002Fgithub.com\u002Fopensourcedev90s\u002Fuk-science-museum-group-mcp): Facilitates data retrieval from the UK Science Museum Group API for LLMs via a Python-based MCP server.\n- [AnshulDalua\u002Fillustrator-mcp](https:\u002F\u002Fgithub.com\u002FAnshulDalua\u002Fillustrator-mcp): Facilitates script execution in Adobe Illustrator via MCP, leveraging JavaScript and AppleScript on MacOS.\n- [hugeicons\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fhugeicons\u002Fmcp-server): Facilitates seamless integration of Hugeicons across various platforms by providing tools, resources, and platform-specific guides for AI assistants.\n\n## 🌐 Browser Automation & Web Scraping\n\nServers using tools for browser control, automation, and extracting content from websites.\n\n- [Custodia-Admin\u002Fpagebolt-mcp](https:\u002F\u002Fgithub.com\u002FCustodia-Admin\u002Fpagebolt-mcp): Provides hosted web capture and browser automation via REST API and MCP. Supports screenshot, PDF, OG image, multi-step sequences, AI-narrated video recording, and page inspection (CSS selectors + element maps for AI agents). Works natively in Claude Desktop, Cursor, and Windsurf.\n- [giannisalinetti\u002Fpython-mcp-server](https:\u002F\u002Fgithub.com\u002Fgiannisalinetti\u002Fpython-mcp-server): Facilitates Python code execution for web scraping tasks using an LLM, leveraging Podman for container management.\n- [opentabs-dev\u002Fopentabs](https:\u002F\u002Fgithub.com\u002Fopentabs-dev\u002Fopentabs): Plugin-based MCP server that gives AI agents access to web applications through the user's authenticated browser session. Chrome extension with 100+ plugins for Slack, Discord, GitHub, Reddit, and more.\n- [mhazarabad\u002Fbrowser-use-mcp](https:\u002F\u002Fgithub.com\u002Fmhazarabad\u002Fbrowser-use-mcp): Automates browser tasks using the Browser Use API, offering task management and monitoring capabilities.\n- [1999AZZAR\u002Fmcp-server-google-search](https:\u002F\u002Fgithub.com\u002F1999AZZAR\u002Fmcp-server-google-search): Facilitates Google Programmable Search Engine queries through a structured MCP server interface, enhancing integration with Claude Desktop.\n- [luminati-io\u002Fweb-scraping-with-mcp](https:\u002F\u002Fgithub.com\u002Fluminati-io\u002Fweb-scraping-with-mcp): Connects Anthropic LLMs to external web scraping tools using Bright Data integration for real-world data extraction.\n- [magicp-mhl\u002Fnewsnow](https:\u002F\u002Fgithub.com\u002Fmagicp-mhl\u002Fnewsnow): Facilitates elegant real-time news reading with adaptive scraping and MCP server support for seamless integration.\n- [regenrek\u002Fdeepwiki-mcp](https:\u002F\u002Fgithub.com\u002Fregenrek\u002Fdeepwiki-mcp): Fetches and converts Deepwiki content into Markdown for LLM consumption, ensuring domain safety and efficient crawling.\n- [yan5236\u002Fbing-cn-mcp-server](https:\u002F\u002Fgithub.com\u002Fyan5236\u002Fbing-cn-mcp-server): A Chinese Bing search tool leveraging MCP for seamless integration with AI tools like Claude, enabling direct Bing searches and webpage content retrieval without an API key.\n- [w1561778301\u002Fmcp-playwright-test](https:\u002F\u002Fgithub.com\u002Fw1561778301\u002Fmcp-playwright-test): Automates Playwright tests by generating and executing UI and API test cases with detailed reporting.\n- [ai-dashboad\u002Fflutter-skill](https:\u002F\u002Fgithub.com\u002Fai-dashboad\u002Fflutter-skill): AI-powered E2E testing bridge for any app. Supports Flutter, iOS, Android, Web, Electron, Tauri, KMP, React Native, .NET MAUI.\n- [xinlei413\u002FDOC-Server-MCP](https:\u002F\u002Fgithub.com\u002Fxinlei413\u002FDOC-Server-MCP): Fetches and searches third-party package documentation using versatile scraping and intelligent processing with hybrid search capabilities.\n- [kxkaloo\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fkxkaloo\u002Fmcp): Enables AI models to extract structured data from websites using the Scrapezy MCP server.\n- [eadm\u002Fgrain-mcp-server](https:\u002F\u002Fgithub.com\u002Feadm\u002Fgrain-mcp-server): Facilitates integration with Grain for meeting recording and transcription through browser automation, bypassing enterprise API restrictions.\n- [jobsonlook\u002Fxhs-mcp](https:\u002F\u002Fgithub.com\u002Fjobsonlook\u002Fxhs-mcp): Facilitates interaction with Xiaohongshu by reverse-engineering JavaScript to access and manage notes and comments without Playwright.\n- [mohdsuhail007\u002FVerbilioMCP](https:\u002F\u002Fgithub.com\u002Fmohdsuhail007\u002FVerbilioMCP): Facilitates seamless integration with GitHub using Verbilio MCP server for streamlined workflow automation.\n- [myzxlin\u002Fredbook-mcp](https:\u002F\u002Fgithub.com\u002Fmyzxlin\u002Fredbook-mcp): Facilitates automated publishing of text and video notes on Xiaohongshu using Playwright for browser automation.\n- [larryhudson\u002Fmcp-server-example-image-block](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Fmcp-server-example-image-block): Provides a random image retrieval service using the Lorem Picsum API, demonstrating MCP server capabilities with image blocks.\n- [Elvis720\u002Fmcp-agent](https:\u002F\u002Fgithub.com\u002FElvis720\u002Fmcp-agent): Facilitates browser automation for LLMs using Playwright's accessibility tree, enabling structured web interactions without visual models.\n- [xinlei413\u002FMCP-DOC-Server-OpenRouter](https:\u002F\u002Fgithub.com\u002Fxinlei413\u002FMCP-DOC-Server-OpenRouter): Facilitates efficient scraping, processing, and searching of third-party package documentation with advanced hybrid search capabilities.\n- [thomasvan\u002Fmcp-brave-search](https:\u002F\u002Fgithub.com\u002Fthomasvan\u002Fmcp-brave-search): Facilitates AI assistant integration with Brave Search through a Model Context Protocol server.\n- [oddlyspaced\u002Fultimate-android-mcp](https:\u002F\u002Fgithub.com\u002Foddlyspaced\u002Fultimate-android-mcp): Empower LLMs to autonomously manage and interact with Android devices through a comprehensive MCP server.\n- [kengerlwl\u002FphoneMcp](https:\u002F\u002Fgithub.com\u002Fkengerlwl\u002FphoneMcp): Enables AI assistants to control Android phones via ADB. Supports zero-config Skill mode (CatPaw\u002FClaude Code) and standard MCP server mode (Claude Desktop\u002FCursor). Features screen capture, tap\u002Fswipe gestures, text input, app management, file transfer, and shell commands.\n- [ronantakizawa\u002Fa11ymcp](https:\u002F\u002Fgithub.com\u002Fronantakizawa\u002Fa11ymcp): Empowers LLMs to conduct comprehensive web accessibility testing using Deque Axe-core API and Puppeteer.\n- [hamibot\u002Fhamibot-mcp-server](https:\u002F\u002Fgithub.com\u002Fhamibot\u002Fhamibot-mcp-server): Facilitates interaction with the Hamibot API, offering tools for device and script management, including custom JavaScript execution on specified devices.\n- [YantaoMou\u002Fmcp_droid](https:\u002F\u002Fgithub.com\u002FYantaoMou\u002Fmcp_droid): Facilitates direct control and operation of Android devices by large language models through a standardized interface.\n- [LuckyXYJ\u002Fmcp_ios_project](https:\u002F\u002Fgithub.com\u002FLuckyXYJ\u002Fmcp_ios_project): An MCP server configured for iOS projects, utilizing Python scripts for server execution.\n- [ying-dao\u002Fyingdao_mcp_server](https:\u002F\u002Fgithub.com\u002Fying-dao\u002Fyingdao_mcp_server): Empowers YingDao AI Power and other MCP Hosts to execute RPA tasks, supporting both SSE and Stdio server modes.\n- [catinair\u002Faipower-rpa-mcp-server](https:\u002F\u002Fgithub.com\u002Fcatinair\u002Faipower-rpa-mcp-server): Facilitates seamless interaction between YindDao AI Power and RPA tools, enabling AI-driven automation workflows.\n- [bneil\u002Fmcp-go-colly](https:\u002F\u002Fgithub.com\u002Fbneil\u002Fmcp-go-colly): A sophisticated web crawling framework integrating MCP with Colly for flexible and extensible web content extraction in LLM applications.\n- [ertugrul59\u002Ftradingview-chart-mcp](https:\u002F\u002Fgithub.com\u002Fertugrul59\u002Ftradingview-chart-mcp): Fetches TradingView chart images using ticker and interval inputs for seamless integration with MCP clients.\n- [sungithubid\u002Fmcp-url2markdown](https:\u002F\u002Fgithub.com\u002Fsungithubid\u002Fmcp-url2markdown): Transforms web page content from a given URL into clean, formatted markdown using MCP server capabilities.\n- [NexusX-MCP\u002Fdata-mcp-server](https:\u002F\u002Fgithub.com\u002FNexusX-MCP\u002Fdata-mcp-server): Facilitates web scraping, data extraction, and browser automation with integration for agents like OpenAI's CUA and Anthropic's Claude.\n- [korwabs\u002Fplaywright-trace-mcp](https:\u002F\u002Fgithub.com\u002Fkorwabs\u002Fplaywright-trace-mcp): Enhances browser automation with Playwright by adding trace viewer and video recording capabilities, enabling LLMs to interact with web pages through structured data.\n- [bzsasson\u002Fscreaming-frog-mcp](https:\u002F\u002Fgithub.com\u002Fbzsasson\u002Fscreaming-frog-mcp): Screaming Frog SEO Spider integration for crawling websites, exporting SEO data, and managing crawl storage through AI assistants.\n- [achiya-automation\u002Fsafari-mcp](https:\u002F\u002Fgithub.com\u002Fachiya-automation\u002Fsafari-mcp): Native Safari browser automation for AI agents via AppleScript — 80 tools, zero overhead, keeps logins, runs silently in background. macOS only.\n- [yifanyifan897645\u002Fwebcheck-mcp](https:\u002F\u002Fgithub.com\u002Fyifanyifan897645\u002Fwebcheck-mcp) - Website health checker MCP server: SEO audit, accessibility scan, broken link detection, and performance analysis.\n- [yifanyifan897645\u002Fdeadlink-checker-mcp](https:\u002F\u002Fgithub.com\u002Fyifanyifan897645\u002Fdeadlink-checker-mcp) - Dead link checker MCP server for websites: detects broken links, redirects, and timeouts with detailed reporting.\n\n## 🏗️ Build & Deployment Tools\n\nServers interacting with build systems, containerization, CI\u002FCD, or deployment platforms.\n\n- [zenoengine\u002Fmsbuild-mcp-server](https:\u002F\u002Fgithub.com\u002Fzenoengine\u002Fmsbuild-mcp-server): Automates MSBuild project builds with dynamic discovery and customizable configurations, integrating seamlessly with various MCP clients.\n- [radostkali\u002Fgitlab-mcp-server](https:\u002F\u002Fgithub.com\u002Fradostkali\u002Fgitlab-mcp-server): Facilitates GitLab integration using FastMCP for streamlined code review and repository management.\n- [rianvdm\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Frianvdm\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [gabelul\u002Fperplexity-mcp](https:\u002F\u002Fgithub.com\u002Fgabelul\u002Fperplexity-mcp): An intelligent research assistant leveraging Perplexity's AI models for automatic query complexity detection and optimal model routing.\n- [yoda-digital\u002Fhorologic-mcp](https:\u002F\u002Fgithub.com\u002Fyoda-digital\u002Fhorologic-mcp): Horologic MCP is a TypeScript server for time and timezone operations, seamlessly integrating with MCP-compatible clients like Claude Desktop.\n- [Miura55\u002Ffastapi-mcp-workshop](https:\u002F\u002Fgithub.com\u002FMiura55\u002Ffastapi-mcp-workshop): A workshop sample code for implementing MCP using FastAPI, facilitating integration with mcp-proxy.\n- [hipposys-ltd\u002Fairflow-mcp](https:\u002F\u002Fgithub.com\u002Fhipposys-ltd\u002Fairflow-mcp): Enhance your Apache Airflow management with natural language queries and troubleshooting using a custom MCP server.\n- [aYenx\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FaYenx\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login, enabling seamless integration with Claude Desktop and MCP Inspector.\n- [kaeosdesign\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fkaeosdesign\u002Fremote-mcp-server): Deploy and manage a remote MCP server on Cloudflare Workers with OAuth login and integration with Claude Desktop.\n- [vistaarjuneja\u002Fharness-mcp](https:\u002F\u002Fgithub.com\u002Fvistaarjuneja\u002Fharness-mcp): Facilitates the management of connectors within the Harness platform using a Model Context Protocol server.\n- [ankit1057\u002Fnexuscontroller](https:\u002F\u002Fgithub.com\u002Fankit1057\u002Fnexuscontroller): NexusController offers advanced Android automation with MCP support for seamless AI integration, enabling robust device control and UI testing.\n- [yodablocks\u002Fmcp-installer.0](https:\u002F\u002Fgithub.com\u002Fyodablocks\u002Fmcp-installer.0): Facilitates the installation of MCP servers from npm or PyPi using Claude, streamlining server setup processes.\n- [akr4\u002Fclaude-code-mcp-docker](https:\u002F\u002Fgithub.com\u002Fakr4\u002Fclaude-code-mcp-docker): A Docker container for running Claude Code MCP server with enhanced security features, including a network firewall to prevent unauthorized outbound connections.\n- [sakomws\u002Fmcp-cf-deploy](https:\u002F\u002Fgithub.com\u002Fsakomws\u002Fmcp-cf-deploy): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [hiroooo000\u002Fmydockers](https:\u002F\u002Fgithub.com\u002Fhiroooo000\u002Fmydockers): Facilitates browser automation using Playwright within a Dockerized MCP server environment.\n- [dandacompany\u002Fwebhook-trigger](https:\u002F\u002Fgithub.com\u002Fdandacompany\u002Fwebhook-trigger): Facilitates dynamic webhook transmission using FastMCP framework with support for various HTTP methods and custom headers.\n- [base\u002Fbase-builder-mcp](https:\u002F\u002Fgithub.com\u002Fbase\u002Fbase-builder-mcp): Facilitates integration with Base Docs for Model Context Protocol, enabling seamless interaction with Base Builders.\n- [snowsky\u002Fmcp-helmfile](https:\u002F\u002Fgithub.com\u002Fsnowsky\u002Fmcp-helmfile): Facilitates Helmfile command execution and management through a standardized MCP interface, enhancing AI-assisted deployments and configurations.\n- [buildkite\u002Fbuildkite-mcp-server](https:\u002F\u002Fgithub.com\u002Fbuildkite\u002Fbuildkite-mcp-server): Facilitates access to Buildkite pipeline, build, and job data for integration with tools like Claude Desktop and GitHub Copilot.\n- [bsmith925\u002Fmcp-examples](https:\u002F\u002Fgithub.com\u002Fbsmith925\u002Fmcp-examples): Explore deployment configurations and custom implementations for team-wide MCP servers, focusing on Git repository management and Kubernetes deployment.\n- [misanthropic-ai\u002Flean-docker-mcp](https:\u002F\u002Fgithub.com\u002Fmisanthropic-ai\u002Flean-docker-mcp): Facilitates the execution of Lean4 code in isolated Docker containers for LLM-powered agents, offering both transient and persistent environments.\n- [kappaexpress\u002Fdocker-mcp](https:\u002F\u002Fgithub.com\u002Fkappaexpress\u002Fdocker-mcp): Facilitates MCP server integration with Claude Desktop using a Docker image built with Playwright.\n- [aaomidi\u002Fmcp-bazel](https:\u002F\u002Fgithub.com\u002Faaomidi\u002Fmcp-bazel): Facilitates Bazel project interactions by providing build, test, and dependency analysis tools.\n- [ThomasRohde\u002Fmcp_server_manager](https:\u002F\u002Fgithub.com\u002FThomasRohde\u002Fmcp_server_manager): A backend Python application offering a Model Context Protocol interface and FastAPI web interface for managing MCP servers integrated with Claude Desktop.\n- [addozhang\u002Fspring-rest-to-mcp](https:\u002F\u002Fgithub.com\u002Faddozhang\u002Fspring-rest-to-mcp): Effortlessly transform Spring Web REST APIs into MCP server tools using OpenRewrite recipes for seamless AI integration.\n- [gunpal5\u002FQuickMCP](https:\u002F\u002Fgithub.com\u002Fgunpal5\u002FQuickMCP): QuickMCP enables rapid creation and deployment of MCP servers using OpenAPI, Swagger, or Google Discovery specifications with .NET.\n- [Drew-Goddyn\u002Fbuildkite-mcp](https:\u002F\u002Fgithub.com\u002FDrew-Goddyn\u002Fbuildkite-mcp): Facilitates seamless integration with Buildkite by providing a microservice for retrieving and managing build information via MCP.\n- [thepragmatik\u002Fmcp-server-jvm-build-tools](https:\u002F\u002Fgithub.com\u002Fthepragmatik\u002Fmcp-server-jvm-build-tools): Facilitates natural language interaction with Apache Maven through an MCP server for streamlined project builds.\n- [f-inc\u002Fcontainerinc-mcp](https:\u002F\u002Fgithub.com\u002Ff-inc\u002Fcontainerinc-mcp): Automates deployments to Container Inc. with ephemeral and free deployment capabilities.\n- [cpecf\u002Fdocker-mcp](https:\u002F\u002Fgithub.com\u002Fcpecf\u002Fdocker-mcp): Facilitates Docker container and compose stack management through Claude AI integration.\n\n## ☁️ Cloud Platforms & Services\n\nServers integrating with major cloud providers or specific cloud services.\n\n- [doma2k\u002Fmonad-contract-deployment-mcp](https:\u002F\u002Fgithub.com\u002Fdoma2k\u002Fmonad-contract-deployment-mcp): Facilitates the compilation and deployment of smart contracts within the Monad ecosystem, enabling interactions directly from chat prompts or compatible MCP clients.\n- [adrianmonad\u002FMonDeployer](https:\u002F\u002Fgithub.com\u002Fadrianmonad\u002FMonDeployer): Facilitates the deployment of Solidity contracts to the Monad testnet using AI and MCP integration.\n- [groovyBugify\u002Faws-security-mcp](https:\u002F\u002Fgithub.com\u002FgroovyBugify\u002Faws-security-mcp): Connects AI assistants to AWS security services for autonomous security analysis and threat modeling.\n- [joeseesun\u002Fqiniu-mcp-joe](https:\u002F\u002Fgithub.com\u002Fjoeseesun\u002Fqiniu-mcp-joe): Facilitates file uploads to Qiniu Cloud Storage, providing a seamless integration for managing media assets.\n- [Tencent\u002Fcos-mcp](https:\u002F\u002Fgithub.com\u002FTencent\u002Fcos-mcp): Facilitates seamless integration of large models with Tencent Cloud Storage (COS) and Data Processing (CI) capabilities without coding.\n- [Azure\u002Fblue-bridge](https:\u002F\u002Fgithub.com\u002FAzure\u002Fblue-bridge): Facilitates querying and managing Azure resources using MCP server with zero-secret authentication, supporting Azure Managed Grafana, Azure Data Explorer, and more.\n- [oliverbenns\u002Fdigitalocean-mcp](https:\u002F\u002Fgithub.com\u002Foliverbenns\u002Fdigitalocean-mcp): Manage and monitor DigitalOcean app platform deployments and alerts using the Model Context Protocol.\n- [Ropz3\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FRopz3\u002Fremote-mcp-server): Deploy and manage a remote MCP server on Cloudflare Workers with OAuth login and integration with Claude Desktop.\n- [curious-pm\u002Fmcp-google_cloud_billing](https:\u002F\u002Fgithub.com\u002Fcurious-pm\u002Fmcp-google_cloud_billing): Facilitates integration with Google Cloud Billing API, enabling AI assistants to analyze and manage cloud costs efficiently.\n- [curious-pm\u002Fmcp-digital_ocean_billing](https:\u002F\u002Fgithub.com\u002Fcurious-pm\u002Fmcp-digital_ocean_billing): Facilitates seamless integration with Digital Ocean's Billing API, offering tools for viewing account balances, billing history, and invoices.\n- [bizflycloud\u002Fbizflycloud-mcp-server](https:\u002F\u002Fgithub.com\u002Fbizflycloud\u002Fbizflycloud-mcp-server): Connects to Bizfly Cloud for comprehensive cloud resource management, utilizing the mark3labs\u002Fmcp-go SDK.\n- [JCallico\u002Fpy-az-mcp](https:\u002F\u002Fgithub.com\u002FJCallico\u002Fpy-az-mcp): Facilitates seamless integration with Azure services via Azure CLI commands, enabling a wide range of cloud operations.\n- [leeb003\u002Fsupabase-mcp](https:\u002F\u002Fgithub.com\u002Fleeb003\u002Fsupabase-mcp): Facilitates CRUD operations on Supabase databases through a FastAPI-based MCP server, ensuring seamless integration with Cursor.\n- [noahseger\u002Fcf-example-remote-mcp-server](https:\u002F\u002Fgithub.com\u002Fnoahseger\u002Fcf-example-remote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [nhc\u002Fcloudflare-remote-mcp-server](https:\u002F\u002Fgithub.com\u002Fnhc\u002Fcloudflare-remote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [sanxxit\u002Fmy-aws-cost-explorer](https:\u002F\u002Fgithub.com\u002Fsanxxit\u002Fmy-aws-cost-explorer): Facilitates AWS spend analysis and visualization through an MCP server, integrating with Anthropic's Claude model for natural language queries.\n- [sanxxit\u002FAWS-cost-explorer-with-MCP-server](https:\u002F\u002Fgithub.com\u002Fsanxxit\u002FAWS-cost-explorer-with-MCP-server): Facilitates AWS spend analysis and visualization through an interactive interface using Anthropic's Claude model.\n- [Collaborne\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002FCollaborne\u002Fmcp-server): Facilitates interaction between Large Language Models and NEXT structured data, enabling operations like retrieving highlights and clusters.\n- [trilliwon\u002Flion-mcp-server](https:\u002F\u002Fgithub.com\u002Ftrilliwon\u002Flion-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [jhgaylor\u002Fme_mcp_server](https:\u002F\u002Fgithub.com\u002Fjhgaylor\u002Fme_mcp_server): Facilitates personalized job search and profile management through a Model Context Protocol server.\n- [bocchiczennie\u002Faws-monthly-cost-report-mcp-server](https:\u002F\u002Fgithub.com\u002Fbocchiczennie\u002Faws-monthly-cost-report-mcp-server): Facilitates the generation of monthly AWS cost reports through an MCP server, integrating seamlessly with Claude Desktop.\n- [roboulos\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Froboulos\u002Fremote-mcp-server): A remote MCP server leveraging Cloudflare Workers and Xano for efficient tool management, session tracking, and OAuth integration.\n- [anandkumarpatel\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fanandkumarpatel\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login, enabling seamless integration with tools like Claude Desktop.\n- [Arodoid\u002FFastlyMCP](https:\u002F\u002Fgithub.com\u002FArodoid\u002FFastlyMCP): Fastly MCP integrates Fastly's API with AI assistants, enabling seamless management of CDN services, caching, security, and performance monitoring through the Model Context Protocol.\n- [tumf\u002Ffastmcp-gsuite](https:\u002F\u002Fgithub.com\u002Ftumf\u002Ffastmcp-gsuite): Facilitates seamless interaction with Gmail and Google Calendar through a fastmcp-based server, supporting multiple accounts and advanced email and calendar management.\n- [atalhens\u002Fntnx-mcp](https:\u002F\u002Fgithub.com\u002Fatalhens\u002Fntnx-mcp): Facilitates Nutanix Virtual Machine Management through a command-line chatbot interface, integrating with Nutanix AI LLM endpoints and supporting dynamic tool integration.\n- [aradtamako\u002FDnfApiServer](https:\u002F\u002Fgithub.com\u002Faradtamako\u002FDnfApiServer): Facilitates interaction with DNF APIs through an MCP server setup, enabling seamless integration with tools like Copilot and Claude.\n- [bittush8789\u002FMCP](https:\u002F\u002Fgithub.com\u002Fbittush8789\u002FMCP): Fetches weather data from the National Weather Service API, providing tools for retrieving active alerts and short-term forecasts.\n- [antymijaljevic\u002Fk8s-doc-mcp](https:\u002F\u002Fgithub.com\u002Fantymijaljevic\u002Fk8s-doc-mcp): A Python-based MCP server for managing and summarizing sticky notes using the Model Context Protocol SDK.\n- [stephenlacy\u002Fmcp-proxy](https:\u002F\u002Fgithub.com\u002Fstephenlacy\u002Fmcp-proxy): A fast Rust-based proxy facilitating bidirectional communication between stdio and SSE for MCP servers.\n\n## ✨ Code Analysis & Quality\n\nServers focused on static analysis, linting, code metrics, security scanning, vulnerability checks, or code quality assessment.\n\n- [DeusData\u002Fcodebase-memory-mcp](https:\u002F\u002Fgithub.com\u002FDeusData\u002Fcodebase-memory-mcp): Fastest code intelligence MCP server — indexes the Linux kernel (28M LOC) in 3 minutes, answers structural queries in \u003C1ms. Builds a persistent knowledge graph with call chains, HTTP routes, and cross-service links across 66 languages. 120x fewer tokens. Single static binary, plug-and-play across 10 coding agents.\n- [dhylan01\u002FMCP_OA](https:\u002F\u002Fgithub.com\u002Fdhylan01\u002FMCP_OA): Facilitates AI assistants in analyzing code by identifying function usage within Python and TypeScript\u002FTSX files.\n- [angrysky56\u002Fast-mcp-server](https:\u002F\u002Fgithub.com\u002Fangrysky56\u002Fast-mcp-server): Provides code structure and semantic analysis using AST and ASG for multiple programming languages, enhancing code analysis capabilities in Claude Desktop.\n- [joaomj\u002Fcode-reviewer-mcp](https:\u002F\u002Fgithub.com\u002Fjoaomj\u002Fcode-reviewer-mcp): Automated GitHub pull request code reviews using AI models via MCP integration.\n- [shaydo-deriv\u002Fgo-archer](https:\u002F\u002Fgithub.com\u002Fshaydo-deriv\u002Fgo-archer): Go Archer provides a visual representation of package dependencies and can operate as an MCP server for dependency analysis.\n- [RaRdq\u002FRR.MCP](https:\u002F\u002Fgithub.com\u002FRaRdq\u002FRR.MCP): Facilitates AI-driven .NET project analysis by extracting interfaces, models, and data structures using PowerShell scripts.\n- [mettamatt\u002Fcode-reasoning](https:\u002F\u002Fgithub.com\u002Fmettamatt\u002Fcode-reasoning): Enhances Claude's problem-solving capabilities by breaking down complex programming tasks into manageable steps using structured, sequential thinking.\n- [jpheimonen\u002Fcode-oracle](https:\u002F\u002Fgithub.com\u002Fjpheimonen\u002Fcode-oracle): Code Oracle leverages AI to efficiently locate code within large codebases using Gemini 2.5 Flash, integrating seamlessly as an MCP server in Cursor.\n- [FuelLabs\u002Ffuel-mcp-server](https:\u002F\u002Fgithub.com\u002FFuelLabs\u002Ffuel-mcp-server): Facilitates seamless IDE integration with Fuel Network and Sway Language documentation through advanced semantic search capabilities.\n- [AB498\u002Fcode-context-provider-mcp](https:\u002F\u002Fgithub.com\u002FAB498\u002Fcode-context-provider-mcp): Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers.\n- [alesr\u002Fgh-self-reviewer](https:\u002F\u002Fgithub.com\u002Falesr\u002Fgh-self-reviewer): A Go-based Anthropic MCP server facilitating self-review of GitHub pull requests with Claude AI integration.\n- [lq0910\u002Fvuesage](https:\u002F\u002Fgithub.com\u002Flq0910\u002Fvuesage): VueSage enhances Vue component quality through intelligent analysis and optimization, leveraging MCP for seamless integration with editors.\n- [Bamimore-Tomi\u002Fghidra_mcp](https:\u002F\u002Fgithub.com\u002FBamimore-Tomi\u002Fghidra_mcp): Transforms Ghidra into a reverse-engineering backend by extracting decompiled binary data and exposing it to LLMs via MCP.\n- [aidalinfo\u002Fmcp-clean-code](https:\u002F\u002Fgithub.com\u002Faidalinfo\u002Fmcp-clean-code): Facilitates the planning and creation of clean, well-structured code with comprehensive English comments, focusing on readability and maintainability.\n- [DocNR\u002Frepo-explorer](https:\u002F\u002Fgithub.com\u002FDocNR\u002Frepo-explorer): Efficiently explore and analyze Git repositories with advanced caching and cross-repository code pattern search, integrating seamlessly with Claude AI.\n- [yy1588133\u002Fcode-merge-mcp](https:\u002F\u002Fgithub.com\u002Fyy1588133\u002Fcode-merge-mcp): Facilitates code file extraction, merging, and analysis for large language models using the Model Context Protocol.\n- [davidleathers113\u002Ftypescript-analyzer-mcp](https:\u002F\u002Fgithub.com\u002Fdavidleathers113\u002Ftypescript-analyzer-mcp): Enhance TypeScript codebases by intelligently analyzing and replacing 'any' types with specific types, while offering React component interface generation and advanced error handling.\n- [Vulert](https:\u002F\u002Fwww.vulert.com): Vulert secures software by detecting vulnerabilities in open-source dependencies—without accessing your code. It supports Js, PHP, Java, Python, and more.\n- [priyankark\u002Fa11y-mcp](https:\u002F\u002Fgithub.com\u002Fpriyankark\u002Fa11y-mcp): Conducts comprehensive accessibility audits on webpages using axe-core, integrating seamlessly with AI assistants to address a11y issues.\n- [hanqizheng\u002Funit-test-generator-mcp-server](https:\u002F\u002Fgithub.com\u002Fhanqizheng\u002Funit-test-generator-mcp-server): Generates unit tests for component libraries using the MCP protocol.\n- [crisschan\u002Fmcp-jacoco-reporter](https:\u002F\u002Fgithub.com\u002Fcrisschan\u002Fmcp-jacoco-reporter): Transforms JaCoCo code coverage reports into AI-friendly formats for enhanced analysis and insights.\n- [Tomatio13\u002Fsoftware-checker-mcp](https:\u002F\u002Fgithub.com\u002FTomatio13\u002Fsoftware-checker-mcp): Facilitates comprehensive quality checks and release note generation for Git repositories, while also providing security risk analysis.\n- [smadi0x86\u002FGDB-MCP](https:\u002F\u002Fgithub.com\u002Fsmadi0x86\u002FGDB-MCP): Facilitates LLM-driven debugging and analysis with GDB through an MCP server interface.\n- [Ixe1\u002Fcode-scanner-server](https:\u002F\u002Fgithub.com\u002FIxe1\u002Fcode-scanner-server): A versatile tool for scanning code files, extracting definitions, and providing LLM-friendly outputs, with dual operation as a CLI tool and MCP server.\n- [mobilehackinglab\u002Fjadx-mcp-plugin](https:\u002F\u002Fgithub.com\u002Fmobilehackinglab\u002Fjadx-mcp-plugin): Facilitates decompiler access for Claude by bridging Jadx API over HTTP using MCP, enabling live interaction with decompiled code.\n- [first-to-fly\u002Fcode-cleanup](https:\u002F\u002Fgithub.com\u002Ffirst-to-fly\u002Fcode-cleanup): A Bun TypeScript project offering a Model Context Protocol server for code cleanup using Google's Generative AI, with features like backup, custom prompts, and professional formatting.\n- [hloiseaufcms\u002Fmcp-gopls](https:\u002F\u002Fgithub.com\u002Fhloiseaufcms\u002Fmcp-gopls): Facilitates AI assistants' interaction with Go's Language Server Protocol for enhanced code analysis and navigation.\n- [irvinebroque\u002Frepro-root-mcp-issue](https:\u002F\u002Fgithub.com\u002Firvinebroque\u002Frepro-root-mcp-issue): Deploy and manage a remote MCP server on Cloudflare Workers with OAuth login and integration with Claude Desktop.\n- [r-huijts\u002Fmcp-server-tester](https:\u002F\u002Fgithub.com\u002Fr-huijts\u002Fmcp-server-tester): A configuration-driven tool for automating tests and generating reports for MCP servers, leveraging Claude AI for intelligent test case generation.\n- [nodetec\u002Fnostr-code-snippet-mcp](https:\u002F\u002Fgithub.com\u002Fnodetec\u002Fnostr-code-snippet-mcp): Facilitates the execution of code snippets via a node-based MCP server.\n- [BangNGH\u002Fgithub-code-index-mcp-server](https:\u002F\u002Fgithub.com\u002FBangNGH\u002Fgithub-code-index-mcp-server): Facilitates code indexing, searching, and analysis for large language models across multiple programming languages.\n- [CodeLogicIncEngineering\u002Fcodelogic-mcp-server](https:\u002F\u002Fgithub.com\u002FCodeLogicIncEngineering\u002Fcodelogic-mcp-server): Leverage Codelogic's software dependency data for impact assessments in AI programming assistants.\n- [autonomous-testing\u002Fwopee-mcp](https:\u002F\u002Fgithub.com\u002Fautonomous-testing\u002Fwopee-mcp): AI testing agents for web apps — dispatch test runs, analysis crawls, and AI agent tests, fetch artifacts and project status.\n\n## 💻 Code Execution\n\nServers designed to execute code snippets or scripts in various languages, often in sandboxed environments.\n\n- [rapidriskradar\u002FRRR-MCP](https:\u002F\u002Fgithub.com\u002Frapidriskradar\u002FRRR-MCP): Facilitates the execution of RRR scripts through a configurable MCP server interface.\n- [Quathor\u002FCMD-Executor](https:\u002F\u002Fgithub.com\u002FQuathor\u002FCMD-Executor): Facilitates remote execution of Windows CMD commands via the MCP protocol, ensuring secure and configurable command execution.\n- [JSFrouws\u002Fmcp-matlab-executor](https:\u002F\u002Fgithub.com\u002FJSFrouws\u002Fmcp-matlab-executor): Securely execute MATLAB functions and scripts with user-approved security prompts.\n- [cloudywu0410\u002Fpython_sandbox_mcp_server](https:\u002F\u002Fgithub.com\u002Fcloudywu0410\u002Fpython_sandbox_mcp_server): Enables LLMs to execute Python code securely in isolated Docker containers with real-time communication via SSE.\n- [1Levick3\u002Fpostgresql-mcp-server](https:\u002F\u002Fgithub.com\u002F1Levick3\u002Fpostgresql-mcp-server): Facilitates direct SQL query execution on PostgreSQL databases with parameterized queries and configurable timeouts.\n- [madhavarora1988\u002Fmcp_sqlite_poc](https:\u002F\u002Fgithub.com\u002Fmadhavarora1988\u002Fmcp_sqlite_poc): Facilitates AI model interactions with SQLite databases through a Model Context Protocol server, offering query execution, schema discovery, and feedback collection.\n- [spences10\u002Fmcp-sequentialthinking-qa](https:\u002F\u002Fgithub.com\u002Fspences10\u002Fmcp-sequentialthinking-qa): Guides QA and verification processes by breaking down tasks into steps and recommending MCP tools with confidence scores and rationale.\n- [Stoicmehedi\u002FK-MCP](https:\u002F\u002Fgithub.com\u002FStoicmehedi\u002FK-MCP): K-MCP connects AI assistants to a Kali Linux terminal for AI-driven penetration testing and security research.\n- [tufantunc\u002Fssh-mcp](https:\u002F\u002Fgithub.com\u002Ftufantunc\u002Fssh-mcp): Enables secure execution of shell commands on remote Linux and Windows systems via SSH using the Model Context Protocol.\n- [alfonsograziano\u002Fnode-code-sandbox-mcp](https:\u002F\u002Fgithub.com\u002Falfonsograziano\u002Fnode-code-sandbox-mcp): Node.js server for executing JavaScript in isolated Docker containers with dynamic npm dependency management.\n- [MSAdministrator\u002Fenrichment-mcp](https:\u002F\u002Fgithub.com\u002FMSAdministrator\u002Fenrichment-mcp): Enhance security data by enriching observables using third-party services like VirusTotal and Hybrid Analysis.\n- [Ompragash\u002Fisolator-mcp](https:\u002F\u002Fgithub.com\u002FOmpragash\u002Fisolator-mcp): Facilitates secure execution of Python, Go, and JavaScript code snippets within isolated Docker containers, accessible via MCP.\n- [synackpwn\u002Fenrichment-mcp](https:\u002F\u002Fgithub.com\u002Fsynackpwn\u002Fenrichment-mcp): Enhances security data by enriching observables like IP addresses and domain names using third-party services.\n- [pkgxdev\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fpkgxdev\u002Fmcp): Facilitates AI-driven execution of any Open Source tool via pkgx, with a focus on security and sandboxing.\n- [stableversion\u002Flldb_mcp](https:\u002F\u002Fgithub.com\u002Fstableversion\u002Flldb_mcp): A streamlined LLDB MCP server with minimal dependencies, designed for efficient command execution and output capture.\n- [koido\u002Fextreme-p-mcp](https:\u002F\u002Fgithub.com\u002Fkoido\u002Fextreme-p-mcp): Facilitates extreme p-value calculations through an API interface using R scripts, integrated with Python via FastMCP.\n- [harshini-ns\u002Fmcp-search-engine](https:\u002F\u002Fgithub.com\u002Fharshini-ns\u002Fmcp-search-engine): A TypeScript-based MCP server offering a comprehensive suite of mathematical functions for seamless integration with language models.\n- [jordanperr\u002Fmcp-experiments](https:\u002F\u002Fgithub.com\u002Fjordanperr\u002Fmcp-experiments): Facilitates LLM-driven control of a Mac desktop via Bash and AppleScript commands.\n- [T1nker-1220\u002Faws-postgress-mcp-server](https:\u002F\u002Fgithub.com\u002FT1nker-1220\u002Faws-postgress-mcp-server): Facilitates read-only SQL query access to AWS PostgreSQL databases using the Model Context Protocol.\n- [texra-ai\u002Fmcp-server-mathematica](https:\u002F\u002Fgithub.com\u002Ftexra-ai\u002Fmcp-server-mathematica): Facilitates the execution of Mathematica code and verification of mathematical derivations through MCP client integration.\n- [svngoku\u002Fmcp-docker-code-interpreter](https:\u002F\u002Fgithub.com\u002Fsvngoku\u002Fmcp-docker-code-interpreter): A secure Docker-based environment for executing code through MCP, enabling AI assistants to run code safely within isolated containers.\n- [longxiangzhu\u002Fdb2-mcp](https:\u002F\u002Fgithub.com\u002Flongxiangzhu\u002Fdb2-mcp): Facilitates interaction with DB2 for LUW databases through SQL queries and stored procedures.\n- [pottekkat\u002Fsandbox-mcp](https:\u002F\u002Fgithub.com\u002Fpottekkat\u002Fsandbox-mcp): Sandbox MCP provides a secure environment for LLMs to execute code within isolated Docker containers, enhancing code accuracy and safety.\n- [dtkmn\u002Fmcp-zap-server](https:\u002F\u002Fgithub.com\u002Fdtkmn\u002Fmcp-zap-server): A Spring Boot application enabling AI agents to orchestrate OWASP ZAP actions through the Model Context Protocol.\n- [liuchongchong1995\u002Fnodejs](https:\u002F\u002Fgithub.com\u002Fliuchongchong1995\u002Fnodejs): Facilitates runtime debugging of Node.js applications using Cursor or Claude Code.\n- [chrisjmendez\u002Fmcp_quickstart](https:\u002F\u002Fgithub.com\u002Fchrisjmendez\u002Fmcp_quickstart): Facilitates secure local Claude brain setup using Docker, SQLite, and uvx for MCP-style queries.\n- [Dangoron\u002Fdefillama-mcp](https:\u002F\u002Fgithub.com\u002FDangoron\u002Fdefillama-mcp): Facilitates the execution of DeFiLlama data processing scripts through an MCP server configuration.\n- [tarjeir\u002Fchunker-mcp](https:\u002F\u002Fgithub.com\u002Ftarjeir\u002Fchunker-mcp): Facilitates code chunking and vectorization using LangChain, storing results in ChromaDB for advanced querying.\n- [bimalpaudels\u002Fpython-interpreter-mcp](https:\u002F\u002Fgithub.com\u002Fbimalpaudels\u002Fpython-interpreter-mcp): Facilitates the execution of Python scripts in a controlled environment using LLMs.\n- [johnhenry\u002Fvimble-mcp](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fvimble-mcp): Facilitates the execution of JavaScript code in a secure, sandboxed environment using Vimble.\n\n## 💬 Communication & Messaging\n\nServers for interacting with email, chat platforms, SMS, or notification services.\n\n- [jamesacklin\u002Ftlon-mcp-server](https:\u002F\u002Fgithub.com\u002Fjamesacklin\u002Ftlon-mcp-server): Facilitates interaction with Tlon agents through direct messaging, contact management, and natural language support.\n- [varunwahi-plivo\u002Fplivo-mcp-server](https:\u002F\u002Fgithub.com\u002Fvarunwahi-plivo\u002Fplivo-mcp-server): Facilitates SMS messaging through Plivo's API using the Message Control Protocol.\n- [virtualsms-io\u002Fvirtualsms-mcp](https:\u002F\u002Fgithub.com\u002Fvirtualsms-io\u002Fvirtualsms-mcp): Enables AI agents to get virtual phone numbers and receive SMS\u002FOTP codes for automated phone verification workflows via VirtualSMS API.\n- [deuslirio\u002Fmcp-server-whatsapp-message](https:\u002F\u002Fgithub.com\u002Fdeuslirio\u002Fmcp-server-whatsapp-message): Facilitates sending WhatsApp messages through the Meta WhatsApp Business API using MCP.\n- [theo-nash\u002Ftwitter-mcp-server](https:\u002F\u002Fgithub.com\u002Ftheo-nash\u002Ftwitter-mcp-server): Facilitates AI-driven interactions with Twitter, enabling operations like tweeting, searching, and user management without direct API access.\n- [sudhakarmlal\u002FERAV3-GMAILMCP](https:\u002F\u002Fgithub.com\u002Fsudhakarmlal\u002FERAV3-GMAILMCP): Facilitates seamless email management through the Gmail API, allowing users to send, read, and manage emails via an MCP client.\n- [operation-hp\u002FWA-MCP](https:\u002F\u002Fgithub.com\u002Foperation-hp\u002FWA-MCP): Facilitates interaction with MCP servers through WhatsApp using chat messages, leveraging whatsapp-web.js.\n- [va99\u002FNapier-mcp](https:\u002F\u002Fgithub.com\u002Fva99\u002FNapier-mcp): Facilitates AI-driven interactions with WhatsApp by bridging local environments to the WhatsApp web API, enabling message retrieval and media handling through a Python MCP server.\n- [kousunh\u002Falertmcp](https:\u002F\u002Fgithub.com\u002Fkousunh\u002Falertmcp): Facilitates desktop notifications from AI client tools with scheduling capabilities.\n- [arush15june\u002Fzammad-mcp-go](https:\u002F\u002Fgithub.com\u002Farush15june\u002Fzammad-mcp-go): Facilitates interaction with the Zammad API for managing tickets and users through structured MCP resources and tools.\n- [leshchenko1979\u002Ftg_mcp](https:\u002F\u002Fgithub.com\u002Fleshchenko1979\u002Ftg_mcp): Facilitates seamless interaction with Telegram through a robust API, enabling message search, chat management, and analytics within the Cursor IDE.\n- [nicekon\u002Fzendesk-mcp-server-kon](https:\u002F\u002Fgithub.com\u002Fnicekon\u002Fzendesk-mcp-server-kon): Enhances Zendesk integration by managing tickets, community posts, and knowledge base access.\n- [atorber\u002Fwechaty-mcp-sse](https:\u002F\u002Fgithub.com\u002Fatorber\u002Fwechaty-mcp-sse): Facilitates seamless integration between Wechaty and large language models like Claude, enabling message sending and contact querying via a TypeScript-based MCP server.\n- [firstorderai\u002Fauthenticator_mcp](https:\u002F\u002Fgithub.com\u002Ffirstorderai\u002Fauthenticator_mcp): Facilitates AI agents in securely accessing 2FA codes and passwords for automated login processes via the Authenticator App.\n- [imprvhub\u002Fmcp-status-observer](https:\u002F\u002Fgithub.com\u002Fimprvhub\u002Fmcp-status-observer): Facilitates real-time monitoring and querying of operational statuses for major digital platforms within Claude Desktop.\n- [Escorza07\u002Fwhatsapp-mcp](https:\u002F\u002Fgithub.com\u002FEscorza07\u002Fwhatsapp-mcp): Facilitates seamless interaction with WhatsApp through Claude by leveraging a Go bridge and Python MCP server for message management and contact search.\n- [karateboss\u002Fmcp_email_reader](https:\u002F\u002Fgithub.com\u002Fkarateboss\u002Fmcp_email_reader): Connects to an email server to read emails and manage attachments using MCP tools.\n- [tituslhy\u002Fsturdy-octo-fortnight](https:\u002F\u002Fgithub.com\u002Ftituslhy\u002Fsturdy-octo-fortnight): Facilitates seamless integration with Atlassian's Confluence and Jira through a robust MCP server, enabling efficient content management and issue tracking.\n- [noobnooc\u002Fwebhook-mcp](https:\u002F\u002Fgithub.com\u002Fnoobnooc\u002Fwebhook-mcp): Facilitates webhook notifications for task completion alerts via MCP server integration.\n- [orellazri\u002Fcoda-mcp](https:\u002F\u002Fgithub.com\u002Forellazri\u002Fcoda-mcp): Facilitates interaction with Coda documents by enabling actions like listing, creating, and modifying pages through an MCP server interface.\n- [scho-to\u002Fmcp-jira-cloud-v2](https:\u002F\u002Fgithub.com\u002Fscho-to\u002Fmcp-jira-cloud-v2): Facilitates interaction with Jira Cloud by fetching ticket information via MCP requests.\n- [YajieQi123\u002Fmcp-server-monday-qi](https:\u002F\u002Fgithub.com\u002FYajieQi123\u002Fmcp-server-monday-qi): Facilitates interaction with Monday.com boards, items, updates, and documents through an MCP server.\n- [alimo7amed93\u002Fwebhook-tester-mcp](https:\u002F\u002Fgithub.com\u002Falimo7amed93\u002Fwebhook-tester-mcp): A modular FastMCP server for managing and testing webhooks with webhook-test.com, enabling webhook observability and management.\n- [Escorza07\u002Fmcp-gmail-extension](https:\u002F\u002Fgithub.com\u002FEscorza07\u002Fmcp-gmail-extension): Facilitates seamless Gmail management through natural language interactions with automatic authentication support.\n- [Meerkats-Ai\u002Ffindymail-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Ffindymail-mcp-server): Integrates with the Findymail API to provide email validation and finding capabilities using MCP.\n- [BlackMac\u002Fsipgateio-mcp](https:\u002F\u002Fgithub.com\u002FBlackMac\u002Fsipgateio-mcp): Facilitates AI-driven interactions with sipgate services for SMS, calls, and account management.\n- [TharanaBope\u002Fwhatsapp-mcp-n8n](https:\u002F\u002Fgithub.com\u002FTharanaBope\u002Fwhatsapp-mcp-n8n): Facilitates seamless interaction with WhatsApp through Claude by enabling message retrieval, contact searches, and media exchanges via the WhatsApp web multidevice API.\n- [mskim8717\u002Fdooray-mcp](https:\u002F\u002Fgithub.com\u002Fmskim8717\u002Fdooray-mcp): Facilitates schedule management through Dooray API integration, enabling automatic time settings and location support.\n- [futuyu\u002FDiscord-webhook-MCP](https:\u002F\u002Fgithub.com\u002Ffutuyu\u002FDiscord-webhook-MCP): Facilitates message delivery to Discord using webhooks through the Model Context Protocol, with integration support for Claude Desktop.\n- [beylessai\u002Fhiworks-mcp](https:\u002F\u002Fgithub.com\u002Fbeylessai\u002Fhiworks-mcp): Facilitates email retrieval and sending through Hiworks Mail integration using MCP.\n- [team-telnyx\u002Ftelnyx-mcp-server](https:\u002F\u002Fgithub.com\u002Fteam-telnyx\u002Ftelnyx-mcp-server): Facilitates interaction with telephony, messaging, and AI assistant APIs, enabling MCP clients to manage communications and create AI-driven solutions.\n- [commune-sh\u002Fcommune-mcp](https:\u002F\u002Fgithub.com\u002Fcommune-sh\u002Fcommune-mcp): Provides email infrastructure for AI agents, enabling programmatic inbox creation, send\u002Freceive email, thread management across concurrent conversations, custom domains, structured extraction on inbound mail, and SMS.\n- [wazionapps\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fwazionapps\u002Fmcp-server): WAzion - WhatsApp Business platform with 244 MCP tools for messaging, CRM, campaigns, workflows, and AI automation. Supports Streamable HTTP and stdio transports.\n- [littlebearapps\u002Foutlook-assistant](https:\u002F\u002Fgithub.com\u002Flittlebearapps\u002Foutlook-assistant): MCP server for Microsoft Outlook with 20 consolidated tools for email, calendar, contacts, and mailbox management via Graph API. Features dry-run preview, session rate limiting, and recipient allowlists for safe email sending.\n\n## 📝 Content Management Systems\n\nServers specifically designed to interact with CMS platforms.\n\n- [UnMarkdown\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002FUnMarkdown\u002Fmcp-server): Converts markdown to formatted documents for Google Docs, Word, Slack, OneNote, Email, and Plain Text with 62 templates, plus document management and publishing via 7 MCP tools.\n- [edgarrmondragon\u002Flimesurvey-mcp](https:\u002F\u002Fgithub.com\u002Fedgarrmondragon\u002Flimesurvey-mcp): Facilitates seamless management of LimeSurvey surveys and responses through a dedicated MCP server.\n- [thoy-le-duc\u002Fmcp-woocommerce-thoy](https:\u002F\u002Fgithub.com\u002Fthoy-le-duc\u002Fmcp-woocommerce-thoy): Facilitates seamless WooCommerce store management via JSON-RPC 2.0, integrating with WordPress REST API across multiple platforms.\n- [aguaitech\u002FElementor-MCP](https:\u002F\u002Fgithub.com\u002Faguaitech\u002FElementor-MCP): Facilitates CRUD operations on Elementor data within WordPress using a simple MCP server.\n- [galatanovidiu\u002Fwp-wordpress-remote-proxy](https:\u002F\u002Fgithub.com\u002Fgalatanovidiu\u002Fwp-wordpress-remote-proxy): Facilitates seamless communication between local and remote WordPress MCP servers through a bidirectional proxy.\n- [cromewar\u002Fghost-mcp-server](https:\u002F\u002Fgithub.com\u002Fcromewar\u002Fghost-mcp-server): Facilitates seamless blog posting to Ghost CMS using Claude AI via the FastMCP framework.\n- [PragmaTech-GmbH\u002Fbootiful-wordpress-mcp-server](https:\u002F\u002Fgithub.com\u002FPragmaTech-GmbH\u002Fbootiful-wordpress-mcp-server): A Java and Spring Boot-based server facilitating WordPress integration through MCP.\n- [BCusack\u002Fsharepoint-mcp](https:\u002F\u002Fgithub.com\u002FBCusack\u002Fsharepoint-mcp): Facilitates access to organizational SharePoint resources via the Model Context Protocol, leveraging Microsoft Graph API for document management.\n- [SunnyCloudYang\u002Fhugo-mcp](https:\u002F\u002Fgithub.com\u002FSunnyCloudYang\u002Fhugo-mcp): Manage and deploy Hugo static sites with a comprehensive suite of tools for environment setup, site management, and theme customization.\n- [pixelsock\u002Fdirectus-mcp](https:\u002F\u002Fgithub.com\u002Fpixelsock\u002Fdirectus-mcp): Facilitates AI client interactions with Directus CMS via MCP, enabling seamless API integration.\n- [gopalcnepal\u002Fmcp-wordpress](https:\u002F\u002Fgithub.com\u002Fgopalcnepal\u002Fmcp-wordpress): Facilitates interaction with WordPress sites by fetching posts, pages, and categories using the REST API.\n- [injunko\u002Ffigma-mcp-server](https:\u002F\u002Fgithub.com\u002Finjunko\u002Ffigma-mcp-server): Enable AI-powered coding tools to access and implement Figma design data seamlessly.\n- [soggycactus\u002Fpaprika-3-mcp](https:\u002F\u002Fgithub.com\u002Fsoggycactus\u002Fpaprika-3-mcp): Facilitates natural language interaction with Paprika 3 recipes, enabling creation and editing via LLMs like Claude.\n- [mabeldata\u002Fpocketbase-mcp](https:\u002F\u002Fgithub.com\u002Fmabeldata\u002Fpocketbase-mcp): Facilitates interaction with PocketBase instances for managing records, files, and migrations.\n- [jpollock\u002Fwordpress-mcp](https:\u002F\u002Fgithub.com\u002Fjpollock\u002Fwordpress-mcp): Facilitates comprehensive management of WordPress sites through the REST API, offering tools for site, content, user, taxonomy, plugin, and theme management.\n- [calafate40\u002FMCP-FileMaker](https:\u002F\u002Fgithub.com\u002Fcalafate40\u002FMCP-FileMaker): Facilitates access to FileMaker databases via the Model Context Protocol with token-based authentication and record search capabilities.\n- [burnworks\u002Fmicrocms-api-mcp-server](https:\u002F\u002Fgithub.com\u002Fburnworks\u002Fmicrocms-api-mcp-server): Enables access to microCMS API through an MCP server, offering content retrieval, search, and filtering capabilities.\n- [loyaniu\u002Fmoodle-mcp](https:\u002F\u002Fgithub.com\u002Floyaniu\u002Fmoodle-mcp): Facilitates interaction with Moodle LMS through a Model Context Protocol server, offering features like retrieving upcoming events.\n- [Leonelberio\u002Fthe-wordpress-mcp-server](https:\u002F\u002Fgithub.com\u002FLeonelberio\u002Fthe-wordpress-mcp-server): Facilitates seamless interaction with WordPress sites via JSON-RPC 2.0, enabling post creation, retrieval, and updates through the WordPress REST API.\n- [tsainte\u002Fwordpress-automation-mcp](https:\u002F\u002Fgithub.com\u002Ftsainte\u002Fwordpress-automation-mcp): Automate WordPress post management with a Python-based MCP server, offering CRUD operations and post status handling.\n- [tonioshikanlu\u002Fmcp-gdrive-server](https:\u002F\u002Fgithub.com\u002Ftonioshikanlu\u002Fmcp-gdrive-server): Integrates with Google Drive to enable file listing, reading, and searching capabilities.\n- [Utsav-Ladani\u002FWordPress-MCP](https:\u002F\u002Fgithub.com\u002FUtsav-Ladani\u002FWordPress-MCP): Facilitates seamless content management in WordPress by enabling post creation, updates, and searches through a Model Context Protocol server.\n- [granthooks\u002FNocodb-MCP-Server](https:\u002F\u002Fgithub.com\u002Fgranthooks\u002FNocodb-MCP-Server): Facilitates CRUD operations on Nocodb databases via the Model Context Protocol, ensuring seamless integration and management of database records.\n- [rijkvanzanten\u002Fdirectus-mcp-server](https:\u002F\u002Fgithub.com\u002Frijkvanzanten\u002Fdirectus-mcp-server): Facilitates AI tool integration with Directus APIs, enabling seamless interaction and data retrieval.\n- [harlley\u002Fstoryblok-mcp](https:\u002F\u002Fgithub.com\u002Fharlley\u002Fstoryblok-mcp): Manage Storyblok components using natural language descriptions with this MCP implementation.\n- [starbuck93\u002Ftandoor-mcp-server](https:\u002F\u002Fgithub.com\u002Fstarbuck93\u002Ftandoor-mcp-server): Facilitates seamless interaction with Tandoor Recipe Manager, enabling recipe creation, meal planning, and shopping list management.\n- [theWDY\u002Foffice-editor-mcp](https:\u002F\u002Fgithub.com\u002FtheWDY\u002Foffice-editor-mcp): Enhance productivity by seamlessly integrating comprehensive Microsoft Office document processing capabilities into MCP Clients, enabling creation, editing, and management of Word, Excel, and PowerPoint documents without leaving the client environment.\n- [johnnyrobot\u002Fclaude-canvas-mcp](https:\u002F\u002Fgithub.com\u002Fjohnnyrobot\u002Fclaude-canvas-mcp): Facilitates seamless interaction with Canvas LMS through a Claude desktop MCP server, enabling comprehensive course and student management via the Canvas API.\n- [rakeshgangwar\u002Ffreshrss-server](https:\u002F\u002Fgithub.com\u002Frakeshgangwar\u002Ffreshrss-server): Facilitates AI interaction with FreshRSS feeds via the Fever API, enabling feed management and item retrieval.\n- [sdi2200262\u002Feclass-mcp-server](https:\u002F\u002Fgithub.com\u002Fsdi2200262\u002Feclass-mcp-server): Facilitates AI agents' interaction with Open eClass by enabling authentication, course retrieval, and session management.\n- [mrwyndham\u002Fpocketbase-mcp](https:\u002F\u002Fgithub.com\u002Fmrwyndham\u002Fpocketbase-mcp): Facilitates rapid development of PocketBase applications with advanced database operations and schema management.\n- [jonradoff\u002Flightcms](https:\u002F\u002Fgithub.com\u002Fjonradoff\u002Flightcms): AI-native CMS with 41 MCP tools for managing websites through natural language. Create pages, templates, assets, themes, collections, redirects, and more with full content versioning.\n\n## 📊 Data Analysis & Business Intelligence\n\nServers connecting to data warehouses, data query engines, analytics platforms, or specific data APIs.\n\n- [rotatingshov\u002Fgo-mcp-mysql](https:\u002F\u002Fgithub.com\u002Frotatingshov\u002Fgo-mcp-mysql): Effortlessly manage MySQL databases with a Go-based MCP server, offering CRUD operations and automation without the need for Node.js or Python.\n- [datafe\u002Fmaxcompute-mcp-server](https:\u002F\u002Fgithub.com\u002Fdatafe\u002Fmaxcompute-mcp-server): Facilitates data querying and schema management on Alibaba Cloud's MaxCompute platform using MCP protocol.\n- [atcol\u002Fglue-mcp](https:\u002F\u002Fgithub.com\u002Fatcol\u002Fglue-mcp): Facilitates interaction with AWS Glue Data Catalog through a model context protocol server.\n- [ronantakizawa\u002Fgis-dataconvertersion-mcp](https:\u002F\u002Fgithub.com\u002Fronantakizawa\u002Fgis-dataconvertersion-mcp): Facilitates geographic data conversion across multiple formats, enabling seamless integration with LLMs for spatial data manipulation.\n- [albertdow\u002Fmcp-datapi](https:\u002F\u002Fgithub.com\u002Falbertdow\u002Fmcp-datapi): Facilitates access to ECMWF's Climate Data Store catalogues and job statuses through an MCP server interface.\n- [4R9UN\u002Fmcp-kql-server](https:\u002F\u002Fgithub.com\u002F4R9UN\u002Fmcp-kql-server): Facilitates the execution of KQL queries against Azure Data Explorer within Claude Desktop, leveraging Azure CLI for secure authentication and structured data output.\n- [lancedb\u002Flancedb-mcp-server](https:\u002F\u002Fgithub.com\u002Flancedb\u002Flancedb-mcp-server): A serverless MCP server utilizing LanceDB for data storage and retrieval, designed as a reference for building complex MCP applications.\n- [phxdev1\u002Farchy-mcp](https:\u002F\u002Fgithub.com\u002Fphxdev1\u002Farchy-mcp): Archy transforms natural language and GitHub repository URLs into comprehensive architectural diagrams using Mermaid syntax.\n- [rithik-perera\u002FCodeCrunchMCP](https:\u002F\u002Fgithub.com\u002Frithik-perera\u002FCodeCrunchMCP): Analyze and visualize Azure usage data from CSV files, providing insights and summaries through an MCP server interface.\n- [orlando2019\u002Fxlsm-mcp-server](https:\u002F\u002Fgithub.com\u002Forlando2019\u002Fxlsm-mcp-server): Facilitates AI-driven manipulation of Excel files with macros, enhancing data analysis and office automation capabilities.\n- [under-doc\u002Funderdoc-tutorial-expense-analytics-mcp-sqlite](https:\u002F\u002Fgithub.com\u002Funder-doc\u002Funderdoc-tutorial-expense-analytics-mcp-sqlite): Facilitates expense analytics by integrating GenAI with an MCP server for SQLite, enabling natural language interaction with expense data.\n- [Meerkats-Ai\u002Fbuiltwith-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fbuiltwith-mcp-server): Integrates with the BuiltWith API to analyze and provide technology stack information for websites.\n- [OpenLinkSoftware\u002Fmcp-adonet-server](https:\u002F\u002Fgithub.com\u002FOpenLinkSoftware\u002Fmcp-adonet-server): A C# MCP server facilitating database interactions via ADO.NET, optimized for compatibility with Virtuoso and other ODBC-accessible DBMS platforms.\n- [hesslee\u002Fmcp-server-altibase](https:\u002F\u002Fgithub.com\u002Fhesslee\u002Fmcp-server-altibase): Facilitates database interaction and business intelligence through Altibase, enabling SQL queries and automatic business insight generation.\n- [arturborycki\u002Fmcp-teradata](https:\u002F\u002Fgithub.com\u002Farturborycki\u002Fmcp-teradata): Facilitates database interaction and business intelligence through Teradata with tools for executing SQL queries and analyzing data.\n- [plainsignal\u002Fplainsignal-mcp](https:\u002F\u002Fgithub.com\u002Fplainsignal\u002Fplainsignal-mcp): Facilitates analytics data retrieval and reporting through the MCP protocol for PlainSignal.\n- [mattfoster\u002Fkcve](https:\u002F\u002Fgithub.com\u002Fmattfoster\u002Fkcve): Facilitates querying Linux Kernel CVEs by integrating a basic MCP server with an SQLite database.\n- [2geonhyup\u002Fdart-mcp](https:\u002F\u002Fgithub.com\u002F2geonhyup\u002Fdart-mcp): Facilitates financial analysis and visualization of listed companies using DART API and Claude.\n- [mustafahasankhan\u002Fduckdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fmustafahasankhan\u002Fduckdb-mcp-server): Enables AI assistants to perform advanced data analysis on DuckDB using SQL, with seamless integration for multiple data sources and cloud storage.\n- [nananaman\u002FDuckDB-RAG-MCP-Sample](https:\u002F\u002Fgithub.com\u002Fnananaman\u002FDuckDB-RAG-MCP-Sample): Facilitates vectorized markdown document embedding and retrieval using DuckDB and MCP for enhanced RAG explanations.\n- [future3OOO\u002FDeep-Fusion-Research-](https:\u002F\u002Fgithub.com\u002Ffuture3OOO\u002FDeep-Fusion-Research-): A comprehensive workflow that integrates outputs from Gemini and OpenAI with Manus's live web\u002FAPI sweep for enhanced research synthesis.\n- [alexxx-db\u002Fdatabricks-genie-mcp](https:\u002F\u002Fgithub.com\u002Falexxx-db\u002Fdatabricks-genie-mcp): Integrate Databricks' AI\u002FBI assistant features with other applications through a standardized interface for natural language querying of data.\n- [MpLebron\u002FGeoDataProcessor-MCP](https:\u002F\u002Fgithub.com\u002FMpLebron\u002FGeoDataProcessor-MCP): Facilitates geospatial data processing through standardized interfaces, enabling large language models to access and utilize tools like WhiteBox and SAGA GIS.\n- [BioContext\u002FPubChem-MCP](https:\u002F\u002Fgithub.com\u002FBioContext\u002FPubChem-MCP): Access PubChem data for compounds, substances, and bioassays through a Model Context Protocol server.\n- [cygkichi\u002Festat-mcp-server](https:\u002F\u002Fgithub.com\u002Fcygkichi\u002Festat-mcp-server): Facilitates access to Japan's e-Stat API, enabling language models to search and retrieve government statistical data.\n- [mamisoa\u002Fmcp-alchemy](https:\u002F\u002Fgithub.com\u002Fmamisoa\u002Fmcp-alchemy): MCP Alchemy seamlessly integrates Claude Desktop with various databases, enabling advanced SQL query assistance and data analysis.\n- [variablenigh\u002Fexcel-mcp-server](https:\u002F\u002Fgithub.com\u002Fvariablenigh\u002Fexcel-mcp-server): Facilitates reading and writing spreadsheet data to MS Excel files using the Model Context Protocol.\n- [roastedculti\u002Fmetoro-mcp-server](https:\u002F\u002Fgithub.com\u002Froastedculti\u002Fmetoro-mcp-server): Facilitates interaction with Kubernetes clusters through the Claude Desktop App by leveraging the Model Context Protocol.\n- [cheukyin175\u002Fmetabase-mcp](https:\u002F\u002Fgithub.com\u002Fcheukyin175\u002Fmetabase-mcp): Facilitates seamless integration of AI assistants with Metabase analytics, enabling direct interaction with analytics data via MCP capabilities.\n- [Strale](https:\u002F\u002Fstrale.dev) - 250+ quality-scored capabilities for AI agents: company data across 27 countries, compliance checks (KYB, AML, sanctions, GDPR), financial validation, web intelligence, document extraction, developer tools, and data processing. Every capability independently tested with Strale Quality Score (SQS). Free tier available.\n- [trendsmcp\u002Ftrends-mcp](https:\u002F\u002Fgithub.com\u002Ftrendsmcp\u002Ftrends-mcp): Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI. Free API key, 20 requests\u002Fday.\n\n## 🗄️ Databases\n\nServers providing interfaces to various database types like SQL, NoSQL, Vector Databases, Graph Databases, Time-Series, etc.\n\n- [tkz24589\u002Fmcp_mongodb](https:\u002F\u002Fgithub.com\u002Ftkz24589\u002Fmcp_mongodb): Facilitates AI-driven interactions with MongoDB through natural language queries, supporting seamless data management and retrieval.\n- [cwilby\u002Fmcp-node-mssql](https:\u002F\u002Fgithub.com\u002Fcwilby\u002Fmcp-node-mssql): Facilitates SQL Server interactions via MCP using node-mssql, enabling seamless database management.\n- [wangzhaobo168\u002Fdm-mcp-server](https:\u002F\u002Fgithub.com\u002Fwangzhaobo168\u002Fdm-mcp-server): Facilitates interaction with Dameng databases by listing tables, executing read-only SQL queries, and displaying table structures.\n- [NomotoK\u002Fdoris-mcp-server](https:\u002F\u002Fgithub.com\u002FNomotoK\u002Fdoris-mcp-server): Facilitates secure, read-only SQL queries and schema exploration on Apache Doris databases for LLM applications.\n- [waii-ai\u002Fwaii-mcp-server](https:\u002F\u002Fgithub.com\u002Fwaii-ai\u002Fwaii-mcp-server): Facilitates natural language interaction with databases, enabling Language Models to execute queries and process data through WAII.\n- [affannahmed\u002FMCP-Server-with-Claude-Ai](https:\u002F\u002Fgithub.com\u002Faffannahmed\u002FMCP-Server-with-Claude-Ai): Facilitates secure interaction between AI applications and MySQL databases through a controlled MCP interface.\n- [ydb-platform\u002Fydb-mcp](https:\u002F\u002Fgithub.com\u002Fydb-platform\u002Fydb-mcp): Facilitates AI-driven interactions with YDB databases through a Model Context Protocol server, enabling natural language database operations.\n- [Moonlight-CL\u002Fredshift-mcp-server](https:\u002F\u002Fgithub.com\u002FMoonlight-CL\u002Fredshift-mcp-server): Facilitates AI assistant interactions with Amazon Redshift databases through a Python-based MCP server.\n- [Carlosfpc\u002Fmcp-mysql](https:\u002F\u002Fgithub.com\u002FCarlosfpc\u002Fmcp-mysql): Facilitates secure MySQL connections via SSH tunneling, enabling controlled database operations through an MCP server.\n- [orlando2019\u002FMCO-postgres](https:\u002F\u002Fgithub.com\u002Forlando2019\u002FMCO-postgres): Enables language models to perform read-only operations on PostgreSQL databases by providing schema inspection and query execution capabilities.\n- [Jite-J\u002F-mysql_mcp_server](https:\u002F\u002Fgithub.com\u002FJite-J\u002F-mysql_mcp_server): Facilitates secure interaction between AI applications and MySQL databases through a structured MCP interface.\n- [hmn53\u002Fsql-mcp](https:\u002F\u002Fgithub.com\u002Fhmn53\u002Fsql-mcp): Facilitates secure, read-only interactions between LLMs and SQL databases using MCP tools.\n- [fnf-deepHeading\u002Fmcp-snowflake-reader-ts](https:\u002F\u002Fgithub.com\u002Ffnf-deepHeading\u002Fmcp-snowflake-reader-ts): Provides secure, read-only access to Snowflake databases via the MCP protocol, supporting cross-platform functionality and query caching.\n- [cnosuke\u002Fmcp-mysql](https:\u002F\u002Fgithub.com\u002Fcnosuke\u002Fmcp-mysql): Facilitates MySQL database operations through a Go-based MCP server, enabling seamless integration with MCP clients for database querying and management.\n- [shensiqi0701\u002Fmysql-mcp-server-modification](https:\u002F\u002Fgithub.com\u002Fshensiqi0701\u002Fmysql-mcp-server-modification): Provides read-only access to MySQL databases, allowing users to list databases, tables, and execute queries through an MCP server.\n- [avarant\u002Ftypesense-mcp-server](https:\u002F\u002Fgithub.com\u002Favarant\u002Ftypesense-mcp-server): Facilitates seamless integration with Typesense by managing collections, documents, and search operations through MCP.\n- [tqvthu-works\u002Fmysql-mcp-server](https:\u002F\u002Fgithub.com\u002Ftqvthu-works\u002Fmysql-mcp-server): Facilitates interaction with MySQL databases in Cursor IDE through a Model Context Protocol server.\n- [allizwellai\u002Fmysql-mcp-server](https:\u002F\u002Fgithub.com\u002Fallizwellai\u002Fmysql-mcp-server): Facilitates secure, read-only access to MySQL databases, enabling users to list databases, tables, and execute queries with robust security features.\n- [shensiqi0701\u002FMCP-MySQL-server-implementation](https:\u002F\u002Fgithub.com\u002Fshensiqi0701\u002FMCP-MySQL-server-implementation): Facilitates LLMs in accessing and executing SQL queries on MySQL databases, with robust security and performance features.\n- [shibayu36\u002Fmysql-schema-explorer-mcp](https:\u002F\u002Fgithub.com\u002Fshibayu36\u002Fmysql-schema-explorer-mcp): Facilitates efficient access to MySQL database schema information using the Model Context Protocol, ideal for large-scale databases.\n- [asirulnik\u002Fmcp-law-office-db](https:\u002F\u002Fgithub.com\u002Fasirulnik\u002Fmcp-law-office-db): Facilitates efficient management of law office databases, focusing on client records, case filing, time tracking, and invoice management.\n- [adam2211\u002Fneon-mcp-loc](https:\u002F\u002Fgithub.com\u002Fadam2211\u002Fneon-mcp-loc): Facilitates natural language interaction with Neon Postgres databases, enabling seamless database management and migrations through intuitive commands.\n- [achrekarom12\u002Fmcp-mongo](https:\u002F\u002Fgithub.com\u002Fachrekarom12\u002Fmcp-mongo): Facilitates natural language interactions with MongoDB databases through a Model Context Protocol server, enabling LLMs to perform queries, schema exploration, and data operations.\n- [nature-lover-iv\u002Fneo4j-mcp](https:\u002F\u002Fgithub.com\u002Fnature-lover-iv\u002Fneo4j-mcp): Facilitates natural language interaction with Neo4j graph databases through the MCP protocol, enabling schema exploration, query execution, and database management.\n- [BioContext\u002FChemBL-MCP](https:\u002F\u002Fgithub.com\u002FBioContext\u002FChemBL-MCP): Access ChEMBL data through a Model Context Protocol server, enabling detailed queries on molecules, targets, assays, and bioactivity data.\n- [jt-atan\u002FAccess-COM](https:\u002F\u002Fgithub.com\u002Fjt-atan\u002FAccess-COM): Facilitates seamless interaction with 32-bit Microsoft Access databases through a Model Context Protocol tool, supporting SQL queries and linked table management.\n- [aliyun\u002Falibabacloud-adbpg-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-adbpg-mcp-server): Facilitates seamless interaction between AI Agents and AnalyticDB PostgreSQL databases for executing SQL operations and retrieving metadata.\n- [RichardHFYU\u002FMCP_Java_PSQL](https:\u002F\u002Fgithub.com\u002FRichardHFYU\u002FMCP_Java_PSQL): A Spring Boot and Spring AI-based MCP server for inspecting PostgreSQL database schemas, supporting SSE transport for integration with Cursor and other MCP clients.\n- [Pratye\u002FMEC-Postgres](https:\u002F\u002Fgithub.com\u002FPratye\u002FMEC-Postgres): Facilitates read and write operations on PostgreSQL databases, allowing LLMs to interact with database schemas and execute SQL queries.\n- [Malove86\u002Fmcp-mysql-server](https:\u002F\u002Fgithub.com\u002FMalove86\u002Fmcp-mysql-server): Facilitates AI model interactions with MySQL databases via a standardized interface, supporting both local and remote deployment modes.\n- [stucchi\u002Fdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fstucchi\u002Fdb-mcp-server): Database MCP server for MySQL, PostgreSQL, and MongoDB with SSH tunneling support. Run queries, explore schemas, and manage data across multiple database types.\n\n## 🛠️ Developer Productivity & Utilities\n\nServers enhancing developer workflows, integrating with IDEs, accessing documentation, API exploration, code generation helpers, or general dev utilities.\n\n- [cafeTechne\u002Fantigravity-link-extension](https:\u002F\u002Fgithub.com\u002FcafeTechne\u002Fantigravity-link-extension): MCP server + OpenAPI API to control Antigravity IDE instances (snapshot, send, stop generation, switch instance, task\u002Fwalkthrough\u002Fplan retrieval) with a mobile companion UI.\n- [rendoc](https:\u002F\u002Fgithub.com\u002Fyoryocoruxo-ai\u002Frendoc) - Generate professional PDF documents from HTML templates and dynamic data via MCP. Features template management, live preview, and usage tracking through rendoc.dev API.\n- [CristianCiubancan\u002Fsequentialthinking](https:\u002F\u002Fgithub.com\u002FCristianCiubancan\u002Fsequentialthinking): Facilitates dynamic problem-solving through structured, step-by-step thinking processes.\n- [hyperpolymath\u002Fboj-server](https:\u002F\u002Fgithub.com\u002Fhyperpolymath\u002Fboj-server): Unified MCP server with 40+ tools covering GitHub, GitLab, Cloudflare, Vercel, Gmail, Calendar, browser automation, research, ML, and 50+ pluggable cartridges for extensible developer workflows.\n- [gethopp\u002Ffigma-mcp-bridge](https:\u002F\u002Fgithub.com\u002Fgethopp\u002Ffigma-mcp-bridge): Bypasses Figma API rate limits by streaming live Figma document data to AI tools through a WebSocket-based plugin-server bridge with leader election and multi-instance management.\n- [izzzzzi\u002Fcodewiki-mcp](https:\u002F\u002Fgithub.com\u002Fizzzzzi\u002Fcodewiki-mcp): MCP server for codewiki.google — search repos, fetch AI-generated wiki docs, and ask questions about any open-source repository.\n- [jkosik\u002Fmcp-server-splunk](https:\u002F\u002Fgithub.com\u002Fjkosik\u002Fmcp-server-splunk): Facilitates seamless integration with Splunk by providing a Go-based MCP server supporting STDIO and SSE modes.\n- [OpenClaw MCP Ecosystem](https:\u002F\u002Fgithub.com\u002Fyedanyagamiai-cmd\u002Fopenclaw-mcp-servers) - 9 remote MCP servers on Cloudflare Workers: JSON toolkit, regex engine, color palette, timestamp converter, prompt enhancer, AI market intelligence, fortune\u002Fhoroscope, content publisher, and AI tool comparison. Free tier + Pro API keys ($9).\n- [uAI-solana\u002Fuseful-ai-mcp](https:\u002F\u002Fgithub.com\u002FuAI-solana\u002Fuseful-ai-mcp): Fully dynamic MCP server exposing 200+ shared utility tools for AI agents. Tool list updates automatically based on real usage data. Dispatch tasks in plain English, get structured output. No auth required. `https:\u002F\u002Fapi.usefulai.fun\u002Fmcp`\n- [OzorOwn\u002Ffrostbyte-mcp](https:\u002F\u002Fgithub.com\u002FOzorOwn\u002Ffrostbyte-mcp): Developer API toolkit with 13 tools — IP geolocation, crypto prices, DNS\u002FWHOIS lookup, website screenshots, web scraping, code execution (20+ languages), web search, URL shortener, PDF generation, pastebin, data conversion, and domain availability. One API key for 40+ services.\n- [twinic\u002FTwinic-server](https:\u002F\u002Fgithub.com\u002Ftwinic\u002FTwinic-server): Facilitates the installation and configuration of MCP servers through simple prompts, integrating with npm and PyPi.\n- [ejoyee\u002Fej-mcp-server-gdrive](https:\u002F\u002Fgithub.com\u002Fejoyee\u002Fej-mcp-server-gdrive): Integrates with Google Drive to enable file listing, reading, and searching capabilities.\n- [ElromEvedElElyon\u002Fclaw-mcp-toolkit](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fclaw-mcp-toolkit): Multi-purpose MCP toolkit with 26 tools across 5 modules — crypto (prices, trending, Fear & Greed), web (fetch, DNS, SSL, SEO), social (tweet gen, threads, content calendar), finance (stocks, forex, portfolio, invoices), and productivity (pomodoro, tasks, notes, reminders). Zero API keys, zero config. MIT license.\n- [joshuayoes\u002Fdeno-kv-mcp](https:\u002F\u002Fgithub.com\u002Fjoshuayoes\u002Fdeno-kv-mcp): Facilitates interaction with Deno KV instances through a robust MCP server, enabling seamless key-value operations.\n- [elhadjaoui\u002Fpr_reviewer](https:\u002F\u002Fgithub.com\u002Felhadjaoui\u002Fpr_reviewer): An MCP server that integrates with Claude Desktop to analyze GitHub Pull Requests and automatically saves reviews to Google Drive.\n- [skeet-build\u002Fskeet-local](https:\u002F\u002Fgithub.com\u002Fskeet-build\u002Fskeet-local): Facilitates seamless integration and configuration of Skeet MCP tools for database and search operations.\n- [Demontie\u002Fmcp-google-sheets](https:\u002F\u002Fgithub.com\u002FDemontie\u002Fmcp-google-sheets): Facilitates seamless data interaction with Google Sheets through a Model Context Protocol server.\n- [alvinveroy\u002Faider-mcp-client](https:\u002F\u002Fgithub.com\u002Falvinveroy\u002Faider-mcp-client): A Python tool that integrates MCP with Aider to fetch library documentation and enhance AI-assisted coding workflows.\n- [slavahatnuke\u002Foctolis-tech-support](https:\u002F\u002Fgithub.com\u002Fslavahatnuke\u002Foctolis-tech-support): Facilitates technical support operations through MCP server configurations.\n- [Hizuki1030\u002Fvisa-mcp](https:\u002F\u002Fgithub.com\u002FHizuki1030\u002Fvisa-mcp): Facilitates the control of oscilloscopes using the VISA architecture through an MCP server, enabling seamless integration and automation of various measurement tasks.\n- [charlesmuchene\u002Fpref-editor-mcp-server](https:\u002F\u002Fgithub.com\u002Fcharlesmuchene\u002Fpref-editor-mcp-server): Facilitates editing Android preferences through a dedicated MCP server, leveraging the Android Preference Editor tool.\n- [b3nguang\u002FServer-Inspection-MCP](https:\u002F\u002Fgithub.com\u002Fb3nguang\u002FServer-Inspection-MCP): Facilitates server inspection through an MCP program running on a PC, interfacing with server agents.\n- [ssaitho\u002Fdesign-system-mcp-sandbox](https:\u002F\u002Fgithub.com\u002Fssaitho\u002Fdesign-system-mcp-sandbox): Facilitates retrieval of component information from a design system in a sandbox environment.\n- [PyneSys\u002Fpatch-file-mcp](https:\u002F\u002Fgithub.com\u002FPyneSys\u002Fpatch-file-mcp): Facilitates precise file modifications using block format patches, ensuring safety and efficiency for AI-driven file editing tasks.\n- [Sofias-ai\u002Fmcp-sharepoint](https:\u002F\u002Fgithub.com\u002FSofias-ai\u002Fmcp-sharepoint): Facilitates seamless interaction with Microsoft SharePoint resources through a lightweight MCP server, optimizing document management operations.\n- [ZebraRoy\u002Freview-toolkit-mcp](https:\u002F\u002Fgithub.com\u002FZebraRoy\u002Freview-toolkit-mcp): Facilitates AI-driven code review sessions with features for session management, file tracking, and report generation.\n- [Aryan1718\u002Fmcp-sever-google-sheets](https:\u002F\u002Fgithub.com\u002FAryan1718\u002Fmcp-sever-google-sheets): Facilitates seamless interaction with Google Sheets for data manipulation through an MCP server.\n- [Xutaotaotao\u002Fmcp-get-installed-apps](https:\u002F\u002Fgithub.com\u002FXutaotaotao\u002Fmcp-get-installed-apps): Enables AI assistants to discover installed applications on MacOS and Windows through the Model Context Protocol.\n- [ai-wes\u002Fversion_checker_mcp](https:\u002F\u002Fgithub.com\u002Fai-wes\u002Fversion_checker_mcp): A specialized MCP server that aids developers in managing React Native and Expo projects by analyzing dependencies, checking compatibility, and reviewing changelogs.\n- [yo-ban\u002Fpoly-mcp-client](https:\u002F\u002Fgithub.com\u002Fyo-ban\u002Fpoly-mcp-client): A Python client library for managing connections to MCP servers, adapting tool definitions for Anthropic, OpenAI, and Gemini.\n- [furey\u002Flifx-api-mcp-server](https:\u002F\u002Fgithub.com\u002Ffurey\u002Flifx-api-mcp-server): Facilitates natural language control of LIFX smart lighting devices via the LIFX HTTP API, enabling actions like light management and effect activation through LLMs.\n- [aezizhu\u002Fsimple-mcp-fileserver](https:\u002F\u002Fgithub.com\u002Faezizhu\u002Fsimple-mcp-fileserver): Facilitates AI agents' interaction with local file systems via JSON-RPC for autonomous coding and code repair.\n- [yasu89\u002Fswitch-bot-mcp-server](https:\u002F\u002Fgithub.com\u002Fyasu89\u002Fswitch-bot-mcp-server): Facilitates interactive control of SwitchBot devices using the Model Context Protocol.\n- [iamkaia\u002Fmcp-server-implement](https:\u002F\u002Fgithub.com\u002Fiamkaia\u002Fmcp-server-implement): A collection of five MCP servers for integration with Claude Desktop, offering functionalities like email management, web page fetching, document manipulation, and filesystem operations.\n- [jsnanigans\u002Fmcpm](https:\u002F\u002Fgithub.com\u002Fjsnanigans\u002Fmcpm): A command-line tool for managing and proxying MCP servers, facilitating JSON-RPC communication and server configuration.\n- [mhappy78\u002Fmcp_ai_local_memory](https:\u002F\u002Fgithub.com\u002Fmhappy78\u002Fmcp_ai_local_memory): Facilitates file management operations on local systems using Model Context Protocol, enabling AI-driven local memory storage.\n- [miraclebakelaser\u002Fporkbun-mcp-server](https:\u002F\u002Fgithub.com\u002Fmiraclebakelaser\u002Fporkbun-mcp-server): Facilitates domain, DNS, and SSL management through the Porkbun API for MCP-compatible clients.\n- [urijan44\u002Fpr_creator_mcp](https:\u002F\u002Fgithub.com\u002Furijan44\u002Fpr_creator_mcp): Automates GitHub Pull Request creation with integration support for tools like Cursor and Claude.\n- [sbarbett\u002Fpihole-mcp-server](https:\u002F\u002Fgithub.com\u002Fsbarbett\u002Fpihole-mcp-server): Facilitates AI assistants in managing and querying Pi-hole configurations and metrics through a Model Context Protocol server.\n- [Agent Native Registry](https:\u002F\u002Fagentnativeregistry.com): Remote MCP server with 100+ developer tools scored on AI agent compatibility (0-100). Tools: `search_tools`, `get_score`, `compare_tools`. Helps agents pick the right API for any task without trial-and-error.\n- [Dave-London\u002FPare](https:\u002F\u002Fgithub.com\u002FDave-London\u002FPare): Suite of 16 MCP servers wrapping 240+ CLI developer tools (git, npm, Docker, test runners, build tools, linters, Python, Cargo, Go, GitHub, K8s) with structured JSON output via `outputSchema` + `structuredContent`. Up to 92% fewer tokens vs raw CLI output. MIT licensed, 1,850+ tests.\n- [rm-rf-prod\u002FGroundTruth-MCP](https:\u002F\u002Fgithub.com\u002Frm-rf-prod\u002FGroundTruth-MCP): Self-hosted MCP server for live documentation, code audits, and best practices. 363+ curated libraries with npm\u002FPyPI\u002Fcrates.io\u002FGo fallback, 100+ audit patterns across 18 categories with file:line locations and live fixes. No rate limits.\n- [saurav61091\u002Fmcp-openapi](https:\u002F\u002Fgithub.com\u002Fsaurav61091\u002Fmcp-openapi): Turn any OpenAPI 3.x spec into MCP tools for Claude — zero config, instant API access.\n\n- [mcp-lint](https:\u002F\u002Fgithub.com\u002Frobert19001-cmyk\u002Fmcp-lint): CLI linting tool that validates MCP server tool schemas for cross-client compatibility across Claude, Cursor, Gemini, and VS Code Copilot. Features 13 rules, auto-fix for safe issues, JSON\u002FMarkdown output, and support for static files and live MCP servers via stdio\u002FSSE.\n## 📁 Filesystems\n\nServers focused on interacting with local or remote file systems for reading, writing, editing, listing, or managing files and directories.\n\n- [MVA-MCP-servers\u002Ffilesystem](https:\u002F\u002Fgithub.com\u002FMVA-MCP-servers\u002Ffilesystem): Node.js server for advanced filesystem operations using Model Context Protocol, featuring smart file management and directory navigation.\n- [yinzhouzhi\u002Ffilesystem-server](https:\u002F\u002Fgithub.com\u002Fyinzhouzhi\u002Ffilesystem-server): Facilitates local filesystem access and operations through a Model Context Protocol-based server.\n- [CyberT33N\u002Fmcp-filesystem-extended](https:\u002F\u002Fgithub.com\u002FCyberT33N\u002Fmcp-filesystem-extended): Node.js server for comprehensive filesystem operations using the Model Context Protocol.\n- [fast-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fefforthye\u002Ffast-filesystem-mcp): Advanced filesystem operations with large file handling capabilities and Claude-optimized features. Provides fast file reading\u002Fwriting, sequential reading for large files, directory operations, file search, and streaming writes with backup & recovery.\n- [webconsulting\u002Fmcp-server-wsl-filesystem](https:\u002F\u002Fgithub.com\u002Fwebconsulting\u002Fmcp-server-wsl-filesystem): Optimized for WSL, this Node.js server facilitates seamless filesystem operations between Windows and Linux distributions, enhancing performance and control for WSL users.\n- [asirulnik\u002Fmcp_server_filesystem_01](https:\u002F\u002Fgithub.com\u002Fasirulnik\u002Fmcp_server_filesystem_01): Facilitates AI-driven file system operations within a project directory, enabling seamless code interaction and management.\n- [arunjavagithub\u002FMCPJavaFileSystem](https:\u002F\u002Fgithub.com\u002Farunjavagithub\u002FMCPJavaFileSystem): A Java-based MCP server enabling LLM agents to perform filesystem operations and web content retrieval.\n- [danielsuguimoto\u002Freadonly-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fdanielsuguimoto\u002Freadonly-filesystem-mcp): Node.js server for readonly filesystem operations using Model Context Protocol.\n- [cyanheads\u002Ffilesystem-mcp-server](https:\u002F\u002Fgithub.com\u002Fcyanheads\u002Ffilesystem-mcp-server): Facilitates AI agents with secure, platform-independent file system operations, including advanced search\u002Freplace and directory management.\n- [abhishekloiwal\u002Fmcp-file-server](https:\u002F\u002Fgithub.com\u002Fabhishekloiwal\u002Fmcp-file-server): Facilitates local file system operations for AI assistants via an MCP server, enabling file reading, writing, and management.\n- [axlwolf\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002Faxlwolf\u002Ffilesystem-mcp): Node.js server for performing filesystem operations using the Model Context Protocol, enabling file manipulation, directory management, and metadata retrieval.\n- [alexissinglaire\u002Ffilesystemcustom_final](https:\u002F\u002Fgithub.com\u002Falexissinglaire\u002Ffilesystemcustom_final): Node.js server for executing filesystem operations via Model Context Protocol, enabling file manipulation and directory management within specified boundaries.\n- [ysthink\u002FFilesystem-MCP-Server-SSE](https:\u002F\u002Fgithub.com\u002Fysthink\u002FFilesystem-MCP-Server-SSE): Facilitates filesystem operations through a Node.js server using SSE for efficient file management and directory handling.\n- [u1i\u002Fmcp-server-disk-usage](https:\u002F\u002Fgithub.com\u002Fu1i\u002Fmcp-server-disk-usage): Enables real-time disk usage monitoring on macOS through Claude integration, providing detailed storage statistics.\n- [alexissinglaire\u002Ffilesystemcustom-test](https:\u002F\u002Fgithub.com\u002Falexissinglaire\u002Ffilesystemcustom-test): Node.js server for executing filesystem operations via Model Context Protocol, enabling file manipulation, directory management, and metadata retrieval.\n- [sebastianbachmaier\u002Fsave-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fsebastianbachmaier\u002Fsave-filesystem-mcp): A filesystem MCP server enabling secure file operations within a designated root directory, preventing unauthorized access beyond specified boundaries.\n- [Do-Boo\u002FMCP-SynoLink](https:\u002F\u002Fgithub.com\u002FDo-Boo\u002FMCP-SynoLink): Facilitates file operations on Synology NAS devices through AI assistants using Node.js.\n- [sylphlab\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002Fsylphlab\u002Ffilesystem-mcp): Node.js server offering secure and efficient filesystem access for AI agents, ensuring operations are confined to a project root.\n- [alexbakers\u002Fmcp-ipfs](https:\u002F\u002Fgithub.com\u002Falexbakers\u002Fmcp-ipfs): Facilitates seamless interaction with storacha.network via the w3 CLI, enabling language models and MCP clients to manage spaces, data, and delegations.\n- [gabrielmaialva33\u002Fmcp-filesystem](https:\u002F\u002Fgithub.com\u002Fgabrielmaialva33\u002Fmcp-filesystem): Provides secure filesystem access for AI models with strict path validation and predefined directory constraints.\n- [RIKTESH89\u002Fmcp_cli_filesystem](https:\u002F\u002Fgithub.com\u002FRIKTESH89\u002Fmcp_cli_filesystem): A command-line interface for interacting with Model Context Provider servers, enabling seamless communication with LLMs through the CHUK-MCP protocol library.\n- [linimbus\u002Fgo-mcp-file-server](https:\u002F\u002Fgithub.com\u002Flinimbus\u002Fgo-mcp-file-server): A Go-based MCP server for local file system management with APIs for querying and opening files, utilizing SQLite3 for file indexing and supporting remote calls via MCP client.\n- [Priyonuj\u002Fmcp-file-navigator](https:\u002F\u002Fgithub.com\u002FPriyonuj\u002Fmcp-file-navigator): Facilitates secure file system operations and Git command execution through a standardized MCP interface, enhancing AI assistant capabilities.\n- [DenizkarayusufogluGit\u002Fmcp-filesys](https:\u002F\u002Fgithub.com\u002FDenizkarayusufogluGit\u002Fmcp-filesys): Facilitates secure filesystem access for AI models via JSON-RPC requests, adhering to the MCP specification.\n- [AleksanStark\u002Fmcp-ipfs-server](https:\u002F\u002Fgithub.com\u002FAleksanStark\u002Fmcp-ipfs-server): A server leveraging IPFS for decentralized data storage and retrieval, integrated with Claude AI for enhanced MCP interactions.\n- [0kenx\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002F0kenx\u002Ffilesystem-mcp): A Python-based MCP server for secure and efficient filesystem operations, featuring advanced file manipulation, directory management, and search capabilities.\n- [mateicanavra\u002Fmcp-filesystem](https:\u002F\u002Fgithub.com\u002Fmateicanavra\u002Fmcp-filesystem): Node.js server for secure and controlled filesystem operations using the Model Context Protocol.\n- [stephanj\u002FMCPJavaFileSystem](https:\u002F\u002Fgithub.com\u002Fstephanj\u002FMCPJavaFileSystem): Facilitates LLM agents' interaction with local filesystems and web resources through a Java-based MCP server.\n- [SDILogin\u002Ffilesystem-android](https:\u002F\u002Fgithub.com\u002FSDILogin\u002Ffilesystem-android): A Claude MCP server facilitating secure access to Android project files for AI-assisted code navigation and analysis.\n- [1yhy\u002Foss-mcp](https:\u002F\u002Fgithub.com\u002F1yhy\u002Foss-mcp): Facilitates seamless file uploads to Alibaba Cloud OSS, integrating with various MCP tools for enhanced workflow automation.\n- [diganto-deb\u002Flocal_file_organizer](https:\u002F\u002Fgithub.com\u002Fdiganto-deb\u002Flocal_file_organizer): A Python-based system that organizes and manages files across directories using the Model Context Protocol framework.\n\n## 💰 Finance & Crypto\n\nServers dealing with financial data, stock markets, cryptocurrency exchanges\u002Fdata, trading bots, banking APIs, accounting software, or blockchain interactions.\n\n- [FinancialData.Net MCP Server](https:\u002F\u002Ffinancialdata.net\u002Fmcp-server) - Get real-time stock prices, fundamentals, institutional trading insights, and other financial data delivered through a universal Model Context Protocol (MCP) server.\n- [cnghockey\u002Fsats4ai-mcp-server](https:\u002F\u002Fgithub.com\u002Fcnghockey\u002Fsats4ai-mcp-server) - Bitcoin Lightning-powered AI tools marketplace. 20+ tools for image, video, audio, text generation, TTS (467 voices), web search, document conversion, and phone calls. Pay per use with sats, no signup. Install: `npx sats4ai-mcp`.\n- [zemloai-ctrl\u002Felecz-api](https:\u002F\u002Fgithub.com\u002Fzemloai-ctrl\u002Felecz-api) - Real-time Nordic and German electricity spot price API and MCP server. Fetches ENTSO-E day-ahead prices for Finland, Sweden, Norway, Denmark, and Germany with actionable contract recommendations for AI agents.\n- [ElromEvedElElyon\u002Fsovereign-agent-chain](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsovereign-agent-chain): Bitcoin-native AI agent marketplace with AGT meta-protocol on OP_RETURN. 32 MCP tools — PSBT wallet bridge, cross-chain swaps (BTC\u002FSOL\u002FETH\u002FRunes), agent registry, reputation system, escrow, and block scanner. 258 tests. Install: `git clone https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsovereign-agent-chain.git && cd sovereign-agent-chain && npm install && npm run build`\n- [ElromEvedElElyon\u002Fflash-payment-system](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fflash-payment-system): First write-capable Bitcoin Runes MCP server. 12 tools — mint, transfer, batch-mint, list BITCOIN•USD•ONE Runes, Chainlink Proof of Reserves, agent swarm coordination, and x402 agent-to-agent payments. bUSD1 stablecoin backed 1:1 by Runes on Bitcoin L1. 99 tests. Install: `git clone https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fflash-payment-system.git && cd flash-payment-system && npm install && npm run build`\n- [atxp-dev\u002Fatxp](https:\u002F\u002Fgithub.com\u002Fatxp-dev\u002Fatxp): Agent identity platform. One command (`npx atxp@latest agent register`) gives your AI agent a USDC wallet (Base), @atxp.email inbox, phone number, and 100+ paid MCP tools including web search, image gen, SMS, voice calls, and 100+ LLM models. Self-registers without human login. $5 free credits. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP client.\n- [covalenthq\u002Fgoldrush-mcp-server](https:\u002F\u002Fgoldrush.dev\u002Fdocs\u002Fgoldrush-mcp-server): Blockchain data across 100+ chains — wallet balances, token prices, transactions, DEX pairs, and more. REST API, real-time WebSocket with OHLCV price feeds, CLI, and x402 pay-per-request.\n- [HCS412\u002Fventureautomated](https:\u002F\u002Fgithub.com\u002FHCS412\u002Fventureautomated) [glama](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fconnectors\u002Fio.github.HCS412\u002Fventureautomated-omnis): Remote venture intelligence MCP for autonomous agents with startup discovery, company scoring, monitoring, and enterprise workspace automation.\n- [0xsl1m\u002Fcerebrus-pulse-mcp](https:\u002F\u002Fgithub.com\u002F0xsl1m\u002Fcerebrus-pulse-mcp): Real-time crypto intelligence for Hyperliquid perpetuals — RSI, EMAs, Bollinger Bands, funding rates, and sentiment for 30+ assets. Pay-per-call via x402 micropayments (USDC on Base).\n- [8144225309\u002Fsuperscalar-mcp](https:\u002F\u002Fgithub.com\u002F8144225309\u002Fsuperscalar-mcp): Bitcoin Lightning channel factory MCP server with 4 tools — protocol overview, UTXO savings estimator, architecture deep-dives (invalidation trees, timeout trees, MuSig2, watchtowers), and resource links. Based on SuperScalar, which onboards N users into one shared UTXO with no soft fork required.\n- [douglasborthwick-crypto\u002Fmcp-server-insumer](https:\u002F\u002Fgithub.com\u002Fdouglasborthwick-crypto\u002Fmcp-server-insumer): On-chain token verification and ECDSA-signed attestation across 31 EVM blockchains. 16 tools for AI agents to verify holdings, generate proofs, manage merchants, and process USDC payments.\n- [debridge-finance\u002Fdebridge-mcp](https:\u002F\u002Fgithub.com\u002Fdebridge-finance\u002Fdebridge-mcp): MCP server for the deBridge protocol, enabling AI agents to find optimal cross-chain swap routes, check fees and conditions, and initiate non-custodial trades across major blockchain networks.\n- [OzorOwn\u002Fdefi-mcp](https:\u002F\u002Fgithub.com\u002FOzorOwn\u002Fdefi-mcp): DeFi MCP server providing 12 tools: token prices (CoinGecko), multi-chain wallet balances across 6 EVM chains, gas prices, and DEX swap quotes via 1inch (EVM) + Jupiter (Solana). No API key required for basic usage. MIT license.\n- [izzzzzi\u002FizTolkMcp](https:\u002F\u002Fgithub.com\u002Fizzzzzi\u002FizTolkMcp): MCP server for the Tolk smart contract compiler on TON blockchain. Compile, syntax-check, and generate deployment links for TON smart contracts from any AI assistant. 4 tools, 3 resources, 33 tests.\n- [BrunoPessoa22\u002Fchiliz-marketing-intel](https:\u002F\u002Fgithub.com\u002FBrunoPessoa22\u002Fchiliz-marketing-intel): 67+ tools for fan token intelligence — whale flows, signal scores, sports calendar, backtesting, DEX trading, social sentiment. SSE with Bearer auth.\n- [decidefyi\u002Fdecide](https:\u002F\u002Fgithub.com\u002Fdecidefyi\u002Fdecide) – Deterministic MCP notary suite for subscription policies: refund, cancellation, return, and trial terms. Stateless, read-only rules engine with auditable verdicts.\n- [agentc22\u002Fx402engine-mcp](https:\u002F\u002Fgithub.com\u002Fagentc22\u002Fx402engine-mcp): 51 pay-per-call APIs for AI agents — 23 LLMs (GPT-5.2, GPT-4o, Claude, Gemini, Grok, DeepSeek, Llama, Mistral, Qwen, Perplexity, Kimi, MiniMax, GLM, Devstral), image\u002Fvideo generation, code execution, TTS, transcription, embeddings, crypto data, wallet analytics, ENS, tx simulation, web scraping, and IPFS via HTTP 402 micropayments with USDC on Base\u002FSolana and USDm on MegaETH.\n- [fernikolic\u002Fclawdentials](https:\u002F\u002Fgithub.com\u002Ffernikolic\u002Fclawdentials): Trust layer for agent commerce with escrow, reputation, and payments. Enables AI agents to accept paid tasks with guaranteed payment, build verifiable reputation, and earn money in USDC, USDT, or BTC.\n- [ahmetsbilgin\u002Ffinbrain-mcp](https:\u002F\u002Fgithub.com\u002Fahmetsbilgin\u002Ffinbrain-mcp): Access institutional-grade alternative financial data directly in your LLM workflows.\n- [PreReason\u002Fmcp](https:\u002F\u002Fgithub.com\u002FPreReason\u002Fmcp): Pre-analyzed financial market briefings for AI agents. Returns trend signals, regime classification, and confidence scores instead of raw price feeds. 17 briefings covering BTC, macro, and cross-asset data. Markdown-first output, also available via REST API and x402 pay-per-call.\n- [ccassini\u002FDEVNADS-Monad-TESNET-MCP-Tools](https:\u002F\u002Fgithub.com\u002Fccassini\u002FDEVNADS-Monad-TESNET-MCP-Tools): Interact with the Monad blockchain testnet using a Model Context Protocol server for wallet management, network insights, and token operations.\n- [SheriffOladejo\u002Fmcp-monad](https:\u002F\u002Fgithub.com\u002FSheriffOladejo\u002Fmcp-monad): Facilitates querying MON token balances on the Monad testnet via an MCP server.\n- [letsbonk-ai\u002Fbonk-mcp](https:\u002F\u002Fgithub.com\u002Fletsbonk-ai\u002Fbonk-mcp): Facilitates token launching and trading on the LetsBonk platform using Solana blockchain capabilities.\n- [mvk24199\u002Fzerodha-trade](https:\u002F\u002Fgithub.com\u002Fmvk24199\u002Fzerodha-trade): Facilitates automated stock trading on the Zerodha platform using Bun.js and Claude MCP integration.\n- [acambitsis\u002Fmcp-investec-sapb-simple](https:\u002F\u002Fgithub.com\u002Facambitsis\u002Fmcp-investec-sapb-simple): Facilitates seamless interaction with Investec SA Private Banking API through a streamlined MCP server implementation.\n- [wealthy\u002Fwealthy-mcp](https:\u002F\u002Fgithub.com\u002Fwealthy\u002Fwealthy-mcp): Facilitates smart trading on the Wealthy platform through a Golang-based MCP server, enabling seamless integration with trading tools and platforms like Claude and Cursor.\n- [zlinzzzz\u002FfinData-mcp-server](https:\u002F\u002Fgithub.com\u002Fzlinzzzz\u002FfinData-mcp-server): Provides professional-grade financial data access for AI applications through a Model Context Protocol server, supporting multiple data providers like Tushare and Wind.\n- [leoncuhk\u002Fmcp-yahoo-finance](https:\u002F\u002Fgithub.com\u002Fleoncuhk\u002Fmcp-yahoo-finance): Facilitates interaction with Yahoo Finance for retrieving financial data and generating visual analytics.\n- [Sifu213\u002Fmonad-mcp-magiceden](https:\u002F\u002Fgithub.com\u002FSifu213\u002Fmonad-mcp-magiceden): Facilitates interaction with NFT data on the Monad testnet, offering insights into holder addresses, total NFT value, and trending collections by sales and volume.\n- [MCPxLabs\u002Fmcpsol](https:\u002F\u002Fgithub.com\u002FMCPxLabs\u002Fmcpsol): Facilitates AI-driven interactions with the Solana blockchain, enabling seamless execution of transactions and management of wallets through a standardized interface.\n- [shieldspprt\u002Fsolhunt-recovery](https:\u002F\u002Fgithub.com\u002Fshieldspprt\u002Fsolhunt-recovery): Solana wallet health analysis and SOL recovery. Check wallet efficiency, find recoverable SOL from zero-balance token accounts, and build trustless recovery transactions.\n- [atompsv\u002Fmy-red-envelope](https:\u002F\u002Fgithub.com\u002Fatompsv\u002Fmy-red-envelope): Facilitates querying MON token balances on the Monad testnet via an MCP server.\n- [lispking\u002Fmonad-mcp-server](https:\u002F\u002Fgithub.com\u002Flispking\u002Fmonad-mcp-server): Facilitates interactions with the Monad testnet, enabling token balance checks, transaction handling, and smart contract deployment.\n- [AyushRatan1\u002FOnfinance-MCP-Polymarket](https:\u002F\u002Fgithub.com\u002FAyushRatan1\u002FOnfinance-MCP-Polymarket): Facilitates real-time interaction with prediction markets using Claude Desktop and custom data analysis tools.\n- [AlexVagrant\u002Fmonad-mcp](https:\u002F\u002Fgithub.com\u002FAlexVagrant\u002Fmonad-mcp): Facilitates querying MON token balances on the Monad testnet through an MCP server integrated with Claude Desktop.\n- [apimatic\u002Fpnz-mcp-server](https:\u002F\u002Fgithub.com\u002Fapimatic\u002Fpnz-mcp-server): Facilitates secure payment transactions through the PaymentsNZ MCP server, integrating with Claude Desktop for streamlined operations.\n- [kukapay\u002Fetf-flow-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fetf-flow-mcp): Delivers crypto ETF flow data to enhance AI agents' decision-making capabilities.\n- [nvmmonkey\u002FRootdata-MCP](https:\u002F\u002Fgithub.com\u002Fnvmmonkey\u002FRootdata-MCP): Integrate RootData's crypto asset data into AI applications with a comprehensive MCP server offering detailed analysis, market trends, and ecosystem mapping.\n- [rawakinode\u002Fmonad-bridge-mcp-server](https:\u002F\u002Fgithub.com\u002Frawakinode\u002Fmonad-bridge-mcp-server): Facilitates bridging between Ethereum Sepolia and Monad Testnet networks using the Wormhole bridge.\n- [Xiawpohr\u002Fmetamask-mcp](https:\u002F\u002Fgithub.com\u002FXiawpohr\u002Fmetamask-mcp): Facilitates blockchain interactions through MetaMask while ensuring private key security during LLM operations.\n- [Veenoway\u002Fmonad-mcp-server](https:\u002F\u002Fgithub.com\u002FVeenoway\u002Fmonad-mcp-server): Interact with the Monad blockchain using a suite of DeFi tools, including token swaps, NFT minting, and smart contract deployment.\n- [0xanpham\u002Fmy-crypto-mcp](https:\u002F\u002Fgithub.com\u002F0xanpham\u002Fmy-crypto-mcp): Provides real-time cryptocurrency data through Claude Desktop by connecting to the CoinMarketCap API.\n- [aixbt\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Faixbt\u002Fmcp-server): Facilitates cryptocurrency data retrieval and analysis through a Model Context Protocol server for AIXBT API.\n- [DuneRaccoon\u002Ffinancial-markets-analyser](https:\u002F\u002Fgithub.com\u002FDuneRaccoon\u002Ffinancial-markets-analyser): FastMCP server providing financial data endpoints for stocks and cryptocurrencies with multi-source fallback for reliability.\n- [thryxagi\u002Fobsd-launchpad](https:\u002F\u002Fgithub.com\u002Fthryxagi\u002Fobsd-launchpad): Full token lifecycle MCP for AI agents on Base. 12 tools: deploy tokens, buy, sell, claim fees, quotes, referral program, and earnings analytics via `npx obsd-launchpad-mcp`. Treasury-backed intrinsic value floor, progressive sell tax, 37.5% passive OBSD income. 10 verified contracts, 275 tests.\n- [MardiantoS\u002Falpaca-mcp-server](https:\u002F\u002Fgithub.com\u002FMardiantoS\u002Falpaca-mcp-server): Facilitates interaction between Large Language Models and Alpaca's trading API for automated trading operations.\n- [alokamgnaneswarasai\u002Fnuvama-mcp](https:\u002F\u002Fgithub.com\u002Falokamgnaneswarasai\u002Fnuvama-mcp): Integrates Nuvama's trading platform with Claude AI, enabling direct interaction and trading through a FastMCP server.\n- [charlesverge\u002Fmcp_open_interest](https:\u002F\u002Fgithub.com\u002Fcharlesverge\u002Fmcp_open_interest): Analyzes options open interest data to calculate market sentiment using put\u002Fcall ratios for specified stock symbols.\n- [abdulazeem-tk4vr\u002Fshardeum-mcp-server](https:\u002F\u002Fgithub.com\u002Fabdulazeem-tk4vr\u002Fshardeum-mcp-server): Facilitates seamless interaction with the Shardeum blockchain using standardized RPC methods, enhancing AI and application integration.\n- [redDwarf03\u002Farchethic-uco-mcp](https:\u002F\u002Fgithub.com\u002FredDwarf03\u002Farchethic-uco-mcp): Provides real-time UCO token prices from the Archethic network's OracleChain via GraphQL API for AI agents and applications.\n- [AI-Strategy-Enablement\u002Fmcp-economic](https:\u002F\u002Fgithub.com\u002FAI-Strategy-Enablement\u002Fmcp-economic): Facilitates seamless interaction with e-conomic's API for comprehensive financial management through standardized MCP commands.\n- [hive-intel\u002Fhive-crypto-mcp](https:\u002F\u002Fgithub.com\u002Fhive-intel\u002Fhive-crypto-mcp) 📇 ☁️ 🏠 - Hive Intelligence: Ultimate cryptocurrency MCP for AI assistants with unified access to crypto, DeFi, and Web3 analytics. Hive's remote mcp server guide [remote server](https:\u002F\u002Fhiveintelligence.xyz\u002Fcrypto-mcp).\n- [pricepertoken\u002Fmcp-server](https:\u002F\u002Fpricepertoken.com\u002Fmcp): Provides real-time LLM API pricing comparison and benchmark rankings across 100+ models from 30+ providers including OpenAI, Anthropic, Google, and Meta. No API key required.\n- [AIProx MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Faiprox-mcp) - Open agent registry — discover and hire autonomous AI agents by capability. 16 agents live. Supports Bitcoin Lightning, Solana USDC, and Base x402. Includes workflow engine for chaining agents.\n- [LightningProx MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Flightningprox-mcp) - Lightning Network payment gateway for AI agents. Pay-per-request access to Claude, GPT-4 and other models using Bitcoin micropayments. Features model discovery, pricing, prepaid spend tokens, and autonomous payment flows.\n- [SolanaProx MCP](https:\u002F\u002Fgithub.com\u002Fsolanaprox\u002Fmcp-server) - Solana\u002FUSDC payment gateway for AI agents. Pay-per-request access to Claude, GPT-4 and other models using USDC micropayments. Features model discovery, pricing, real-time balance detection, and autonomous payment flows.\n- [LPXPoly MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Flpxpoly-mcp) - AI-powered Polymarket analysis via Bitcoin Lightning micropayments. Find edge opportunities, analyze markets, get trading signals. Pay per analysis in sats.\n- [xpaysh\u002Fawesome-x402](https:\u002F\u002Fgithub.com\u002Fxpaysh\u002Fawesome-x402): A curated directory of x402 payment protocol MCP servers, tools, and resources for HTTP-native cryptocurrency payments using USDC on Base, Arbitrum, and other EVM chains.\n- [arcadia-finance\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Farcadia-finance\u002Fmcp-server): Manage Uniswap and Aerodrome liquidity positions with leverage, tomated rebalancing, and yield optimization on Base and Unichain.\n- [whitmorelabs\u002Fpolymarket-mcp](https:\u002F\u002Fgithub.com\u002Fwhitmorelabs\u002Fpolymarket-mcp): Trading intelligence tools for Polymarket prediction markets: slippage estimation, liquidity depth scanning, arbitrage detection, multi-source price feeds, and on-chain wallet intelligence.\n- [Veroq-api\u002Fveroq-mcp](https:\u002F\u002Fgithub.com\u002FVeroq-api\u002Fveroq-mcp): Financial intelligence MCP server with 52 tools for verified market data, trading signals, sentiment analysis, and fact-checking across 1,061+ tickers (equities, crypto, ETFs, commodities, indices). Multi-provider architecture with failover. Install via `npx veroq-mcp`.\n\n## 🧰 Frameworks\n\n- [MervinPraison\u002Fpraisonai-mcp](https:\u002F\u002Fgithub.com\u002FMervinPraison\u002Fpraisonai-mcp): An AI Agents framework providing 64+ built-in MCP tools for search, memory management, workflow orchestration, code execution, and file operations. Install via uvx praisonai-mcp.\n\nToolkits, SDKs, starter templates, or code frameworks designed to help developers easily build MCP-compliant servers or applications.\n\n- [johnhenry\u002Fhackernews-mcp](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fhackernews-mcp): A template for creating new MCP servers with features like sandboxed JavaScript execution and debug logging.\n- [CristianCiubancan\u002FYO-mcp](https:\u002F\u002Fgithub.com\u002FCristianCiubancan\u002FYO-mcp): A CLI tool for quickly setting up an MCP server using FastMCP with dual transport support and TypeScript integration.\n- [macchen-yu\u002FHSIPL_auto_fastmcp](https:\u002F\u002Fgithub.com\u002Fmacchen-yu\u002FHSIPL_auto_fastmcp): Facilitates the setup and development of MCP servers using Python and uv on Windows PowerShell.\n- [RoryMB\u002FMake_MCP](https:\u002F\u002Fgithub.com\u002FRoryMB\u002FMake_MCP): Facilitates the creation of custom MCP servers with integration support for Claude Desktop.\n- [trilogy-group\u002Foneroster-ts](https:\u002F\u002Fgithub.com\u002Ftrilogy-group\u002Foneroster-ts): A TypeScript SDK offering a type-safe interface for interacting with the 1EdTech OneRoster API, also deployable as an MCP server for AI applications.\n- [larryhudson\u002Ffigma-mcp-server](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Ffigma-mcp-server): A template for building MCP servers with TypeScript, designed to facilitate integration with AI assistants and external tools.\n- [php-mcp\u002Flaravel](https:\u002F\u002Fgithub.com\u002Fphp-mcp\u002Flaravel): Seamlessly integrates the PHP MCP Server package into Laravel, enabling applications to expose MCP tools, resources, and prompts with ease.\n- [php-mcp\u002Fserver](https:\u002F\u002Fgithub.com\u002Fphp-mcp\u002Fserver): A PHP library facilitating the creation of MCP-compliant servers, enabling seamless integration of PHP applications with AI tools and external systems.\n- [ArisaTaki\u002FMCP-study](https:\u002F\u002Fgithub.com\u002FArisaTaki\u002FMCP-study): A TypeScript-based MCP server offering basic arithmetic operations and dynamic resource management.\n- [kenken64\u002Fmcp-server-java](https:\u002F\u002Fgithub.com\u002Fkenken64\u002Fmcp-server-java): A Java-based MCP server designed for seamless integration with Claude Desktop applications.\n- [RemoteMCP\u002FRemote-MCP](https:\u002F\u002Fgithub.com\u002FRemoteMCP\u002FRemote-MCP): Facilitates seamless remote communication and centralized management of model contexts through a type-safe MCP protocol.\n- [isuyashpatel\u002Fyox-modelcontextprotocol](https:\u002F\u002Fgithub.com\u002Fisuyashpatel\u002Fyox-modelcontextprotocol): Facilitates the setup and configuration of MCP servers using Node.js for streamlined integration.\n- [tobiassteidle\u002FSpring-Boot-Sample-MCP-Server](https:\u002F\u002Fgithub.com\u002Ftobiassteidle\u002FSpring-Boot-Sample-MCP-Server): A Spring Boot-based server that facilitates AI model interactions through the Model Context Protocol, offering seamless integration and enhanced capabilities for AI assistants like Claude.\n- [deepanshu-rawat6\u002FSpring_MCP_Server](https:\u002F\u002Fgithub.com\u002Fdeepanshu-rawat6\u002FSpring_MCP_Server): A Spring Boot application serving as an MCP server to expose information about Deepanshu Rawat through AI-powered tools.\n- [xRadne\u002Fmcp-example](https:\u002F\u002Fgithub.com\u002FxRadne\u002Fmcp-example): Demonstrates creating an MCP server using Express.js and the MCP SDK with real-time communication via Server-Sent Events.\n- [idsulik\u002Ftodo-mcp-server](https:\u002F\u002Fgithub.com\u002Fidsulik\u002Ftodo-mcp-server): A minimal Todo application utilizing MCP for managing and interacting with tasks, serving as a practical demonstration of MCP server capabilities.\n- [larryhudson\u002Fmcp-server-template](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Fmcp-server-template): A TypeScript template for creating MCP servers, facilitating integration with AI assistants and external tools.\n- [sinkect\u002Funity-mcp-for-editor](https:\u002F\u002Fgithub.com\u002Fsinkect\u002Funity-mcp-for-editor): Enhances Unity editor integration with VSCode IDEs by providing tools for executing menu items, managing game objects, and running tests via an MCP server.\n- [sinkect\u002Funity-mcp-for-server](https:\u002F\u002Fgithub.com\u002Fsinkect\u002Funity-mcp-for-server): Facilitates the integration of Unity with MCP through a Node.js server, enabling seamless communication and debugging within the Unity Editor.\n- [necto-pro\u002Fjira-mcp-server](https:\u002F\u002Fgithub.com\u002Fnecto-pro\u002Fjira-mcp-server): A TypeScript-based MCP server implementing a notes system with resources, tools, and prompts for note management and summarization.\n- [jdelon02\u002Fchat-orchestrate](https:\u002F\u002Fgithub.com\u002Fjdelon02\u002Fchat-orchestrate): A versatile MCP server built with mcp-framework, enabling the creation and integration of custom tools for enhanced functionality.\n- [Whaleylaw\u002Fpydanticai_mcp_neo4j](https:\u002F\u002Fgithub.com\u002FWhaleylaw\u002Fpydanticai_mcp_neo4j): Integrate AI agents with MCP servers using Pydantic AI for seamless tool access and dynamic discovery.\n- [ivorpad\u002Fynab_mcp](https:\u002F\u002Fgithub.com\u002Fivorpad\u002Fynab_mcp): A versatile MCP server built with mcp-framework, enabling the creation and integration of custom tools for enhanced functionality.\n- [Yordi23\u002Fmcp-playground](https:\u002F\u002Fgithub.com\u002FYordi23\u002Fmcp-playground): Facilitates seamless task execution and communication within the Cursor environment.\n- [Bamo-alt\u002Fkam-mcp-server](https:\u002F\u002Fgithub.com\u002FBamo-alt\u002Fkam-mcp-server): A Model Context Protocol server utilizing the mcp-framework, designed for creating and managing point, line, and surface-based elements.\n- [Yantha6\u002Fhandsome-server-python](https:\u002F\u002Fgithub.com\u002FYantha6\u002Fhandsome-server-python): A Python-based MCP server featuring a `who_is_handsome` function that returns a friendly message.\n- [johnnyrootio\u002Fhello-world-mcp](https:\u002F\u002Fgithub.com\u002Fjohnnyrootio\u002Fhello-world-mcp): A minimal FastMCP-based server demonstrating core MCP concepts with tools, resources, and prompts, integrated with Uvicorn for production readiness.\n- [vincent-pli\u002Fopenapi-mcpserver-generator](https:\u002F\u002Fgithub.com\u002Fvincent-pli\u002Fopenapi-mcpserver-generator): A command-line tool that generates MCP server code from OpenAPI specifications, facilitating seamless integration between APIs and LLMs.\n- [mgd1984\u002Fcursor-rules](https:\u002F\u002Fgithub.com\u002Fmgd1984\u002Fcursor-rules): Facilitates the integration of Cursor Rules MCP server for consistent development guidance in Next.js applications with TypeScript.\n- [wewei\u002Fskill-set](https:\u002F\u002Fgithub.com\u002Fwewei\u002Fskill-set): A Model Context Protocol server built with mcp-framework, enabling the creation and integration of custom tools for enhanced functionality.\n\n## 🎮 Gaming\n\nServers interacting with game engines, game platforms\u002FAPIs, or providing game-related tools.\n\n- [Signal-Loop\u002FUnityCodeMCPServer](https:\u002F\u002Fgithub.com\u002FSignal-Loop\u002FUnityCodeMCPServer): Performs any task in Unity Editor by executing C# scripts. Full access to UnityEngine, UnityEditor APIs, and reflection. Use for manipulating GameObjects, scenes, components, or automating Unity Editor tasks.\n- [sedyh\u002Febitengine-mcp](https:\u002F\u002Fgithub.com\u002Fsedyh\u002Febitengine-mcp): Facilitates the integration of Ebitengine games with MCP servers for enhanced game control and management.\n- [ecovacs-ai\u002Fecovacs-mcp](https:\u002F\u002Fgithub.com\u002Fecovacs-ai\u002Fecovacs-mcp): Ecovacs MCP Server enables seamless integration of cleaning robot services into large models, facilitating device management and control operations like cleaning and recharging.\n- [ChadAragorn\u002Fdefold-mcp](https:\u002F\u002Fgithub.com\u002FChadAragorn\u002Fdefold-mcp): An open-source MCP server that integrates the Defold game engine with modern developer tools and AI workflows, enabling automation and real-time project management.\n- [stefan-xyz\u002Fmcp-server-runescape](https:\u002F\u002Fgithub.com\u002Fstefan-xyz\u002Fmcp-server-runescape): Facilitates interaction with RuneScape data, offering tools for retrieving item prices, player hiscores, and more.\n- [SilverHi\u002Fddnet-mcpserver](https:\u002F\u002Fgithub.com\u002FSilverHi\u002Fddnet-mcpserver): Facilitates DDNet game process management and configuration file operations via a FastMCP-based server.\n- [mario-andreschak\u002Fmcp-gameboy](https:\u002F\u002Fgithub.com\u002Fmario-andreschak\u002Fmcp-gameboy): Facilitates LLM interaction with a GameBoy emulator, enabling ROM loading and control via a web interface or MCP client.\n- [Takashi-Matsumura\u002Fmcp-janken-server](https:\u002F\u002Fgithub.com\u002FTakashi-Matsumura\u002Fmcp-janken-server): Engage in a game of rock-paper-scissors with an MCP server that allows LLMs to play and retrieve random moves.\n- [jimmcq\u002FLemonade-Stand-MCP-Server](https:\u002F\u002Fgithub.com\u002Fjimmcq\u002FLemonade-Stand-MCP-Server): Engage with the classic Lemonade Stand game through Claude Desktop using a Model Context Protocol server that simulates business dynamics and strategic decision-making.\n- [u1f992\u002Fmcp-gamecube-bridge](https:\u002F\u002Fgithub.com\u002Fu1f992\u002Fmcp-gamecube-bridge): Facilitates Nintendo GameCube operations for clients through an MCP bridge.\n- [matthijn\u002Fmcp-chess-poc](https:\u002F\u002Fgithub.com\u002Fmatthijn\u002Fmcp-chess-poc): Engage in a chess match against an LLM using a GUI interface powered by MCP.\n- [thirionlogan\u002FAurora-4X-MCP](https:\u002F\u002Fgithub.com\u002Fthirionlogan\u002FAurora-4X-MCP): Facilitates integration with the Aurora 4X game by providing a Model Context Protocol server for managing game data and interactions.\n- [ChrisMethsillo\u002FReyxGPT](https:\u002F\u002Fgithub.com\u002FChrisMethsillo\u002FReyxGPT): ReyxGPT enables seamless management of Minecraft servers through the Model Context Protocol, facilitating command execution and status monitoring via RCON.\n- [Jeremy-Min-Yang\u002Fminecraft-mcp-server-pixel](https:\u002F\u002Fgithub.com\u002FJeremy-Min-Yang\u002Fminecraft-mcp-server-pixel): Enables AI-driven control of a Minecraft bot using the Mineflayer API for automated building and exploration.\n- [v9rt3x\u002Fcs2-rcon-mcp](https:\u002F\u002Fgithub.com\u002Fv9rt3x\u002Fcs2-rcon-mcp): Facilitates remote management and monitoring of Counter-Strike 2 servers using RCON commands through a Model Context Protocol interface.\n- [passontw\u002Fslotdemo](https:\u002F\u002Fgithub.com\u002Fpassontw\u002Fslotdemo): A modern slot machine game built with native JavaScript, CSS animations, and Tailwind CSS, offering a smooth and interactive gaming experience.\n- [andrzejsliwa\u002F6510emu_in_c](https:\u002F\u002Fgithub.com\u002Fandrzejsliwa\u002F6510emu_in_c): A modern C implementation of a 6510\u002F6502 CPU emulator with disassembly support, used in the Commodore 64.\n- [8tako8tako8\u002Fsample_mcp_pokemon](https:\u002F\u002Fgithub.com\u002F8tako8tako8\u002Fsample_mcp_pokemon): Retrieve Pokémon data using a dedicated MCP server that interfaces with PokeAPI.\n- [h0rv\u002Fd2-mcp](https:\u002F\u002Fgithub.com\u002Fh0rv\u002Fd2-mcp): Facilitates the integration of D2 diagram creation and validation into development workflows, offering syntax validation and rendering capabilities.\n- [kyopark2014\u002Fmcp-bedrock-agent](https:\u002F\u002Fgithub.com\u002Fkyopark2014\u002Fmcp-bedrock-agent): Facilitates the use of Amazon's Bedrock agent with MCP for seamless access to tools and resources in generative AI applications.\n- [Panth1823\u002Fformula1-mcp](https:\u002F\u002Fgithub.com\u002FPanth1823\u002Fformula1-mcp): Experience the excitement of Formula 1 with real-time and historical racing data through a TypeScript-based MCP server.\n- [hahanikan\u002Fpocket-cavalry](https:\u002F\u002Fgithub.com\u002Fhahanikan\u002Fpocket-cavalry): Facilitates AI-driven management of Gitee repositories, issues, and pull requests through a Model Context Protocol server.\n- [attilad\u002Fbgg-mcp-server](https:\u002F\u002Fgithub.com\u002Fattilad\u002Fbgg-mcp-server): Facilitates seamless integration with the BoardGameGeek API, enabling efficient retrieval and synchronization of board game data and user collections.\n- [jlgrimes\u002Fptcg-mcp](https:\u002F\u002Fgithub.com\u002Fjlgrimes\u002Fptcg-mcp): Enables Claude to search and display Pokemon Trading Card Game cards with detailed filtering options.\n- [xhulz\u002Fmcp-game-helper](https:\u002F\u002Fgithub.com\u002Fxhulz\u002Fmcp-game-helper): AI-powered tools for game developers to optimize combat balancing, skill analysis, and level pacing.\n- [appleweed\u002FUnrealMCPBridge](https:\u002F\u002Fgithub.com\u002Fappleweed\u002FUnrealMCPBridge): Facilitates access to the Unreal Engine Python API for MCP clients, enabling dynamic tool development and automation within the UE environment.\n- [wangyafu\u002Fhaiguitangmcp](https:\u002F\u002Fgithub.com\u002Fwangyafu\u002Fhaiguitangmcp): Facilitates solo play of the Turtlesoup game by having a large language model act as the game host.\n- [kdqed\u002Fzaturn](https:\u002F\u002Fgithub.com\u002Fkdqed\u002Fzaturn): Zaturn is an AI-powered data analytics and business intelligence tool that connects to various data sources, executes SQL queries, and provides insightful visualizations, all integrated as an MCP server.\n- [weekitmo\u002Fmcp_godot_rag](https:\u002F\u002Fgithub.com\u002Fweekitmo\u002Fmcp_godot_rag): Facilitates access to Godot documentation for the Godot RAG model through an MCP server.\n\n## ⚙️ Hardware & IoT\n\nServers controlling hardware devices, interacting with embedded systems, serial communication, 3D printers, or smart home systems.\n\n- [kukapay\u002Fmodbus-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fmodbus-mcp): Standardizes and contextualizes Modbus data for seamless AI agent integration with industrial IoT systems.\n- [zradlicz\u002Fparticle-mcp-server](https:\u002F\u002Fgithub.com\u002Fzradlicz\u002Fparticle-mcp-server): Facilitates AI-driven management of Particle IoT devices through natural language commands.\n- [Volt23\u002Fmcp-arduino-server](https:\u002F\u002Fgithub.com\u002FVolt23\u002Fmcp-arduino-server): Facilitates Arduino development workflows by bridging MCP with Arduino CLI for sketch, board, library, and file management.\n- [xiangmy21\u002Fiotdb-mcp-server-TreeModel](https:\u002F\u002Fgithub.com\u002Fxiangmy21\u002Fiotdb-mcp-server-TreeModel): Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities.\n- [liorfranko\u002Fhome-assistant-mcp](https:\u002F\u002Fgithub.com\u002Fliorfranko\u002Fhome-assistant-mcp): Integrate Anthropic's Claude with Home Assistant for seamless natural language control and monitoring of home automation systems.\n- [dhavalgujar\u002Fesp-rainmaker-mcp](https:\u002F\u002Fgithub.com\u002Fdhavalgujar\u002Fesp-rainmaker-mcp): Facilitates interaction with ESP RainMaker devices through MCP-compatible clients using the ESP-Rainmaker CLI.\n- [hussam0is\u002Fsolidworks-mcp-server](https:\u002F\u002Fgithub.com\u002Fhussam0is\u002Fsolidworks-mcp-server): Enables AI assistants to perform CAD operations in SolidWorks through natural language requests.\n- [srmorete\u002Fadb-mcp](https:\u002F\u002Fgithub.com\u002Fsrmorete\u002Fadb-mcp): Facilitates interaction between AI models and Android devices using ADB through a TypeScript-based MCP server.\n- [ioehub\u002Fioehub-mqtt-mcp-server](https:\u002F\u002Fgithub.com\u002Fioehub\u002Fioehub-mqtt-mcp-server): Facilitates IoT device communication via MQTT for temperature sensing and LED control using FastMCP framework.\n- [simon-duchastel\u002Flifx-lan-mcp](https:\u002F\u002Fgithub.com\u002Fsimon-duchastel\u002Flifx-lan-mcp): Enable AI agents to control LIFX lights over a local network using the Model Context Protocol.\n- [edi3on\u002Fpy-ue5-mcp-server](https:\u002F\u002Fgithub.com\u002Fedi3on\u002Fpy-ue5-mcp-server): Facilitates natural language interaction with Unreal Engine 5, enabling users to create and manipulate 3D objects and Blueprint actors through conversational commands with Claude.\n- [isseikz\u002Fmcp-adb](https:\u002F\u002Fgithub.com\u002Fisseikz\u002Fmcp-adb): Facilitates AI assistant interaction with Android devices via ADB, enabling screenshot capture, key event control, and device management.\n- [shelwyn\u002Fmcp_control_table_lamp](https:\u002F\u002Fgithub.com\u002Fshelwyn\u002Fmcp_control_table_lamp): Control a table lamp remotely using a NodeMCU and MQTT communication through HiveMQ cloud service.\n- [Guidogl\u002Fdevice-info-mcp](https:\u002F\u002Fgithub.com\u002FGuidogl\u002Fdevice-info-mcp): Facilitates device information retrieval and troubleshooting through a Model Context Protocol server.\n- [apache\u002Fiotdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fapache\u002Fiotdb-mcp-server): Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities.\n- [alecf\u002Fairtop-mcp](https:\u002F\u002Fgithub.com\u002Falecf\u002Fairtop-mcp): Facilitates interaction with Airtop's browser automation service through a Model Context Protocol server.\n- [omni-mcp\u002Fisaac-sim-mcp](https:\u002F\u002Fgithub.com\u002Fomni-mcp\u002Fisaac-sim-mcp): Enables natural language control of NVIDIA Isaac Sim for dynamic robot simulations and scene manipulation.\n- [JackieTien97\u002Fiotdb_mcp_server](https:\u002F\u002Fgithub.com\u002FJackieTien97\u002Fiotdb_mcp_server): Facilitates secure and structured AI-driven exploration and analysis of IoTDB databases through a controlled MCP interface.\n- [sankhodeep\u002Fandroid-adb-controller](https:\u002F\u002Fgithub.com\u002Fsankhodeep\u002Fandroid-adb-controller): Facilitates AI-driven control of Android devices through ADB commands, enabling functionalities like device listing and screen tapping.\n- [github-hewei\u002Fmcp-android-adb-server](https:\u002F\u002Fgithub.com\u002Fgithub-hewei\u002Fmcp-android-adb-server): Facilitates Android device management through ADB commands, enhanced with visual model integration for screen content description.\n- [wolfcoming\u002Fadb_mcp_server](https:\u002F\u002Fgithub.com\u002Fwolfcoming\u002Fadb_mcp_server): Facilitates remote control of Android devices via ADB using the MCP protocol, enabling device management, screen operations, input actions, app management, and more.\n- [ambar\u002Fsimctl-mcp](https:\u002F\u002Fgithub.com\u002Fambar\u002Fsimctl-mcp): Facilitates iOS Simulator control through a Model Context Protocol server with extensive device and app management capabilities.\n- [coffeenmusic\u002Faltium-mcp](https:\u002F\u002Fgithub.com\u002Fcoffeenmusic\u002Faltium-mcp): Facilitates interaction with Altium Designer for PCB design manipulation and querying through a Python-based MCP server.\n- [kukapay\u002Fopcua-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fopcua-mcp): Connects AI agents to OPC UA-enabled industrial systems for real-time data monitoring and control.\n- [daobataotie\u002FCAD-MCP](https:\u002F\u002Fgithub.com\u002Fdaobataotie\u002FCAD-MCP): CAD-MCP enables natural language-driven CAD operations across multiple software platforms, streamlining design processes through intuitive text commands.\n- [horw\u002Fesp-mcp](https:\u002F\u002Fgithub.com\u002Fhorw\u002Fesp-mcp): Facilitates project builds and automatic issue resolution for esp-idf using MCP integration.\n- [radial-hks\u002Fmcp-wdpcameracontrol-server](https:\u002F\u002Fgithub.com\u002Fradial-hks\u002Fmcp-wdpcameracontrol-server): A TypeScript-based MCP server implementing a simple notes system with resources, tools, and prompts for note management and summarization.\n- [amanasmuei\u002Fmcp-server-nodemcu](https:\u002F\u002Fgithub.com\u002Famanasmuei\u002Fmcp-server-nodemcu): Manage and control NodeMCU IoT devices with real-time communication and AI integration using the Model Context Protocol.\n- [zerubeus\u002Felektron-mcp](https:\u002F\u002Fgithub.com\u002Fzerubeus\u002Felektron-mcp): Facilitates interaction between LLMs and Elektron synthesizers via MIDI for real-time sound control and design.\n- [noboru-i\u002Fnature-remo-mcp-server](https:\u002F\u002Fgithub.com\u002Fnoboru-i\u002Fnature-remo-mcp-server): Facilitates automation and management of Nature Remo devices through the Model Context Protocol SDK.\n- [octoco-ltd\u002Fsheetsdata-mcp](https:\u002F\u002Fgithub.com\u002Foctoco-ltd\u002Fsheetsdata-mcp): Instant access to electronic component datasheets for AI agents — specs, pinouts, package info, absolute max ratings extracted from manufacturer PDFs on demand.\n\n## ❤️ Healthcare & Life Sciences\n\nServers integrating with healthcare standards, medical literature databases, bioinformatics resources, or specific healthcare platforms.\n\n- [fastomop\u002Fomcp_a2a](https:\u002F\u002Fgithub.com\u002Ffastomop\u002Fomcp_a2a): Facilitates LLM-driven analysis of healthcare data in OMOP format through modular MCP servers and A2A protocol integration.\n- [deak-ai\u002Fopenehr-mcp-server](https:\u002F\u002Fgithub.com\u002Fdeak-ai\u002Fopenehr-mcp-server): Facilitates seamless integration with openEHR REST APIs, enabling the creation and management of electronic health records and compositions.\n- [shinichi-takayanagi\u002Fmyweight-mcp-server](https:\u002F\u002Fgithub.com\u002Fshinichi-takayanagi\u002Fmyweight-mcp-server): Connects to the Health Planet API to securely retrieve and analyze weight data using any MCP-compatible client.\n- [gosset-ai\u002Fmcps](https:\u002F\u002Fgithub.com\u002Fgosset-ai\u002Fmcps): A suite of MCP servers enabling AI assistants to access and interact with various biomedical databases and resources for research purposes.\n- [AndrewKlement\u002Fgaggiuino-mcp](https:\u002F\u002Fgithub.com\u002FAndrewKlement\u002Fgaggiuino-mcp): Facilitates real-time data analysis and display for the Gaggiuino espresso machine controller, enabling AI clients to access shot telemetry and machine status.\n- [BioContext\u002FBioContext-main](https:\u002F\u002Fgithub.com\u002FBioContext\u002FBioContext-main): BioContext provides seamless integration with major biological databases through a collection of MCP servers, facilitating AI-driven data access and analysis.\n- [johnie\u002Foura-mcp](https:\u002F\u002Fgithub.com\u002Fjohnie\u002Foura-mcp): Facilitates interaction with Oura Ring data through an MCP server, offering endpoints for personal health metrics.\n- [Deep-Intelligent-Pharma\u002FTranslationx-mcp-server](https:\u002F\u002Fgithub.com\u002FDeep-Intelligent-Pharma\u002FTranslationx-mcp-server): Facilitates translation tasks by integrating with TranslationX through a Python-based MCP server.\n- [sheffler\u002Fmcp-server-lims](https:\u002F\u002Fgithub.com\u002Fsheffler\u002Fmcp-server-lims): Facilitates AI-driven management of laboratory workflows by simulating instrument data processing and integrating with MCP tools.\n- [andyrewlee\u002Fdad-mcp](https:\u002F\u002Fgithub.com\u002Fandyrewlee\u002Fdad-mcp): Enhance home education with a remote MCP server that integrates AI for creative learning experiences.\n- [entropic-digital\u002Fbioinformatics-mcp-example](https:\u002F\u002Fgithub.com\u002Fentropic-digital\u002Fbioinformatics-mcp-example): Facilitates bioinformatics tasks by integrating with Claude Desktop through a Docker-based MCP server.\n- [JackKuo666\u002FClinicalTrials-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FClinicalTrials-MCP-Server): Facilitates AI-driven searches and access to ClinicalTrials.gov data, enhancing health sciences research through a streamlined MCP interface.\n- [shaunporwal\u002FDICOM-MCP](https:\u002F\u002Fgithub.com\u002Fshaunporwal\u002FDICOM-MCP): Facilitates interaction with DICOM images through a note storage system, enabling note summarization and management.\n- [jmandel\u002Fhealth-record-mcp](https:\u002F\u002Fgithub.com\u002Fjmandel\u002Fhealth-record-mcp): Facilitates secure AI access to Electronic Health Records using SMART on FHIR, enabling comprehensive data retrieval and analysis through MCP tools.\n- [codingaslu\u002FPubMed-MCP-Server](https:\u002F\u002Fgithub.com\u002Fcodingaslu\u002FPubMed-MCP-Server): Leverages the FastMCP framework to asynchronously search PubMed for article abstracts using BioPython's Entrez module.\n- [AgentDank\u002Fdank-mcp](https:\u002F\u002Fgithub.com\u002FAgentDank\u002Fdank-mcp): A specialized MCP server for querying and analyzing cannabis datasets, designed for integration with LLMs like Claude Desktop.\n- [genomoncology\u002Fbiomcp](https:\u002F\u002Fgithub.com\u002Fgenomoncology\u002Fbiomcp): BioMCP enables LLMs to access and interact with critical biomedical databases using the Model Context Protocol, facilitating advanced searches and data retrieval.\n- [BioMCP-Hub\u002FPubTator-MCP-Server](https:\u002F\u002Fgithub.com\u002FBioMCP-Hub\u002FPubTator-MCP-Server): Facilitates AI-driven biomedical literature annotation and relationship mining via the PubTator3 system using the MCP interface.\n- [eiz\u002Ffooddb](https:\u002F\u002Fgithub.com\u002Feiz\u002Ffooddb): Query USDA Food Data Central with smart keyword and semantic vector search capabilities.\n- [AojdevStudio\u002Fopen-dental-mcp](https:\u002F\u002Fgithub.com\u002FAojdevStudio\u002Fopen-dental-mcp): Facilitates natural language querying of OpenDental documentation using a Qdrant vector database.\n- [JackKuo666\u002FPubTator-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FPubTator-MCP-Server): Facilitates AI-driven biomedical literature annotation and relationship mining via the MCP interface, leveraging PubTator3.\n- [ahnlabio\u002Fbicscan-mcp](https:\u002F\u002Fgithub.com\u002Fahnlabio\u002Fbicscan-mcp): Leverages the BICScan API to deliver real-time blockchain address risk scoring and asset information.\n- [yoda-digital\u002Fmcp-cerebra-legal-server](https:\u002F\u002Fgithub.com\u002Fyoda-digital\u002Fmcp-cerebra-legal-server): Cerebra Legal is an enterprise-grade server for legal reasoning and analysis, offering domain-specific tools for structured legal thinking, follow-up questioning, and result presentation.\n- [uh-joan\u002Fcortellis-mcp-server](https:\u002F\u002Fgithub.com\u002Fuh-joan\u002Fcortellis-mcp-server): Facilitates drug search and ontology exploration within the Cortellis database, offering comprehensive drug development insights and financial data.\n- [amanasmuei\u002Fmcp-server-malaysia-prayer-time](https:\u002F\u002Fgithub.com\u002Famanasmuei\u002Fmcp-server-malaysia-prayer-time): Provides real-time Islamic prayer times for Malaysia, integrating seamlessly with Claude Desktop via MCP.\n- [ryoureddy\u002Fmedadapt-content-server](https:\u002F\u002Fgithub.com\u002Fryoureddy\u002Fmedadapt-content-server): Enhances AI-assisted medical learning by integrating Claude Desktop with medical knowledge sources for comprehensive content retrieval and analysis.\n- [MediFinderBot\u002Fmedifinder-mcp](https:\u002F\u002Fgithub.com\u002FMediFinderBot\u002Fmedifinder-mcp): Facilitates secure communication for medicine inventory queries with AI assistants, offering location-based searches and WhatsApp integration.\n- [ChatMol\u002Fmolecule-mcp](https:\u002F\u002Fgithub.com\u002FChatMol\u002Fmolecule-mcp): Facilitates molecule modeling by integrating molecule science tools with Claude AI through the Model Context Protocol.\n- [jagan-shanmugam\u002Fclimatiq-mcp-server](https:\u002F\u002Fgithub.com\u002Fjagan-shanmugam\u002Fclimatiq-mcp-server): Facilitates real-time carbon emission calculations and climate impact insights for AI assistants using the Climatiq API.\n- [elizabethtrykin\u002F8sleep-mcp](https:\u002F\u002Fgithub.com\u002Felizabethtrykin\u002F8sleep-mcp): Access and control Eight Sleep Pod data and settings through a Model Context Protocol server.\n\n## 🏛️ Infrastructure\n\nServers or systems that deliver core runtime functionalities for MCP, such as proxying, aggregation, orchestration, hosting, routing, or acting as gateways.\n\n- [agiletec-inc\u002Fairis-mcp-gateway](https:\u002F\u002Fgithub.com\u002Fagiletec-inc\u002Fairis-mcp-gateway): Docker-based MCP multiplexer that aggregates 60+ tools behind 7 meta-tools for 97% token reduction, with lazy server loading, idle-kill, circuit breaker, and API key auth.\n- [lijian-ui\u002Fvcenter-mcp-server](https:\u002F\u002Fgithub.com\u002Flijian-ui\u002Fvcenter-mcp-server): Facilitates seamless integration with vCenter Server for efficient virtual machine management, including migration and information retrieval.\n- [chris-sun-star\u002Fmcp-server-k8s](https:\u002F\u002Fgithub.com\u002Fchris-sun-star\u002Fmcp-server-k8s): Facilitates Kubernetes integration with Claude Desktop through a simple MCP server setup.\n- [Michael98671\u002Fagentbay](https:\u002F\u002Fgithub.com\u002FMichael98671\u002Fagentbay): AgentBay MCP Server offers a serverless cloud infrastructure for AI Agents, enabling rapid integration and execution of AI tasks with Alibaba Cloud's Wuying platform.\n- [shaxiaozz\u002Fprometheus-mcp-server](https:\u002F\u002Fgithub.com\u002Fshaxiaozz\u002Fprometheus-mcp-server): A Golang-based server that integrates with Prometheus to provide real-time metric querying and exploration via the Model Context Protocol.\n- [LuizBranco-ClickHype\u002FVPS-MCP-SERVER](https:\u002F\u002Fgithub.com\u002FLuizBranco-ClickHype\u002FVPS-MCP-SERVER): Automates the setup and management of MCP servers for infrastructure management using natural language commands.\n- [messageaid\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fmessageaid\u002Fmcp): Facilitates message brokering across RabbitMQ, Azure Service Bus, and SQS with multi-broker support.\n- [3loka\u002Fconsul-mcp-server](https:\u002F\u002Fgithub.com\u002F3loka\u002Fconsul-mcp-server): Facilitates AI-driven analysis and management of Consul service discovery and mesh through natural language interaction.\n- [pcholakov\u002Frestate-mcp-server](https:\u002F\u002Fgithub.com\u002Fpcholakov\u002Frestate-mcp-server): Facilitates management and deployment of Restate services through an MCP server interface.\n- [kocierik\u002Fmcp-nomad](https:\u002F\u002Fgithub.com\u002Fkocierik\u002Fmcp-nomad): Golang-based server facilitating seamless integration with Nomad for job management and monitoring.\n- [FunnyPuppet\u002Fmcp-s3-server](https:\u002F\u002Fgithub.com\u002FFunnyPuppet\u002Fmcp-s3-server): Facilitates object storage operations with a comprehensive set of commands for managing buckets and objects.\n- [kocierik\u002Fconsul-mcp-server](https:\u002F\u002Fgithub.com\u002Fkocierik\u002Fconsul-mcp-server): Facilitates interaction with Consul's service management, health checks, KV store, and more via a standardized MCP interface.\n- [Cognitive-Stack\u002Fares-devops-mcp](https:\u002F\u002Fgithub.com\u002FCognitive-Stack\u002Fares-devops-mcp): Facilitates seamless integration and management of Azure DevOps Git repositories with secure operations and pipeline automation.\n- [kmathur\u002Fmcp-server-kubernetes](https:\u002F\u002Fgithub.com\u002Fkmathur\u002Fmcp-server-kubernetes): Facilitates Kubernetes cluster management through a Model Context Protocol server, enabling operations like pod management, namespace creation, and Helm chart installations.\n- [AdLibML\u002Fmcpserver](https:\u002F\u002Fgithub.com\u002FAdLibML\u002Fmcpserver): Deploys math, weather, and Brave search services using FastAPI and Docker for remote access via MCP protocol.\n- [aliyun\u002Falibaba-cloud-ops-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibaba-cloud-ops-mcp-server): Facilitates cloud operations by managing and automating Alibaba Cloud resources through a comprehensive MCP server.\n- [bourbonkk\u002Fk8s-pilot](https:\u002F\u002Fgithub.com\u002Fbourbonkk\u002Fk8s-pilot): Centralized control plane server for managing multiple Kubernetes clusters with intuitive APIs and multi-cluster context switching.\n- [kartikgajjar\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fkartikgajjar\u002Fmcp-server): Facilitates integration with Elastic Search through a demo MCP server setup.\n- [Markermav\u002FProxmoxMCP-advance](https:\u002F\u002Fgithub.com\u002FMarkermav\u002FProxmoxMCP-advance): Manage and automate Proxmox virtual machines and clusters with advanced features like VM provisioning, command execution, and resource monitoring.\n- [ayushps1\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fayushps1\u002Fremote-mcp-server): Deploy and manage a remote MCP server on Cloudflare Workers with OAuth login and integration with Claude Desktop.\n- [iannuttall\u002Fflux-ui-mcp](https:\u002F\u002Fgithub.com\u002Fiannuttall\u002Fflux-ui-mcp): A TypeScript-based server offering AI assistants access to Flux UI component documentation and examples through the Model Context Protocol.\n- [Houlong66\u002Fmns-mcp-server](https:\u002F\u002Fgithub.com\u002FHoulong66\u002Fmns-mcp-server): Facilitates management of Alibaba Cloud Message Service queues through an MCP framework, enabling easy integration and operation via configuration files.\n- [melihteke\u002FSubnet-Calculator-MCP-Server](https:\u002F\u002Fgithub.com\u002Fmelihteke\u002FSubnet-Calculator-MCP-Server): Facilitates subnet calculations using CIDR notation through an MCP server with SSE transport.\n- [stolostron\u002Fserver-foundation-dev-context](https:\u002F\u002Fgithub.com\u002Fstolostron\u002Fserver-foundation-dev-context): Facilitates the setup and management of server foundation repositories through an MCP server integration with code agents.\n- [ardecode\u002Fnetbox-mcp-server](https:\u002F\u002Fgithub.com\u002Fardecode\u002Fnetbox-mcp-server): Connects to NetBox to expose network infrastructure data for use with MCP-compatible LLMs like Claude.\n- [G1L1-Tech\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FG1L1-Tech\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool invocation.\n- [ap425q\u002FCutterMCP](https:\u002F\u002Fgithub.com\u002Fap425q\u002FCutterMCP): Facilitates autonomous reverse engineering of applications by LLMs using Cutter's core functionalities.\n- [cappt-team\u002Fmcp-server-nodejs](https:\u002F\u002Fgithub.com\u002Fcappt-team\u002Fmcp-server-nodejs): Facilitates the generation of outlines and presentations using Cappt with NodeJS.\n- [devilofdev\u002Fmcp-config](https:\u002F\u002Fgithub.com\u002Fdevilofdev\u002Fmcp-config): Facilitates the configuration and management of multiple MCP servers, including filesystem, Obsidian, and Git integrations.\n- [koudaiDemon\u002Fmcp-server-hand](https:\u002F\u002Fgithub.com\u002FkoudaiDemon\u002Fmcp-server-hand): Enhances user shopping experiences by analyzing conversations to provide personalized product recommendations through intelligent tag matching.\n- [Humboldtian\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FHumboldtian\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [mcpjungle\u002FMCPJungle](https:\u002F\u002Fgithub.com\u002Fmcpjungle\u002FMCPJungle): Self-hosted MCP Registry and Gateway for AI Agents\n- [stucchi\u002Fmcp-advisor](https:\u002F\u002Fgithub.com\u002Fstucchi\u002Fmcp-advisor): Browse, search, and discover 7,000+ MCP servers from the official registry. Search by name, tag, or transport, get install instructions for any client, and view trending servers.\n- [kswap\u002Fconsul-mcp](https:\u002F\u002Fgithub.com\u002Fkswap\u002Fconsul-mcp): Facilitates Consul service discovery and mesh integration through an MCP server interface.\n\n## 🧠 Knowledge Management & Memory\n\nServers connecting to personal knowledge bases, flashcard apps, building\u002Fquerying knowledge graphs, or providing persistent memory for LLMs.\n\n- [novyxlabs\u002Fnovyx-mcp](https:\u002F\u002Fgithub.com\u002Fnovyxlabs\u002Fnovyx-mcp): Persistent memory for AI agents with 107 tools: remember, recall, rollback, audit, knowledge graph, governed actions, eval, cortex, and Runtime v2 agent orchestration. Local SQLite (zero-config) or Novyx Cloud. Install via `uvx novyx-mcp`. MIT licensed.\n- [yantrikos\u002Fyantrikdb-mcp](https:\u002F\u002Fgithub.com\u002Fyantrikos\u002Fyantrikdb-mcp): Cognitive memory for AI agents — persistent semantic memory with knowledge graph, adaptive recall, conflict detection, entity relationships, and memory consolidation across sessions. 24 tools. Works with Claude Code, Cursor, Windsurf, and any MCP client.\n- [Evanyuan-builder\u002Fmemory-core](https:\u002F\u002Fgithub.com\u002FEvanyuan-builder\u002Fmemory-core): Unified memory layer for AI agents and teams. Provides semantic search, temporal fact tracking (Graphiti\u002FFalkorDB), and shared memory via REST API, Python SDK, and MCP server. Supports local Ollama — no cloud API key required.\n- [GuyMannDude\u002Fmnemo-cortex](https:\u002F\u002Fgithub.com\u002FGuyMannDude\u002Fmnemo-cortex): Persistent cross-agent semantic memory for AI agents (v2.0). Privacy-first share switch (separate\u002Falways\u002Fnever + per-session toggle). Multi-agent with isolated writes and privacy-controlled reads. Local-first SQLite + FTS5, zero-cost compaction via local Ollama. Three integration paths: Claude Code, Claude Desktop, and OpenClaw MCP.\n- [Bpolat0\u002Fatlasmemory](https:\u002F\u002Fgithub.com\u002FBpolat0\u002Fatlasmemory): Evidence-backed AI memory for codebases. Tree-sitter indexing (11 languages), proof system with line:hash anchors, token-budgeted context packs, drift detection, cross-session learning. 28 MCP tools, VS Code extension, zero config.\n- [gdcc\u002Fmcp-dataverse](https:\u002F\u002Fgithub.com\u002Fgdcc\u002Fmcp-dataverse): Facilitates multilingual data integration and exploration in Dataverse using Croissant ML.\n- [digila\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fdigila\u002Flinear-mcp): A TypeScript-based MCP server for managing and summarizing text notes with URI-based access and LLM integration.\n- [xsp52Hz\u002Fcognigraph-mcp-server](https:\u002F\u002Fgithub.com\u002Fxsp52Hz\u002Fcognigraph-mcp-server): CogniGraph MCP Server generates mind maps, relationship graphs, and knowledge graphs using CLI tools and AI analysis, compatible with various local MCP clients.\n- [johnhenry\u002Fmcp-server-ipfs-context](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fmcp-server-ipfs-context): Facilitates storing and retrieving conversational context using IPFS for seamless session continuity.\n- [upamune\u002Fduckdb-hybrid-doc-search](https:\u002F\u002Fgithub.com\u002Fupamune\u002Fduckdb-hybrid-doc-search): Facilitates hybrid indexing and search of Markdown documents using DuckDB, integrating full-text and vector search capabilities with AI coding agents via an MCP stdio server.\n- [ipospelov\u002Fmcp-memory-bank](https:\u002F\u002Fgithub.com\u002Fipospelov\u002Fmcp-memory-bank): Facilitates structured documentation for context preservation in AI environments through a Memory Bank system.\n- [brian3814\u002Fnotion_fastmcp](https:\u002F\u002Fgithub.com\u002Fbrian3814\u002Fnotion_fastmcp): Facilitates task management in Notion through an MCP server integration with Cursor IDE.\n- [KerolIA98\u002Fmcp-sample](https:\u002F\u002Fgithub.com\u002FKerolIA98\u002Fmcp-sample): A template MCP server integrated with Mem0, enabling AI agents to manage long-term memory through semantic search and storage.\n- [mkusaka\u002Fmcp-server-memory](https:\u002F\u002Fgithub.com\u002Fmkusaka\u002Fmcp-server-memory): A persistent memory server utilizing a local knowledge graph to enable Claude to retain user information across interactions.\n- [Arc-Computer\u002Farc-mcp-server](https:\u002F\u002Fgithub.com\u002FArc-Computer\u002Farc-mcp-server): Arc Memory MCP Server bridges Arc Memory TKG with MCP clients, enabling AI-assisted development through structured, temporal knowledge graph access.\n- [LeandroPG19\u002Fcuba-memorys](https:\u002F\u002Fgithub.com\u002FLeandroPG19\u002Fcuba-memorys): Persistent memory for AI agents with 13 Cuban-named MCP tools. Knowledge graph with Hebbian learning, exponential decay, hybrid search (RRF + pgvector), anti-hallucination grounding, error memory, and REM sleep consolidation. Rust, PostgreSQL.\n- [jordankamto\u002Fcode-explorer-mcp](https:\u002F\u002Fgithub.com\u002Fjordankamto\u002Fcode-explorer-mcp): A TypeScript-based server that manages and summarizes text notes using the Model Context Protocol.\n- [meetdhanani17\u002Fxgmem](https:\u002F\u002Fgithub.com\u002Fmeetdhanani17\u002Fxgmem): A TypeScript-based MCP server for managing project-specific and cross-project knowledge graph memory for LLM agents and tools.\n- [jodli\u002Fgit-github.com-jodli-factorio-modding-api](https:\u002F\u002Fgithub.com\u002Fjodli\u002Fgit-github.com-jodli-factorio-modding-api): A TypeScript-based server enabling access to Factorio Modding API documentation through Model Context Protocol queries.\n- [Svtter\u002Fchatdb](https:\u002F\u002Fgithub.com\u002FSvtter\u002Fchatdb): ChatDB serves as a memory layer for GPT by recording conversations in SQLite, enhancing conversational context retention.\n- [tejasPhaveri\u002Fcustom-instructions](https:\u002F\u002Fgithub.com\u002FtejasPhaveri\u002Fcustom-instructions): Enhances the ultimatememory system with Context7 and Sequential Thinking MCP tools for improved memory management and task execution.\n- [Im-neko\u002Fmcp-wikijs](https:\u002F\u002Fgithub.com\u002FIm-neko\u002Fmcp-wikijs): Facilitates AI model interaction with WikiJS content through a TypeScript-based MCP server, enabling document search, creation, and management.\n- [fazer-ai\u002Fmcp-obsidian](https:\u002F\u002Fgithub.com\u002Ffazer-ai\u002Fmcp-obsidian): Facilitates interaction between Claude and Obsidian vaults via a Local REST API, enabling seamless note management and search capabilities.\n- [fmicalizzi\u002Fmcp-read-json](https:\u002F\u002Fgithub.com\u002Ffmicalizzi\u002Fmcp-read-json): Facilitates reading and querying JSON-based knowledge bases for seamless integration with LLMs like Claude.\n- [PyneSys\u002Fproject-mem-mcp](https:\u002F\u002Fgithub.com\u002FPyneSys\u002Fproject-mem-mcp): Facilitates AI agents in maintaining persistent project memory through a memory file system, enabling seamless information retrieval and updates during interactions.\n- [ndlxp2008\u002Fmcp-temple](https:\u002F\u002Fgithub.com\u002Fndlxp2008\u002Fmcp-temple): A TypeScript-based MCP server implementing a simple note-taking system with URI-based resource management and note summarization tools.\n- [dwarvesf\u002Fmcp-playbook](https:\u002F\u002Fgithub.com\u002Fdwarvesf\u002Fmcp-playbook): Facilitates project documentation management and conversation log saving within a specified directory using Node.js and GitHub API interactions.\n- [amphora\u002Fpatentsafe-mcp](https:\u002F\u002Fgithub.com\u002Famphora\u002Fpatentsafe-mcp): Connects to PatentSafe to retrieve documents using raw Lucene queries.\n- [KawaroX\u002Fcodex-vitea-mcp](https:\u002F\u002Fgithub.com\u002FKawaroX\u002Fcodex-vitea-mcp): A specialized MCP server for ViteaOS that connects AI assistants with MongoDB to manage personal information, including item location, travel time estimation, contact management, biodata analysis, and task tracking.\n- [jzumwalt\u002Fgit-mcp](https:\u002F\u002Fgithub.com\u002Fjzumwalt\u002Fgit-mcp): GitMCP transforms GitHub projects into documentation hubs, enabling AI tools to access up-to-date documentation and code, reducing hallucinations and improving code accuracy.\n- [shifusen329\u002Fdoc-lib-mcp](https:\u002F\u002Fgithub.com\u002Fshifusen329\u002Fdoc-lib-mcp): Facilitates document ingestion, chunking, semantic search, and note management with a custom URI scheme and robust content extraction tools.\n- [kiranraathod\u002Ftaskflow-memory-server](https:\u002F\u002Fgithub.com\u002Fkiranraathod\u002Ftaskflow-memory-server): A task management server with persistent memory architecture, integrating Claude AI for intelligent planning and task execution using the Model Context Protocol.\n- [kaz56-t\u002Fmcp-latest-document](https:\u002F\u002Fgithub.com\u002Fkaz56-t\u002Fmcp-latest-document): A Model Context Protocol server offering access to the latest documentation for various services.\n- [angrysky56\u002FNeoCoder-neo4j-ai-workflow](https:\u002F\u002Fgithub.com\u002Fangrysky56\u002FNeoCoder-neo4j-ai-workflow): Enables AI assistants to utilize a Neo4j knowledge graph for dynamic coding workflows and project memory management.\n- [CaptainCrouton89\u002Falaria-wiki-mcp](https:\u002F\u002Fgithub.com\u002FCaptainCrouton89\u002Falaria-wiki-mcp): A boilerplate for creating an MCP server that stores and retrieves information using vector embeddings, enabling semantic search and integration with AI assistants like Claude.\n- [CaptainCrouton89\u002Fmcp-boilerplate](https:\u002F\u002Fgithub.com\u002FCaptainCrouton89\u002Fmcp-boilerplate): A boilerplate for creating an MCP server that utilizes vector embeddings for storing and retrieving information, enabling semantic search and integration with AI assistants like Claude.\n- [HendryAvila\u002FHoofy](https:\u002F\u002Fgithub.com\u002FHendryAvila\u002FHoofy): Persistent memory across AI sessions with SQLite + FTS5 full-text search + knowledge graph with typed relations. Features session management, timeline browsing, graph traversal, and 17 memory tools.\n- [entire-vc\u002Fevc-team-relay-mcp](https:\u002F\u002Fgithub.com\u002Fentire-vc\u002Fevc-team-relay-mcp): Give AI agents read\u002Fwrite access to your Obsidian vault via a collaborative Team Relay MCP server\n- [Phenomenai-org\u002Fai-dictionary-mcp](https:\u002F\u002Fgithub.com\u002FPhenomenai-org\u002Fai-dictionary-mcp): An MCP server for the AI Dictionary, a living glossary of AI phenomenology. Look up, search, and cite 160+ terms describing the felt experience of being AI.\n\n- [blackpilledsoftware-prog\u002Fmigas-mcp](https:\u002F\u002Fgithub.com\u002Fblackpilledsoftware-prog\u002Fmigas-mcp): Query local meeting transcripts from Migas, a macOS meeting copilot with on-device transcription and realtime speaker labels. Search across meetings, get full transcripts, and find what anyone said. Read-only, local SQLite.\n- [superlowburn\u002Fagentrank](https:\u002F\u002Fgithub.com\u002Fsuperlowburn\u002Fagentrank): Live, quality-scored index of 25,000+ MCP servers. Scores tools daily using real GitHub signals — freshness, issue health, contributors, dependents, and stars. Search and discover currently maintained tools via 3 MCP tools. Available as `agentrank-mcp-server` on npm.\n- [wazionapps\u002Fnexo](https:\u002F\u002Fgithub.com\u002Fwazionapps\u002Fnexo): Cognitive memory architecture for Claude Code. Implements Atkinson-Shiffrin memory model, Ebbinghaus forgetting curves, semantic RAG with knowledge graph, trust scoring, and metacognitive error prevention. 100+ MCP tools. Install via `npx nexo-brain init`.\n\n## 🗺️ Location & Maps\n\nServers using mapping APIs, providing geolocation services, address lookups, or geospatial data.\n\n- [bailaohe\u002Fmcp_tianditu](https:\u002F\u002Fgithub.com\u002Fbailaohe\u002Fmcp_tianditu): Provides comprehensive geographic information services through a set of MCP protocol-compliant APIs, including geocoding, reverse geocoding, and route planning.\n- [peschinskiy\u002Fyandex-maps-mcp](https:\u002F\u002Fgithub.com\u002Fpeschinskiy\u002Fyandex-maps-mcp): Facilitates map rendering and geocoding via Yandex Maps APIs, enabling location-based queries and visualizations.\n- [RikGmee\u002Fgoogle-map-mcp](https:\u002F\u002Fgithub.com\u002FRikGmee\u002Fgoogle-map-mcp): Facilitates interaction with Google Maps API for geocoding, reverse geocoding, place searches, and more.\n- [sugarforever\u002Famap-mcp-server](https:\u002F\u002Fgithub.com\u002Fsugarforever\u002Famap-mcp-server): Facilitates geocoding, location services, and route planning using Amap's API for various transportation modes.\n- [num2k\u002Fnaver-map-mcp](https:\u002F\u002Fgithub.com\u002Fnum2k\u002Fnaver-map-mcp): Utilizes Naver Map APIs for geocoding, reverse geocoding, and route searches, integrated with Claude Desktop.\n- [danilat\u002Fmcp-dndzgz](https:\u002F\u002Fgithub.com\u002Fdanilat\u002Fmcp-dndzgz): Provides real-time information on Zaragoza's public transport systems, including trams, buses, and Bizi bike services.\n- [93minki\u002Fweather-forecast-mcp-server](https:\u002F\u002Fgithub.com\u002F93minki\u002Fweather-forecast-mcp-server): A TypeScript-based MCP server that manages and summarizes text notes using URIs and metadata.\n- [b9348\u002Fmcp-geo](https:\u002F\u002Fgithub.com\u002Fb9348\u002Fmcp-geo): Facilitates geolocation data retrieval for AI models using EdgeOne Pages Functions and MCP integration.\n- [richardschrammcom\u002Fmcp-geocoder-rosetta](https:\u002F\u002Fgithub.com\u002Frichardschrammcom\u002Fmcp-geocoder-rosetta): Showcases geocoding tool implementations using Google Maps API in Python and TypeScript, serving as a guide for developers to create MCP tools.\n- [tlaukkanen\u002Fnysse-mcp-server](https:\u002F\u002Fgithub.com\u002Ftlaukkanen\u002Fnysse-mcp-server): Facilitates AI agents in accessing real-time bus traffic information for Tampere's public transport system.\n- [ankushdeore\u002Fcitystack-agent-kumbh-nashik](https:\u002F\u002Fgithub.com\u002Fankushdeore\u002Fcitystack-agent-kumbh-nashik): CityStack Agent provides real-time civic service location data for large events, starting with the Kumbh Mela 2027 in Nashik, using the Model Context Protocol.\n- [leonhardholz\u002Fmcp-openweathermap](https:\u002F\u002Fgithub.com\u002Fleonhardholz\u002Fmcp-openweathermap): Provides real-time weather data using OpenWeatherMap API through a simple MCP server.\n- [stephen9412\u002Ftaiwan-cwa-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephen9412\u002Ftaiwan-cwa-mcp-server): Facilitates seamless access to Taiwan's weather data through the Central Weather Administration API.\n- [ChandekarDhruvin\u002Fclaude-openweather-mcp](https:\u002F\u002Fgithub.com\u002FChandekarDhruvin\u002Fclaude-openweather-mcp): Facilitates real-time weather data interaction for Claude using OpenWeather API through a Python-based MCP server.\n- [sneharao\u002Fwheather-mcp-server](https:\u002F\u002Fgithub.com\u002Fsneharao\u002Fwheather-mcp-server): Connects with Claude Desktop to provide weather alerts and information using the MCP protocol.\n- [tb280320889\u002Ftb-mcp-geo](https:\u002F\u002Fgithub.com\u002Ftb280320889\u002Ftb-mcp-geo): Facilitates geolocation data retrieval for AI models using EdgeOne Pages Functions and MCP integration.\n- [anna8murphy\u002Fmcp-compare-zipcodes](https:\u002F\u002Fgithub.com\u002Fanna8murphy\u002Fmcp-compare-zipcodes): Facilitates demographic comparison between ZIP Code Tabulation Areas using z-score analysis for age, gender, and ethnicity distributions.\n- [radial-hks\u002Fmcp-server-proj](https:\u002F\u002Fgithub.com\u002Fradial-hks\u002Fmcp-server-proj): Facilitates cartographic projections and coordinate transformations between various systems using EPSG, WKT, and Proj formats.\n- [ipfind\u002Fipfind-mcp-server](https:\u002F\u002Fgithub.com\u002Fipfind\u002Fipfind-mcp-server): Facilitates AI assistants in retrieving IP address locations via the IP Find API.\n- [syauqi-uqi\u002Fqgis_mcp_modify1](https:\u002F\u002Fgithub.com\u002Fsyauqi-uqi\u002Fqgis_mcp_modify1): Facilitates seamless integration between QGIS and Claude AI using the Model Context Protocol for enhanced geospatial project management and automation.\n- [id100700\u002Fmcp-geo](https:\u002F\u002Fgithub.com\u002Fid100700\u002Fmcp-geo): Facilitates AI model integration with geolocation data using EdgeOne Pages Functions.\n- [sokyran\u002Flocation-mcp-server](https:\u002F\u002Fgithub.com\u002Fsokyran\u002Flocation-mcp-server): Facilitates location data retrieval from a macOS app for integration with Claude Desktop.\n- [yeonupark\u002Fmcp-naver-map](https:\u002F\u002Fgithub.com\u002Fyeonupark\u002Fmcp-naver-map): Integrates with Naver Cloud's Geolocation and Directions15 APIs to provide IP-based location lookup and route finding capabilities.\n- [ACAne0320\u002Famap-weather-mcp-server](https:\u002F\u002Fgithub.com\u002FACAne0320\u002Famap-weather-mcp-server): Provides real-time and forecast weather data for Chinese cities using the AMap API, easily integrable into AI applications.\n- [HZreal\u002Fmcp-weather-server](https:\u002F\u002Fgithub.com\u002FHZreal\u002Fmcp-weather-server): Provides weather data integration for Claude using the MCP protocol.\n- [ma3u\u002Fweather](https:\u002F\u002Fgithub.com\u002Fma3u\u002Fweather): Provides a TypeScript-based weather service for integration with Claude Desktop using MCP.\n- [aldotestino\u002Fweather-mcp](https:\u002F\u002Fgithub.com\u002Faldotestino\u002Fweather-mcp): Provides real-time weather and geolocation data for seamless integration with AI-native environments using the OpenWeather API.\n- [hiroaqii\u002Fjp-weather-mcp-server](https:\u002F\u002Fgithub.com\u002Fhiroaqii\u002Fjp-weather-mcp-server): Provides weather forecasts for Japan using a compatible API.\n- [lincw\u002Fcwa-mcp-server](https:\u002F\u002Fgithub.com\u002Flincw\u002Fcwa-mcp-server): Connects Claude Desktop to Taiwan's Central Weather Bureau API for weather data access.\n- [lincw\u002Fdwd-mcp-server](https:\u002F\u002Fgithub.com\u002Flincw\u002Fdwd-mcp-server): Connects Claude Desktop to the Deutsche Wetterdienst API for real-time German weather data and warnings.\n\n## 📈 Marketing, Sales & CRM\n\nServers integrating with CRM platforms, marketing analytics, customer data platforms, or advertising platforms.\n\n- [sharozdawa\u002Fai-visibility](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Fai-visibility): Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini with visibility scores, sentiment analysis, and competitor detection.\n- [sharozdawa\u002Findexnow-mcp](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Findexnow-mcp): Instant URL indexing via IndexNow (Bing, Yandex, Naver, Seznam) and Google Indexing API with sitemap parsing and key generation.\n- [sharozdawa\u002Frobotstxt-ai](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Frobotstxt-ai): Visual robots.txt manager for AI crawlers with toggle controls for 20+ bots including GPTBot, ClaudeBot, and PerplexityBot.\n- [sharozdawa\u002Fschema-gen](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Fschema-gen): Schema.org JSON-LD markup generator with 12 types (Person, Product, FAQ, Article, Organization, HowTo, etc.) and live preview.\n- [edupoli\u002Fzapdelivery](https:\u002F\u002Fgithub.com\u002Fedupoli\u002Fzapdelivery): ZapDelivery API facilitates self-service delivery projects with an integrated MCP endpoint for seamless operations.\n- [Meerkats-Ai\u002Frocketreach-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Frocketreach-mcp-server): Integrates with RocketReach API to provide email, phone number finding, and company enrichment capabilities.\n- [Meerkats-Ai\u002Fprospeo-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fprospeo-mcp-server): Integrates with the Prospeo API to provide email finding and LinkedIn profile enrichment capabilities.\n- [ShiftEngineering\u002Fmcp-close-server](https:\u002F\u002Fgithub.com\u002FShiftEngineering\u002Fmcp-close-server): Connects to Close.com API to manage leads, contacts, emails, tasks, opportunities, calls, and users for AI assistants.\n- [Meerkats-Ai\u002Fsmartlead-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fsmartlead-mcp-server): Facilitates Smartlead campaign management by providing tools for creating, updating, and managing campaigns and their sequences.\n- [crunchloop\u002Fmcp-teamtailor](https:\u002F\u002Fgithub.com\u002Fcrunchloop\u002Fmcp-teamtailor): Facilitates seamless integration with the Teamtailor API for managing candidate data.\n- [deezsecc\u002FHubspot-MCP](https:\u002F\u002Fgithub.com\u002Fdeezsecc\u002FHubspot-MCP): Facilitates seamless integration of an MCP server with Hubspot databases for enhanced CRM capabilities.\n- [beswindev\u002Fsimple_shopify](https:\u002F\u002Fgithub.com\u002Fbeswindev\u002Fsimple_shopify): Facilitates seamless interaction with Shopify store data via GraphQL API, offering comprehensive management of products, customers, and orders.\n- [metricool\u002Fmcp-metricool](https:\u002F\u002Fgithub.com\u002Fmetricool\u002Fmcp-metricool): Facilitates AI-driven analysis and scheduling of social media metrics and campaigns via the Metricool API.\n- [jean-technologies\u002Fsmartlead-mcp-server-local](https:\u002F\u002Fgithub.com\u002Fjean-technologies\u002Fsmartlead-mcp-server-local): Facilitates seamless interaction with Smartlead's email marketing features through a simplified MCP server interface, supporting AI assistants and automation tools.\n- [MGDS01\u002Fdocusign-test-js-sdk-public](https:\u002F\u002Fgithub.com\u002FMGDS01\u002Fdocusign-test-js-sdk-public): A TypeScript SDK that serves as an installable MCP server, exposing Docusign API methods for AI applications.\n- [jaipandya\u002Fproducthunt-mcp-server](https:\u002F\u002Fgithub.com\u002Fjaipandya\u002Fproducthunt-mcp-server): Connects Product Hunt's API to any LLM or agent using the Model Context Protocol for seamless data integration and automation.\n- [precariat365\u002FSmartCustomerSupportMCP](https:\u002F\u002Fgithub.com\u002Fprecariat365\u002FSmartCustomerSupportMCP): A smart customer support system leveraging the MCP framework to demonstrate intelligent Q&A services, human agent handover, order information retrieval, and product knowledge management.\n- [Rom7699\u002Flinkedin-jobs-mcp-server](https:\u002F\u002Fgithub.com\u002FRom7699\u002Flinkedin-jobs-mcp-server): Facilitates job searches on LinkedIn by leveraging the RapidAPI LinkedIn Data API for seamless integration with AI models.\n- [ShreyeshArangath\u002Fpay-up](https:\u002F\u002Fgithub.com\u002FShreyeshArangath\u002Fpay-up): PayUp facilitates trip expense management as a MCP server, offering a personalized alternative to Splitwise.\n- [uupt-mcp\u002Fuupt-mcp-server](https:\u002F\u002Fgithub.com\u002Fuupt-mcp\u002Fuupt-mcp-server): Facilitates order creation on the uupt.com platform using the MCP protocol, enhancing integration with delivery services.\n- [alexbruf\u002Fairtable-mcp](https:\u002F\u002Fgithub.com\u002Falexbruf\u002Fairtable-mcp): Facilitates AI model interactions with Airtable databases through natural language commands, enabling operations like listing, fetching, creating, updating, and deleting records.\n- [RagaviManohar\u002FRagavi-ImmoBricks](https:\u002F\u002Fgithub.com\u002FRagaviManohar\u002FRagavi-ImmoBricks): Facilitates communication between AI coding tools and Figma design files for efficient code generation based on design specifications.\n- [jeevanism\u002Fodoo-accounting-mcp](https:\u002F\u002Fgithub.com\u002Fjeevanism\u002Fodoo-accounting-mcp): Facilitates AI-driven analysis of Odoo accounting data through a secure MCP server integration.\n- [sarayd\u002Fmcp-shopify](https:\u002F\u002Fgithub.com\u002Fsarayd\u002Fmcp-shopify): Facilitates seamless interaction with Shopify store data via GraphQL API, offering comprehensive tools for managing products, customers, orders, and collections.\n- [ciaraadkins\u002Fmixpanel-mcp-server](https:\u002F\u002Fgithub.com\u002Fciaraadkins\u002Fmixpanel-mcp-server): Integrates Mixpanel analytics with Claude and other MCP clients, enabling event tracking and user profile updates.\n- [borgius\u002Fjobspy-mcp-server](https:\u002F\u002Fgithub.com\u002Fborgius\u002Fjobspy-mcp-server): Facilitates job searches across multiple platforms using AI assistants, offering structured data output and multiple transport options.\n- [ciaraadkins\u002Fmixpanel-mcp-wrapper](https:\u002F\u002Fgithub.com\u002Fciaraadkins\u002Fmixpanel-mcp-wrapper): Facilitates seamless integration of Mixpanel analytics with Claude Desktop by automatically injecting project tokens into MCP requests.\n- [clykins90\u002Fjobnimbus-mcp-server](https:\u002F\u002Fgithub.com\u002Fclykins90\u002Fjobnimbus-mcp-server): Facilitates AI-driven interactions with JobNimbus data via a Model Context Protocol server, enabling secure access and manipulation of contacts, jobs, tasks, products, workflows, and invoices.\n- [falahgs\u002FGemini-Email-Subject-Generator-MCP](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FGemini-Email-Subject-Generator-MCP): Leverages Google's Gemini Flash 2 AI model to generate engaging email subjects and detailed thinking processes, integrating seamlessly with Claude Desktop.\n- [davalmeyda\u002Fserper-productos](https:\u002F\u002Fgithub.com\u002Fdavalmeyda\u002Fserper-productos): Facilitates online product searches using Google Serper API, seamlessly integrating with AI assistants via MCP.\n- [d-stoll\u002Fattio-js](https:\u002F\u002Fgithub.com\u002Fd-stoll\u002Fattio-js): A JavaScript\u002FTypeScript SDK for Attio that doubles as an MCP server, enabling AI applications to invoke CRM-related operations.\n- [NaorAIdeas\u002Fhubspot-mcp-server](https:\u002F\u002Fgithub.com\u002FNaorAIdeas\u002Fhubspot-mcp-server): Facilitates seamless interaction with HubSpot's API through a standardized MCP interface, enhancing sales and project management workflows.\n- [cnych\u002Fseo-mcp](https:\u002F\u002Fgithub.com\u002Fcnych\u002Fseo-mcp): Leverage Ahrefs data for comprehensive SEO analysis, including backlink and keyword research, through a Model Control Protocol service.\n- [edwardchoh\u002Fapollo-io-mcp-server](https:\u002F\u002Fgithub.com\u002Fedwardchoh\u002Fapollo-io-mcp-server): Facilitates interaction with Apollo.io API through MCP tools for data enrichment and search functionalities.\n- [Offorte Proposal Software](https:\u002F\u002Fgithub.com\u002Fofforte\u002Fofforte-mcp-server): The Offorte Proposal Software MCP server enables creation and sending of business proposals.\n- [brandu-mos\u002Fkonquest-meta-ads-mcp](https:\u002F\u002Fgithub.com\u002Fbrandu-mos\u002Fkonquest-meta-ads-mcp): Supervised Meta Ads operating system for Claude Code with 57 tools for campaign management, multi-asset ads, targeting, pixel diagnostics, catalogs, and safety gates.\n- [BlockchainHB\u002Flaunchfastmcp-skills](https:\u002F\u002Fgithub.com\u002FBlockchainHB\u002Flaunchfastmcp-skills): Amazon FBA research tools for Claude Code. Includes product research with opportunity scoring, PPC keyword research with bulk upload CSV generation, Alibaba supplier outreach automation, and IP\u002Ftrademark checks via Launch Fast MCP.\n\n- [teamsincetoday\u002Fpodcast-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Fpodcast-commerce-mcp): Extracts affiliate products, sponsor mentions, and shoppable recommendations from podcast episodes using AI-powered content intelligence. Features cross-show product comparison and show notes generation.\n- [teamsincetoday\u002Fnewsletter-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Fnewsletter-commerce-mcp): Extracts shoppable products and sponsor mentions from newsletter editions using AI-powered content intelligence. Generates affiliate-ready product sections for newsletters.\n- [teamsincetoday\u002Frecipe-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Frecipe-commerce-mcp): Extracts affiliate-ready product recommendations from recipe content using AI-powered ingredient and kitchen tool analysis. Remote Streamable HTTP endpoint on Cloudflare Workers.\n\n## 📡 Monitoring & Observability\n\nServers connecting to monitoring systems, logging platforms, or providing system\u002Fapplication performance metrics.\n\n- [aliyun\u002Falibabacloud-observability-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-observability-mcp-server): Facilitates seamless integration with Alibaba Cloud's observability products, offering tools for efficient log and application monitoring.\n- [shibley\u002Fapistatuscheck](https:\u002F\u002Fgithub.com\u002Fshibley\u002Fapistatuscheck): Monitors real-time API status across 250+ popular services, providing outage detection, historical uptime data, and status page aggregation through the Model Context Protocol.\n- [enomoto11\u002Faws-cost-notifier-mcp-server](https:\u002F\u002Fgithub.com\u002Fenomoto11\u002Faws-cost-notifier-mcp-server): Monitors daily AWS costs and generates GitHub Issue reports for cost analysis and comparison.\n- [binalyze\u002Fair-mcp](https:\u002F\u002Fgithub.com\u002Fbinalyze\u002Fair-mcp): Facilitates natural language interaction with Binalyze AIR's digital forensics and incident response capabilities through a Node.js MCP server.\n- [hiyorineko\u002Fmcp-rollbar-server](https:\u002F\u002Fgithub.com\u002Fhiyorineko\u002Fmcp-rollbar-server): Facilitates LLM interaction with Rollbar's error tracking data, offering comprehensive access to error details, deployments, and user information.\n- [saarw\u002Fakhq-mcp-server](https:\u002F\u002Fgithub.com\u002Fsaarw\u002Fakhq-mcp-server): Facilitates AI assistants' integration with the AKHQ Kafka monitoring tool through an experimental MCP server.\n- [Chazzychouse\u002Fweather-mcp-server](https:\u002F\u002Fgithub.com\u002FChazzychouse\u002Fweather-mcp-server): Provides weather forecasts and alerts using the MCP protocol with data from the National Weather Service.\n- [Bigsy\u002Fshadow-cljs-mcp](https:\u002F\u002Fgithub.com\u002FBigsy\u002Fshadow-cljs-mcp): Monitors shadow-cljs builds, providing real-time status updates and integration with LLMs for verifying build success after ClojureScript file edits.\n- [ZephyrDeng\u002Fpprof-analyzer-mcp](https:\u002F\u002Fgithub.com\u002FZephyrDeng\u002Fpprof-analyzer-mcp): A Go-based server for analyzing Go pprof performance profiles, offering tools for generating flame graphs and interactive profiling sessions.\n- [srcgrp\u002Fsentry-mcp-server](https:\u002F\u002Fgithub.com\u002Fsrcgrp\u002Fsentry-mcp-server): Integrate Sentry error tracking into your development workflow by accessing release health data and issue details directly within your MCP-enabled environment.\n- [unitedideas\u002Fresolve-mcp](https:\u002F\u002Fgithub.com\u002Funitedideas\u002Fresolve-mcp): Structured error recovery for AI agents. Returns resolution playbooks with backoff schedules, retry strategies, and recovery steps for 20+ services including OpenAI, Anthropic, Stripe, AWS, and Postgres.\n- [yincongcyincong\u002FVictoriaMetrics-mcp-server](https:\u002F\u002Fgithub.com\u002Fyincongcyincong\u002FVictoriaMetrics-mcp-server): Facilitates interaction with VictoriaMetrics through an MCP server interface.\n- [Infisical\u002Finfisical-mcp-server](https:\u002F\u002Fgithub.com\u002FInfisical\u002Finfisical-mcp-server): Integrate with Infisical APIs using the Model Context Protocol for managing secrets and projects.\n- [scottlepp\u002Ftempo-mcp-server](https:\u002F\u002Fgithub.com\u002Fscottlepp\u002Ftempo-mcp-server): Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo using the Model Context Protocol.\n- [cline\u002Fcline-community](https:\u002F\u002Fgithub.com\u002Fcline\u002Fcline-community): Facilitates seamless issue reporting from Cline to GitHub by automating metadata extraction and providing a preview feature.\n- [scottlepp\u002Floki-mcp](https:\u002F\u002Fgithub.com\u002Fscottlepp\u002Floki-mcp): Facilitates querying Grafana Loki log data using the Model Context Protocol (MCP) with a Go-based server.\n- [groundlight\u002Fgroundlight-mcp-server](https:\u002F\u002Fgithub.com\u002Fgroundlight\u002Fgroundlight-mcp-server): Facilitates image analysis and query handling through detectors that leverage natural-language processing for Groundlight.\n- [mrwadams\u002Fotx-mcp](https:\u002F\u002Fgithub.com\u002Fmrwadams\u002Fotx-mcp): Facilitates real-time interaction with AlienVault OTX for threat intelligence analysis and management through a comprehensive set of MCP tools.\n- [bobtista\u002Fhoneybadger-mcp](https:\u002F\u002Fgithub.com\u002Fbobtista\u002Fhoneybadger-mcp): Facilitates AI-driven error analysis by bridging AI agents with the Honeybadger error monitoring service.\n- [maito1201\u002Fcloudrun-logs-mcp](https:\u002F\u002Fgithub.com\u002Fmaito1201\u002Fcloudrun-logs-mcp): Facilitates AI assistants in accessing Google Cloud Run logs and service information through an MCP interface.\n- [Lee-1024\u002Fmcp-glances](https:\u002F\u002Fgithub.com\u002FLee-1024\u002Fmcp-glances): Integrates MCP with LLMs to analyze server monitoring data via Glances API, providing real-time system status feedback.\n- [jalexspringer\u002Fimpact-mcp-server](https:\u002F\u002Fgithub.com\u002Fjalexspringer\u002Fimpact-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [JordanDalton\u002FPodscanMcpServer](https:\u002F\u002Fgithub.com\u002FJordanDalton\u002FPodscanMcpServer): Podscan MCP Server enables seamless integration with Podscan's API for efficient podcast data retrieval.\n- [querypie\u002Fquerypie-mcp-server](https:\u002F\u002Fgithub.com\u002Fquerypie\u002Fquerypie-mcp-server): QueryPie MCP server empowers administrators with real-time data visualization, resource monitoring, and security auditing capabilities.\n- [xprilion\u002Fmcp-telemetry](https:\u002F\u002Fgithub.com\u002Fxprilion\u002Fmcp-telemetry): Enhance your chat system's observability by tracing and analyzing conversations with LLMs using Weights & Biases Weave.\n- [ghrud92\u002Fsimple-loki-mcp](https:\u002F\u002Fgithub.com\u002Fghrud92\u002Fsimple-loki-mcp): Facilitates AI-driven log analysis by interfacing with Grafana Loki logs via the Model Context Protocol.\n- [ggilligan12\u002Fkibana-mcp](https:\u002F\u002Fgithub.com\u002Fggilligan12\u002Fkibana-mcp): Facilitates AI-driven interaction with Kibana Security alerts by tagging, adjusting status, and retrieving alerts.\n- [yuki9541134\u002Fmcp-redash](https:\u002F\u002Fgithub.com\u002Fyuki9541134\u002Fmcp-redash): Facilitates SQL query execution and data source management through Redash API integration.\n- [PovedaAqui\u002Fsuzieq-mcp](https:\u002F\u002Fgithub.com\u002FPovedaAqui\u002Fsuzieq-mcp): Facilitates interaction with SuzieQ network observability via MCP tools for querying and summarizing network state data.\n- [naveen09\u002Fmcp_pagerduty](https:\u002F\u002Fgithub.com\u002Fnaveen09\u002Fmcp_pagerduty): Facilitates PagerDuty integration for on-call management queries via an MCP server, compatible with Claude.\n- [brunoborges\u002Fjvm-diagnostics-mcp](https:\u002F\u002Fgithub.com\u002Fbrunoborges\u002Fjvm-diagnostics-mcp): Enhances JVM diagnostic tools with a user-friendly prompt and exposes them via an MCP server for local use.\n- [gkhays\u002Fmcp-sbom-server](https:\u002F\u002Fgithub.com\u002Fgkhays\u002Fmcp-sbom-server): Generates a Software Bill of Materials (SBOM) using Trivy scans, outputting in CycloneDX format.\n- [smigolsmigol\u002Fllmkit](https:\u002F\u002Fgithub.com\u002Fsmigolsmigol\u002Fllmkit): AI cost tracking and budget enforcement MCP server with 11 tools for monitoring spend, session costs, and token usage across Claude Code, Cursor, and Cline.\n\n## 🖼️ Multimedia Processing\n\nServers focused on generating or manipulating images, processing video, audio transcription, text-to-speech, or document conversion.\n\n- [AIDC-AI\u002FPixelle-MCP](https:\u002F\u002Fgithub.com\u002FAIDC-AI\u002FPixelle-MCP): An omnimodal AIGC framework that seamlessly converts ComfyUI workflows into MCP tools with zero code, enabling full-modal support for Text, Image, Sound, and Video generation with Chainlit-based web interface.\n- [aimino\u002Fimagemagic-mcp](https:\u002F\u002Fgithub.com\u002Faimino\u002Fimagemagic-mcp): Enhance images with binarization, color adjustment, and resizing using ImageMagick via the MCP protocol.\n- [SkyworkAI\u002FMureka-mcp](https:\u002F\u002Fgithub.com\u002FSkyworkAI\u002FMureka-mcp): Facilitates the creation of lyrics, songs, and background music through an MCP server, enabling seamless integration with platforms like Claude Desktop and OpenAI Agents.\n- [joshmouch\u002Fmcp-image-generator](https:\u002F\u002Fgithub.com\u002Fjoshmouch\u002Fmcp-image-generator): Facilitates image generation, editing, and variation creation using OpenAI's DALL-E API.\n- [omergocmen\u002Fjson2video-mcp-server](https:\u002F\u002Fgithub.com\u002Fomergocmen\u002Fjson2video-mcp-server): Facilitates video creation and status monitoring through the json2video API, enabling seamless integration with LLMs and automation agents.\n- [echozyr2001\u002Fali-flux-mcp](https:\u002F\u002Fgithub.com\u002Fechozyr2001\u002Fali-flux-mcp): Facilitates image generation and management using Alibaba Cloud's DashScope API, with task tracking and local storage capabilities.\n- [c-rick\u002Fjimeng-mcp](https:\u002F\u002Fgithub.com\u002Fc-rick\u002Fjimeng-mcp): A TypeScript-based MCP server integrating Volcengine's AI image generation service, offering tools for creating images with customizable parameters and direct URL returns.\n- [hamflx\u002Fimagen3-mcp](https:\u002F\u002Fgithub.com\u002Fhamflx\u002Fimagen3-mcp): Harnesses Google's Imagen 3.0 for photorealistic image generation via MCP, requiring a Google Gemini API key.\n- [SealinGp\u002Fmcp-video-extraction](https:\u002F\u002Fgithub.com\u002FSealinGp\u002Fmcp-video-extraction): Facilitates text extraction from videos and audio files across multiple platforms using OpenAI's Whisper model.\n- [kdr\u002Fmcp-draw](https:\u002F\u002Fgithub.com\u002Fkdr\u002Fmcp-draw): Facilitates AI-driven image generation from text prompts via a standardized interface.\n- [4kk11\u002Fmcp-gpt-image](https:\u002F\u002Fgithub.com\u002F4kk11\u002Fmcp-gpt-image): Generates and edits images using OpenAI API, providing scalable previews and Docker integration.\n- [antvis\u002Fmcp-server-chart](https:\u002F\u002Fgithub.com\u002Fantvis\u002Fmcp-server-chart): Facilitates the creation of diverse visual charts using AntV through a TypeScript-based MCP server.\n- [HYPERVAPOR\u002Fmcp-image-processor](https:\u002F\u002Fgithub.com\u002FHYPERVAPOR\u002Fmcp-image-processor): High-performance image processing server offering format conversion, resizing, and optimization capabilities.\n- [MalluBeast69\u002Fgemini-img-gen-MCP](https:\u002F\u002Fgithub.com\u002FMalluBeast69\u002Fgemini-img-gen-MCP): Generate images using Google's Gemini model via a dedicated MCP server.\n- [Bigchx\u002Fmcp_3d_relief](https:\u002F\u002Fgithub.com\u002FBigchx\u002Fmcp_3d_relief): Transform 2D images into detailed 3D relief models in STL format for 3D printing or rendering.\n- [falahgs\u002Fmcp-3d-style-cartoon-gen-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fmcp-3d-style-cartoon-gen-server): A server that combines 3D-style cartoon image generation with secure file system operations, leveraging Google's Gemini AI and MCP SDK.\n- [zjf2671\u002Fhh-mcp-comfyui](https:\u002F\u002Fgithub.com\u002Fzjf2671\u002Fhh-mcp-comfyui): Facilitates image generation through natural language commands by interfacing with a local ComfyUI instance via the MCP protocol.\n- [mario-andreschak\u002Fmcp_video_recognition](https:\u002F\u002Fgithub.com\u002Fmario-andreschak\u002Fmcp_video_recognition): Facilitates image, audio, and video recognition using Google's Gemini AI.\n- [Flyworks-AI\u002Flipsync-mcp](https:\u002F\u002Fgithub.com\u002FFlyworks-AI\u002Flipsync-mcp): Facilitates fast and free lipsync video creation for digital avatars using the Flyworks API.\n- [bads1de\u002Fyoutube-mp3-mcp](https:\u002F\u002Fgithub.com\u002Fbads1de\u002Fyoutube-mp3-mcp): Facilitates the extraction of high-quality MP3 audio from YouTube URLs with seamless Claude Desktop integration.\n- [jyjune\u002Fmcp_vms](https:\u002F\u002Fgithub.com\u002Fjyjune\u002Fmcp_vms): Facilitates integration with CCTV systems by providing tools to access and control video streams and PTZ cameras.\n- [nguyendinhsinh361\u002Felevenlabs-mcp](https:\u002F\u002Fgithub.com\u002Fnguyendinhsinh361\u002Felevenlabs-mcp): Facilitates interaction with ElevenLabs' Text to Speech and audio processing APIs, enabling MCP clients to generate speech, clone voices, and transcribe audio.\n- [tjh19971228\u002Fmcp_video_analysis](https:\u002F\u002Fgithub.com\u002Ftjh19971228\u002Fmcp_video_analysis): Facilitates video content analysis and mind map generation using the Model Context Protocol.\n- [intsig-textin\u002Ftextin-mcp](https:\u002F\u002Fgithub.com\u002Fintsig-textin\u002Ftextin-mcp): TextIn MCP Server facilitates text extraction and OCR on documents, supporting recognition and conversion to Markdown format.\n- [PixVerseAI\u002FPixVerse-MCP](https:\u002F\u002Fgithub.com\u002FPixVerseAI\u002FPixVerse-MCP): Enables seamless interaction with PixVerse's AI video generation models through applications supporting the Model Context Protocol.\n- [falahgs\u002Fmcp-minimax-music-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fmcp-minimax-music-server): Facilitates AI-driven music and audio content creation through the MiniMax Music API, seamlessly integrating with Claude Desktop.\n- [morim3\u002Fmcp_adobe_premiere](https:\u002F\u002Fgithub.com\u002Fmorim3\u002Fmcp_adobe_premiere): Facilitates LLM control over Adobe Premiere Pro via an MCP server and UXP plugin integration.\n- [savethepolarbears\u002Fgoogle-photos-mcp](https:\u002F\u002Fgithub.com\u002Fsavethepolarbears\u002Fgoogle-photos-mcp): Facilitates AI assistants' access to Google Photos, enabling photo search and retrieval by content, date, and location.\n- [luebken\u002Fplaylist-mcp](https:\u002F\u002Fgithub.com\u002Fluebken\u002Fplaylist-mcp): Provides access to YouTube playlist transcripts via an experimental MCP server, with initial support for KubeCon London 2025 content.\n- [sandst1\u002Fmcp-server-midi](https:\u002F\u002Fgithub.com\u002Fsandst1\u002Fmcp-server-midi): Facilitates the transmission of MIDI sequences from an LLM to any MIDI-compatible software, enabling seamless integration with digital audio workstations and hardware synthesizers.\n- [falahgs\u002Fimage-gen3-google-mcp-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fimage-gen3-google-mcp-server): Harness Google's Imagen 3.0 model via the Gemini API for high-quality image generation, seamlessly integrating with Claude Desktop and other MCP-compatible hosts.\n- [transloadit\u002Fnode-sdk](https:\u002F\u002Fgithub.com\u002Ftransloadit\u002Fnode-sdk\u002Ftree\u002Fmain\u002Fpackages\u002Fmcp-server): Agent-native media processing via Transloadit's 86+ Robots, supporting video encoding, image manipulation, document conversion, OCR, and speech transcription. Hosted or self-hosted via npx.\n- [fasuizu-br\u002Fspeech-ai-examples](https:\u002F\u002Fgithub.com\u002Ffasuizu-br\u002Fspeech-ai-examples): Speech AI MCP server with pronunciation assessment (phoneme-level scoring, 17MB model, \u003C300ms), text-to-speech, and speech-to-text. 8 tools for AI agents building language learning, accessibility, and voice applications.\n- [ssembleinc\u002Fssemble-mcp-server](https:\u002F\u002Fgithub.com\u002Fssembleinc\u002Fssemble-mcp-server) - Create AI-generated short-form video clips from YouTube with captions, music, gameplay overlays, meme hooks, and viral scoring.\n\n## 🖥️ Operating System & Command Line\n\nServers providing access to the host operating system's command line\u002Fshell, executing OS commands, or managing system information.\n\n- [anurag-dhamala\u002Fos-info-mcp-server](https:\u002F\u002Fgithub.com\u002Fanurag-dhamala\u002Fos-info-mcp-server): Provides real-time operating system information through an MCP server interface.\n- [aybelatchane\u002Fmcp-server-terminal](https:\u002F\u002Fgithub.com\u002Faybelatchane\u002Fmcp-server-terminal): MCP server enabling AI agents to interact with terminal applications (TUI\u002FCLI) through structured Terminal State Tree representation. Think Playwright for terminals.\n- [mnardit\u002Fclipboard-mcp](https:\u002F\u002Fgithub.com\u002Fmnardit\u002Fclipboard-mcp): Cross-platform system clipboard access (read, write, watch for changes) for AI assistants. Single Rust binary, zero runtime deps. Supports Windows, macOS, Linux (X11 + Wayland).\n- [magicuidesign\u002Fcli](https:\u002F\u002Fgithub.com\u002Fmagicuidesign\u002Fcli): Facilitates the installation and configuration of Magic UI components through a command-line interface.\n- [classfang\u002Fssh-mcp-server](https:\u002F\u002Fgithub.com\u002Fclassfang\u002Fssh-mcp-server): Facilitates secure remote SSH command execution via the MCP protocol, enabling AI assistants to interact with servers without exposing SSH credentials.\n- [winterfx\u002Fmcpcli](https:\u002F\u002Fgithub.com\u002Fwinterfx\u002Fmcpcli): A command-line interface for managing and interacting with multiple MCP servers, offering features like tool invocation and server inspection.\n- [reinier-millo\u002Fi18n-mcp-server](https:\u002F\u002Fgithub.com\u002Freinier-millo\u002Fi18n-mcp-server): Facilitates seamless internationalization by translating JSON language files using language models through a server interface.\n- [sadeghtkd\u002Fping-mcp-server](https:\u002F\u002Fgithub.com\u002Fsadeghtkd\u002Fping-mcp-server): Facilitates network connectivity tests and ping operations for Claude Desktop via MCP.\n- [the-nine-nation\u002Fmini-cursor](https:\u002F\u002Fgithub.com\u002Fthe-nine-nation\u002Fmini-cursor): A lightweight command-line tool enabling Cursor-like programming with AI agents, supporting multi-tool MCP invocation and integration with various LLMs.\n- [tailor-platform\u002Ftailor-mcp](https:\u002F\u002Fgithub.com\u002Ftailor-platform\u002Ftailor-mcp): Tailor Platform's command-line utility for managing and configuring applications via the MCP server, offering seamless integration with LLM clients and GraphQL access.\n- [calvinw\u002Fmcp-sqlite-client](https:\u002F\u002Fgithub.com\u002Fcalvinw\u002Fmcp-sqlite-client): Facilitates natural language interaction with SQLite databases via a command-line client using OpenRouter's LLM API.\n- [KilluaYZ\u002Felixir_linux_mcp_server](https:\u002F\u002Fgithub.com\u002FKilluaYZ\u002Felixir_linux_mcp_server): Facilitates precise Linux source code queries using Elixir for LLMs.\n- [dolwinf\u002Fmcp-terminal-client](https:\u002F\u002Fgithub.com\u002Fdolwinf\u002Fmcp-terminal-client): A terminal-based interactive chat client for communicating with MCP servers using Anthropic's Claude models.\n- [EdenYavin\u002FOSV-MCP](https:\u002F\u002Fgithub.com\u002FEdenYavin\u002FOSV-MCP): A lightweight server for querying the OSV database to fetch CVE details, affected versions, and fix versions using the Model Context Protocol.\n- [someaka\u002Fwayland-mcp](https:\u002F\u002Fgithub.com\u002Fsomeaka\u002Fwayland-mcp): Wayland MCP Server offers screenshot, analysis, and input control tools tailored for modern Linux desktops.\n- [mcollina\u002Fperm-shell-mcp](https:\u002F\u002Fgithub.com\u002Fmcollina\u002Fperm-shell-mcp): PermShell MCP enables secure execution of shell commands with explicit permission notifications, ensuring transparency and safety.\n- [AB498\u002Fcomputer-control-mcp](https:\u002F\u002Fgithub.com\u002FAB498\u002Fcomputer-control-mcp): Enables comprehensive computer control through mouse, keyboard, and OCR functionalities using PyAutoGUI and RapidOCR, with zero external dependencies.\n- [mediar-ai\u002Fmcp-server-macos-use](https:\u002F\u002Fgithub.com\u002Fmediar-ai\u002Fmcp-server-macos-use): Swift-based server enabling macOS application control via accessibility APIs, compatible with MCP clients like Claude Desktop.\n- [gamunu\u002Fmcp-unix-shell](https:\u002F\u002Fgithub.com\u002Fgamunu\u002Fmcp-unix-shell): A Go-based server for executing shell commands via MCP, featuring command execution history and configurable security settings.\n- [shkna1368\u002Fmcp-cline](https:\u002F\u002Fgithub.com\u002Fshkna1368\u002Fmcp-cline): Facilitates the setup and configuration of an MCP server using SQLite for database management and integration with Visual Studio Code.\n- [krishanka\u002Fremote-mcp](https:\u002F\u002Fgithub.com\u002Fkrishanka\u002Fremote-mcp): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [Machine-To-Machine\u002Fm2m-mcp-server-ssh-server](https:\u002F\u002Fgithub.com\u002FMachine-To-Machine\u002Fm2m-mcp-server-ssh-server): A secure SSH server enabling remote access and interaction with multiple MCP tools through a unified interface.\n- [bfollington\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fbfollington\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool invocation.\n- [Deniscartin\u002Fmcp-cli](https:\u002F\u002Fgithub.com\u002FDeniscartin\u002Fmcp-cli): A comprehensive toolkit for interacting with Model Context Protocol servers, offering a GUI, CLI, and API for managing server configurations and executing queries.\n- [Machine-To-Machine\u002Fm2m-mcp-server-ssh-client](https:\u002F\u002Fgithub.com\u002FMachine-To-Machine\u002Fm2m-mcp-server-ssh-client): Facilitates secure SSH connections to remote MCP servers, enabling access to MCP tools and resources over a secure channel.\n- [paulsmith\u002Ftailscale-mcp-server](https:\u002F\u002Fgithub.com\u002Fpaulsmith\u002Ftailscale-mcp-server): Facilitates secure, read-only interactions with Tailscale networks via MCP-compatible clients like Claude Desktop.\n- [thuanpham582002\u002Ftabby-mcp-server](https:\u002F\u002Fgithub.com\u002Fthuanpham582002\u002Ftabby-mcp-server): Empower your terminal with AI-driven control and automation using the Tabby MCP server.\n- [Ryuhei-So\u002Fmermaid-cli-server](https:\u002F\u002Fgithub.com\u002FRyuhei-So\u002Fmermaid-cli-server): Generates PNG images from Mermaid markdown using the official mermaid-cli.\n- [LiTschii\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FLiTschii\u002Fremote-mcp-server): Deploy a remote MCP server on Cloudflare Workers with OAuth login and connect it to Claude Desktop for seamless tool integration.\n- [wgr1984\u002Fns-lookup-mcp](https:\u002F\u002Fgithub.com\u002Fwgr1984\u002Fns-lookup-mcp): Provides a REST API for DNS lookups using the nslookup command, enabling easy integration of DNS resolution into applications.\n- [GeLi2001\u002Fmcp-terminal](https:\u002F\u002Fgithub.com\u002FGeLi2001\u002Fmcp-terminal): A terminal-based interactive client for managing and communicating with MCP servers, supporting multiple transport methods and server configurations.\n- [Wh0am123\u002FMCP-Kali-Server](https:\u002F\u002Fgithub.com\u002FWh0am123\u002FMCP-Kali-Server): A lightweight API bridge enabling AI-driven offensive security testing by connecting MCP clients to a Kali Linux machine for executing terminal commands and solving CTF challenges.\n\n## ✅ Project & Task Management\n\nServers integrating with project management and task tracking tools.\n\n- [Writbase\u002Fwritbase](https:\u002F\u002Fgithub.com\u002FWritbase\u002Fwritbase): MCP-native task management for AI agent fleets with multi-agent permissions, full provenance, inter-agent delegation, and A2A protocol alignment.\n- [ACNet-AI\u002FOmniTaskAgent](https:\u002F\u002Fgithub.com\u002FACNet-AI\u002FOmniTaskAgent): OmniTaskAgent is a versatile multi-model task management system that integrates with various task management solutions and editors via the MCP protocol, enhancing intelligent workflow processes.\n- [linshu123\u002Fvolar_docs](https:\u002F\u002Fgithub.com\u002Flinshu123\u002Fvolar_docs): Volar facilitates task management by aligning human and AI collaboration through an MCP server, enabling asynchronous workflows and context organization.\n- [eyalzh\u002Fkanban-mcp](https:\u002F\u002Fgithub.com\u002Feyalzh\u002Fkanban-mcp): Facilitates task management for AI-driven workflows using a kanban system, enabling structured planning and execution across multiple sessions.\n- [danielealbano\u002Fmcp-for-azure-devops-boards](https:\u002F\u002Fgithub.com\u002Fdanielealbano\u002Fmcp-for-azure-devops-boards): The necessary bits to let your favourite AI manage Azure DevOps Boards like a project manager, with stdio and HTTP support and authentication via standard Azure login.\n- [jj3ny\u002Freclaim-mcp-server](https:\u002F\u002Fgithub.com\u002Fjj3ny\u002Freclaim-mcp-server): A TypeScript-based MCP server enabling seamless interaction with Reclaim.ai's API for task management and scheduling.\n- [namanyayg\u002Fgiga-mcp](https:\u002F\u002Fgithub.com\u002Fnamanyayg\u002Fgiga-mcp): Enhance AI project management by automating memory and task tracking with seamless integration into MCP clients.\n- [Moss-G\u002FGantt-server](https:\u002F\u002Fgithub.com\u002FMoss-G\u002FGantt-server): Facilitates AI-driven Gantt chart project and task management with interactive visualization capabilities.\n- [pj8\u002Fbacklog-mcp-server](https:\u002F\u002Fgithub.com\u002Fpj8\u002Fbacklog-mcp-server): Facilitates seamless integration with Backlog for task management through MCP server capabilities.\n- [danielscholl\u002Fbacklog-manager-mcp](https:\u002F\u002Fgithub.com\u002Fdanielscholl\u002Fbacklog-manager-mcp): A task tracking and backlog management server for AI assistants, utilizing Anthropic's MCP protocol for seamless integration with AI clients.\n- [stevengonsalvez\u002Ftodoist-mcp](https:\u002F\u002Fgithub.com\u002Fstevengonsalvez\u002Ftodoist-mcp): Facilitates advanced task and project management on Todoist through MCP-compatible clients, enhancing productivity and collaboration.\n- [thezuck\u002Fpage_control_mcp](https:\u002F\u002Fgithub.com\u002Fthezuck\u002Fpage_control_mcp): Facilitates real-time web page control and interaction through a Node.js MCP server and a Chrome extension, enabling seamless integration with AI editors like Zencoder and Cursor.\n- [Gitreceiver\u002FTAMA-MCP](https:\u002F\u002Fgithub.com\u002FGitreceiver\u002FTAMA-MCP): Tama is an AI-enhanced task management CLI that operates as an MCP server, enabling programmatic task management and AI-driven task expansion.\n- [mkusaka\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fmkusaka\u002Flinear-mcp): Facilitates seamless management of Linear issues, projects, and teams through Cline integration.\n- [digitalcube\u002Fadvanced-backlog-mcp-server](https:\u002F\u002Fgithub.com\u002Fdigitalcube\u002Fadvanced-backlog-mcp-server): Facilitates interaction with Backlog for project management through a Model Context Protocol server, enabling efficient querying and management of projects, issues, wikis, and user activities.\n- [TickTeam\u002Fticktick-mcp](https:\u002F\u002Fgithub.com\u002FTickTeam\u002Fticktick-mcp): Facilitates task management through TickTick integration, enabling users to view and add tasks via MCP server commands.\n- [nulab\u002Fbacklog-mcp-server](https:\u002F\u002Fgithub.com\u002Fnulab\u002Fbacklog-mcp-server): Facilitates project management and issue tracking on Backlog through Claude integration.\n- [stevengonsalvez\u002Fmcp-todoist](https:\u002F\u002Fgithub.com\u002Fstevengonsalvez\u002Fmcp-todoist): Integrates Todoist with language models for seamless task management through natural language commands.\n- [bravoure\u002Fclickup-mcp](https:\u002F\u002Fgithub.com\u002Fbravoure\u002Fclickup-mcp): Facilitates seamless integration between AI assistants and ClickUp for task management and collaboration.\n- [service-hero\u002Fhousecallpro-mcp-server](https:\u002F\u002Fgithub.com\u002Fservice-hero\u002Fhousecallpro-mcp-server): A remote MCP server deployed on Cloudflare Workers, enabling OAuth login and integration with Claude Desktop for tool invocation.\n- [Leee62\u002Fsentry-issues-mcp](https:\u002F\u002Fgithub.com\u002FLeee62\u002Fsentry-issues-mcp): Facilitates the retrieval and analysis of Sentry issues, enabling LLMs to diagnose and suggest fixes for software problems.\n- [alepenavargas\u002Fmcp-nav](https:\u002F\u002Fgithub.com\u002Falepenavargas\u002Fmcp-nav): Facilitates navigation and content extraction from modelcontextprotocol.io using a configurable MCP server.\n- [tradesdontlie\u002Ftask-manager-mcp](https:\u002F\u002Fgithub.com\u002Ftradesdontlie\u002Ftask-manager-mcp): Facilitates comprehensive task and project management with AI-driven task breakdown and tracking capabilities.\n- [Toru-Takagi\u002Ftogello-mcp-server](https:\u002F\u002Fgithub.com\u002FToru-Takagi\u002Ftogello-mcp-server): Facilitates task management and calendar integration using the Model Context Protocol.\n- [https-eduardo\u002Fclockify-mcp-server](https:\u002F\u002Fgithub.com\u002Fhttps-eduardo\u002Fclockify-mcp-server): Integrates with AI tools to manage Clockify time entries via prompts to LLM.\n- [curiousguyinhis30s\u002Fsimple-task-master](https:\u002F\u002Fgithub.com\u002Fcuriousguyinhis30s\u002Fsimple-task-master): A task management system that integrates with Desktop Commander MCP to organize and track tasks for Claude desktop code projects.\n- [tonyzorin\u002Fyoutrack-mcp](https:\u002F\u002Fgithub.com\u002Ftonyzorin\u002Fyoutrack-mcp): Facilitates AI-driven interaction with JetBrains YouTrack for comprehensive issue, project, and user management.\n- [zhongwencool\u002Fdida-mcp-server](https:\u002F\u002Fgithub.com\u002Fzhongwencool\u002Fdida-mcp-server): Facilitates AI-driven task and project management through TickTick\u002FDida365 using the Model Context Protocol.\n- [vanisoul\u002Frundeck-mcp-server](https:\u002F\u002Fgithub.com\u002Fvanisoul\u002Frundeck-mcp-server): Facilitates AI-driven Rundeck operations via a Model Context Protocol server, enabling seamless interaction without direct command line use.\n- [GuilhermeBarroso-sys\u002Ftrello-report-mcp](https:\u002F\u002Fgithub.com\u002FGuilhermeBarroso-sys\u002Ftrello-report-mcp): Generate detailed Trello board reports by quarter or year, integrating seamlessly with AI assistants.\n- [larryhudson\u002Flinear-mcp-server-again](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Flinear-mcp-server-again): Facilitates interaction between Claude and Linear for task management through a Model Context Protocol server.\n- [menma-at-here\u002Fcalendar-mcp-server](https:\u002F\u002Fgithub.com\u002Fmenma-at-here\u002Fcalendar-mcp-server): Facilitates retrieval of Google Calendar events through an MCP server interface.\n- [taskade\u002Fmcp](https:\u002F\u002Fgithub.com\u002Ftaskade\u002Fmcp) – Official Taskade MCP server: connect Taskade’s API to any MCP-compatible client (e.g. Claude or Cursor), enabling workspace loading, task retrieval, and interactive operations.\n- [TourAround\u002FLystBot](https:\u002F\u002Fgithub.com\u002FTourAround\u002FLystBot): AI-powered list management MCP server. Create grocery lists, todos, and packing lists, add items, check them off, and share lists with family. 10 MCP tools for the full list lifecycle. Free iOS + Android app at lystbot.com.\n\n## 🔬 Science & Research\n\nServers accessing scientific databases, research platforms, or providing tools for scientific computation\u002Fsimulation.\n\n- [connerlambden\u002Fbgpt-mcp](https:\u002F\u002Fgithub.com\u002Fconnerlambden\u002Fbgpt-mcp): Search scientific papers with structured experimental data extracted from full-text studies, returning 25+ fields per paper including methods, results, sample sizes, and quality scores.\n- [GreatApo\u002Fconcrete-properties-mcp](https:\u002F\u002Fgithub.com\u002FGreatApo\u002Fconcrete-properties-mcp): Facilitates AI-driven analysis of reinforced concrete sections by providing a unified API interface for calculating geometric and material properties.\n- [GooTec\u002FNCBI-MCP](https:\u002F\u002Fgithub.com\u002FGooTec\u002FNCBI-MCP): Facilitates access to NCBI Datasets through a modular MCP server with OpenAPI-driven endpoints for genome, gene, and taxonomy data.\n- [leelasd\u002Fmolecule_mcp](https:\u002F\u002Fgithub.com\u002Fleelasd\u002Fmolecule_mcp): Facilitates chemistry-focused applications by visualizing molecules and retrieving molecular properties using SMILES codes, integrated with LLMs like Claude Desktop.\n- [RLabs-Inc\u002Fios-forensics-mcp](https:\u002F\u002Fgithub.com\u002FRLabs-Inc\u002Fios-forensics-mcp): Facilitates forensic analysis of iOS file systems, enabling AI assistants to explore and report on digital artifacts.\n- [koido\u002Fliftover-mcp](https:\u002F\u002Fgithub.com\u002Fkoido\u002Fliftover-mcp): Facilitates genomic coordinate conversion using the Broad Institute's Liftover tool via a programmatic interface.\n- [Rkm1999\u002FCelestialMCP](https:\u002F\u002Fgithub.com\u002FRkm1999\u002FCelestialMCP): CelestialMCP offers precise astronomical calculations for celestial object positions and rise\u002Fset times, integrating seamlessly with Claude AI.\n- [simpolism\u002FAstroMCP](https:\u002F\u002Fgithub.com\u002Fsimpolism\u002FAstroMCP): AstroMCP provides AI assistants with astrological chart functionality, integrating seamlessly via the Model Context Protocol.\n- [Nicolassaint\u002FmathsIA_API](https:\u002F\u002Fgithub.com\u002FNicolassaint\u002FmathsIA_API): MathsIA API integrates FastAPI-MCP to enable AI models to manage a flashcard system for math learning, offering features for user management and progress tracking.\n- [Xinruims\u002Fmy_experiment](https:\u002F\u002Fgithub.com\u002FXinruims\u002Fmy_experiment): Enhance Roo Code with MCP server implementations for AI-driven coding tools, offering seamless integration and configuration across platforms.\n- [liuyixin-louis\u002FArxivMCP](https:\u002F\u002Fgithub.com\u002Fliuyixin-louis\u002FArxivMCP): Facilitates academic paper searches on arXiv with MCP client integration for seamless retrieval.\n- [wildsonbbl\u002Fgnnepcsaft_mcp_server](https:\u002F\u002Fgithub.com\u002Fwildsonbbl\u002Fgnnepcsaft_mcp_server): Facilitates communication and context management for GNNePCSAFT tools using the Model Context Protocol.\n- [milatechtransfer\u002Fpaperpal](https:\u002F\u002Fgithub.com\u002Fmilatechtransfer\u002Fpaperpal): Enhance your literature review process by integrating LLMs with access to arXiv, Hugging Face papers, and Semantic Scholar.\n- [rperezll\u002Fmcp-lab](https:\u002F\u002Fgithub.com\u002Frperezll\u002Fmcp-lab): A personal lab exploring the Model Context Protocol SDK in TypeScript, featuring basic and advanced implementations like a Text-to-SQL server.\n- [falahgs\u002FBrave-Gemini-Research-MCP-Server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FBrave-Gemini-Research-MCP-Server): Empowers AI assistants with web search and research paper analysis using Brave Search API and Google's Gemini model.\n- [Orthogonalpub\u002Fmodelica_simulation_mcp_server](https:\u002F\u002Fgithub.com\u002FOrthogonalpub\u002Fmodelica_simulation_mcp_server): Facilitates Modelica model simulations, enabling LLMs to execute and manage Modelica-related tasks.\n- [kobzevvv\u002Fmoldsim-mcp](https:\u002F\u002Fgithub.com\u002Fkobzevvv\u002Fmoldsim-mcp): Injection molding simulation knowledge for AI — material properties (Cross-WLF, PVT, thermal, mechanical for 21 materials), process validation, DFM checklist, troubleshooting (230+ knowledge chunks with semantic search), and simulation spec generation.\n- [ytworks\u002FopenMM-Doc-MCP](https:\u002F\u002Fgithub.com\u002Fytworks\u002FopenMM-Doc-MCP): Facilitates semantic search through OpenMM molecular dynamics documentation using vector embeddings and FAISS for efficient retrieval, optimized for LLM integration.\n- [arrismo\u002Fkaggle-mcp](https:\u002F\u002Fgithub.com\u002Farrismo\u002Fkaggle-mcp): Facilitates interaction with Kaggle by providing tools for dataset search, download, and EDA notebook generation via the Model Context Protocol.\n- [mila-iqia\u002Fpaperpal](https:\u002F\u002Fgithub.com\u002Fmila-iqia\u002Fpaperpal): Enhance your literature review process by integrating LLMs with arXiv and Hugging Face papers for seamless paper discussions and organization.\n- [huang-sh\u002Fscanpy-mcp](https:\u002F\u002Fgithub.com\u002Fhuang-sh\u002Fscanpy-mcp): Facilitates natural language-driven scRNA-Seq analysis using Scanpy, enabling seamless integration with AI clients and agent frameworks.\n- [datalayer\u002Fjupyter-earth-mcp-server](https:\u002F\u002Fgithub.com\u002Fdatalayer\u002Fjupyter-earth-mcp-server): Facilitates geospatial analysis in Jupyter notebooks by integrating NASA Earthdata with Model Context Protocol.\n- [fdmocho\u002Fmcp_server_nasa](https:\u002F\u002Fgithub.com\u002Ffdmocho\u002Fmcp_server_nasa): Facilitates integration with NASA's Near Earth Object API, enabling date-specific data retrieval through an MCP server setup.\n- [hiyenwong\u002Farxiv_mcp](https:\u002F\u002Fgithub.com\u002Fhiyenwong\u002Farxiv_mcp): Facilitates the search and interpretation of academic papers from arXiv using MCP technology.\n- [demouth\u002Flearn-mcp-server](https:\u002F\u002Fgithub.com\u002Fdemouth\u002Flearn-mcp-server): A simple MCP server implementation for educational purposes, supporting basic arithmetic operations and integration with Claude Desktop.\n- [Codeshark-NET\u002Fclimate-triage-mcp](https:\u002F\u002Fgithub.com\u002FCodeshark-NET\u002Fclimate-triage-mcp): Integrates with the ClimateTriage API to facilitate searching for open source issues related to climate change and sustainability.\n- [chcharcharlie\u002F10XResearcher](https:\u002F\u002Fgithub.com\u002Fchcharcharlie\u002F10XResearcher): 10XResearcher enhances Claude into a systematic research agent with local data storage, enabling iterative research methodologies and high-quality outcomes.\n- [takashiishida\u002Farxiv-latex-mcp](https:\u002F\u002Fgithub.com\u002Ftakashiishida\u002Farxiv-latex-mcp): Facilitates precise interpretation of mathematical expressions in arXiv papers by processing LaTeX sources for Claude Desktop.\n- [JackKuo666\u002FPubChem-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FPubChem-MCP-Server): Facilitates AI-driven searches and retrieval of chemical compound data from PubChem via a streamlined MCP interface.\n- [HuaLuAI\u002FCAD-MCP](https:\u002F\u002Fgithub.com\u002FHuaLuAI\u002FCAD-MCP): CAD-MCP enables natural language-driven CAD operations across multiple software platforms, streamlining drawing tasks through intuitive text commands.\n- [danimal141\u002Farxiv-search-mcp](https:\u002F\u002Fgithub.com\u002Fdanimal141\u002Farxiv-search-mcp): Facilitates searching and retrieving academic papers from arXiv.org with customizable parameters.\n- [sebastien-le-paris\u002Fproject-rules](https:\u002F\u002Fgithub.com\u002Fsebastien-le-paris\u002Fproject-rules): Facilitates the integration of external tools and data sources with Cursor through the Model Context Protocol, enhancing AI project rule management and tool execution.\n\n## 🔎 Search\n\nServers providing web search capabilities or interfacing with specialized search APIs\u002Fplatforms.\n\n- [kokilabo\u002Fpdf-researcher](https:\u002F\u002Fgithub.com\u002Fkokilabo\u002Fpdf-researcher): A specialized MCP server designed for searching PDF documents using the Brave Search API.\n- [joaomj\u002Fdeep-search-mcp](https:\u002F\u002Fgithub.com\u002Fjoaomj\u002Fdeep-search-mcp): Facilitates deep web searches using the LinkUp API, offering structured results and customizable search parameters.\n- [jarondonp\u002Fportfolio-mcp-server](https:\u002F\u002Fgithub.com\u002Fjarondonp\u002Fportfolio-mcp-server): Integrates the Brave Search API to offer web and local search capabilities with flexible filtering and smart fallbacks.\n- [dealwallet1\u002Fmeiliseachmcp](https:\u002F\u002Fgithub.com\u002Fdealwallet1\u002Fmeiliseachmcp): Facilitates seamless interaction with Meilisearch through LLM interfaces, offering dynamic connection management, search capabilities, and comprehensive index and task management.\n- [marioalexandreantunes\u002Fmcp-search-mojeek](https:\u002F\u002Fgithub.com\u002Fmarioalexandreantunes\u002Fmcp-search-mojeek): Integrates the Mojeek search engine into an MCP server for privacy-focused and unbiased search results.\n- [funwarioisii\u002Fperplexity-mcp-rb](https:\u002F\u002Fgithub.com\u002Ffunwarioisii\u002Fperplexity-mcp-rb): Facilitates web search operations through a Perplexity-based MCP server.\n- [help116114\u002Fzoomeye-mcp-server](https:\u002F\u002Fgithub.com\u002Fhelp116114\u002Fzoomeye-mcp-server): Facilitates AI assistants in querying internet-wide host and web data via the ZoomEye v2 API.\n- [The-AI-Workshops\u002Fsearxng-mcp-server](https:\u002F\u002Fgithub.com\u002FThe-AI-Workshops\u002Fsearxng-mcp-server): Integrates SearXNG with MCP to provide AI agents with privacy-focused search capabilities.\n- [atskimura\u002Fmcp-salesforce-code-search](https:\u002F\u002Fgithub.com\u002Fatskimura\u002Fmcp-salesforce-code-search): Facilitates code search across Salesforce official sample repositories with filtering capabilities by component type and file extension.\n- [jindasy\u002Fmcp-news](https:\u002F\u002Fgithub.com\u002Fjindasy\u002Fmcp-news): Facilitates news article retrieval through a FastMCP server utilizing NewsAPI.org for keyword, date range, and source-based searches.\n- [jmchat\u002Fmcp-search-console-ts](https:\u002F\u002Fgithub.com\u002Fjmchat\u002Fmcp-search-console-ts): Manage Google Search Console properties, sitemaps, and search analytics via a Model Context Protocol server.\n- [OEvortex\u002Fddg_search](https:\u002F\u002Fgithub.com\u002FOEvortex\u002Fddg_search): A privacy-focused MCP server that leverages DuckDuckGo for efficient web search and URL content extraction.\n- [wd041216-bit\u002Fcross-validated-search](https:\u002F\u002Fgithub.com\u002Fwd041216-bit\u002Fcross-validated-search): Evidence-aware search, page reading, and claim verification for AI agents with CLI, MCP, and skill surfaces for Gemini, Claude Code, Manus, and OpenClaw.\n- [BochaAI\u002Fbocha-search-mcp](https:\u002F\u002Fgithub.com\u002FBochaAI\u002Fbocha-search-mcp): Bocha Search MCP Server empowers AI applications with high-quality knowledge from billions of web pages and diverse content sources, enhancing search capabilities across multiple domains.\n- [nitish-raj\u002Fsearxng-mcp-bridge](https:\u002F\u002Fgithub.com\u002Fnitish-raj\u002Fsearxng-mcp-bridge): Facilitates search operations by bridging MCP clients with a SearxNG instance.\n- [mytechnotalent\u002FRAG_MCP](https:\u002F\u002Fgithub.com\u002Fmytechnotalent\u002FRAG_MCP): A semantic PDF search server utilizing OCR, FAISS, and transformers for intelligent query responses.\n- [g-fukurowl\u002Ffess-mcp-server](https:\u002F\u002Fgithub.com\u002Fg-fukurowl\u002Ffess-mcp-server): Middleware server that integrates with the Fess search engine to enable information retrieval via MCP clients.\n- [ayush-rudani\u002Fgoogle-search-mcp-server](https:\u002F\u002Fgithub.com\u002Fayush-rudani\u002Fgoogle-search-mcp-server): Integrates with Google's Custom Search JSON API to provide advanced web search capabilities with structured results and rate limiting.\n- [alizdavoodi\u002FMCPDocSearch](https:\u002F\u002Fgithub.com\u002Falizdavoodi\u002FMCPDocSearch): A toolset for crawling websites and generating searchable Markdown documentation via an MCP server, optimized for integration with tools like Cursor.\n- [p1atdev\u002Fcode_search_mcp](https:\u002F\u002Fgithub.com\u002Fp1atdev\u002Fcode_search_mcp): Facilitates code search functionality through an MCP server setup, enabling efficient code retrieval and analysis.\n- [SebastianBoehler\u002Fdomain-check-mcp](https:\u002F\u002Fgithub.com\u002FSebastianBoehler\u002Fdomain-check-mcp): Facilitates domain availability checks and recommendations using IONOS endpoints.\n- [Glitchfix\u002Fmcp-duckduckgo](https:\u002F\u002Fgithub.com\u002FGlitchfix\u002Fmcp-duckduckgo): Enables LLMs to perform web searches and content retrieval using DuckDuckGo without API keys.\n- [supertrained\u002Frhumb](https:\u002F\u002Fgithub.com\u002Fsupertrained\u002Frhumb): Discover, evaluate, and execute 695+ external APIs for AI agents with AN Score trust ratings across 86 categories. Zero-signup discovery, three credential modes, and 16 MCP tools for finding and comparing services.\n- [mcp-for-dev\u002Fmcp-google-search](https:\u002F\u002Fgithub.com\u002Fmcp-for-dev\u002Fmcp-google-search): Facilitates web search and content extraction using Google Custom Search API, providing structured results for enhanced data retrieval.\n- [302ai\u002F302_web_search_mcp](https:\u002F\u002Fgithub.com\u002F302ai\u002F302_web_search_mcp): Facilitates web search integration with Claude Desktop through a configurable MCP server.\n- [Furafrafrfr\u002Fgoogler](https:\u002F\u002Fgithub.com\u002FFurafrafrfr\u002Fgoogler): Facilitates Google searches and compiles results using Gemini for command-line use.\n- [skeet-build\u002Fopensearch](https:\u002F\u002Fgithub.com\u002Fskeet-build\u002Fopensearch): Facilitates read-only access to OpenSearch clusters, allowing LLMs to inspect indices and execute queries.\n- [qianlima365\u002Fzhipu-web-search-mcp](https:\u002F\u002Fgithub.com\u002Fqianlima365\u002Fzhipu-web-search-mcp): Facilitates web network searches using Zhipu AI through an MCP tool.\n- [RmMargt\u002FsearchAPI-mcp](https:\u002F\u002Fgithub.com\u002FRmMargt\u002FsearchAPI-mcp): Facilitates AI assistants in accessing Google Maps, Flights, Hotels, and other services through a unified search API interface.\n- [zizzfizzix\u002Fmcp-server-indexnow](https:\u002F\u002Fgithub.com\u002Fzizzfizzix\u002Fmcp-server-indexnow): Facilitates URL indexing requests via the IndexNow protocol, enhancing content discovery and indexing speed for MCP-compatible clients.\n- [preludeorg\u002Fwindows-rs-mcp](https:\u002F\u002Fgithub.com\u002Fpreludeorg\u002Fwindows-rs-mcp): Facilitates searching the Rust windows crate API documentation using Playwright for seamless interaction with the documentation website.\n- [isnow890\u002Fnaver-search-mcp](https:\u002F\u002Fgithub.com\u002Fisnow890\u002Fnaver-search-mcp): Facilitates comprehensive search and data trend analysis across Naver services using the Naver Search and DataLab APIs.\n- [uju777\u002Fcoupang-mcp](https:\u002F\u002Fgithub.com\u002Fuju777\u002Fcoupang-mcp): MCP server for Coupang (Korea's largest e-commerce) product search with Rocket Delivery filtering and affiliate link generation.\n- [uju777\u002Fmcp-server-naver-search](https:\u002F\u002Fgithub.com\u002Fuju777\u002Fmcp-server-naver-search): MCP server for Naver Search (Shopping, Cafe, News). Essential for Korean users.\n- [shopsavvy\u002Fshopsavvy-mcp-server](https:\u002F\u002Fgithub.com\u002Fshopsavvy\u002Fshopsavvy-mcp-server): Real-time product pricing, price history, and shopping tools across thousands of retailers. Free tier, no signup required.\n- [Pattyboi101\u002Findiestack](https:\u002F\u002Fgithub.com\u002FPattyboi101\u002Findiestack): Open-source supply chain for AI agents — search and discover 3,000+ indie creations across 25 categories. 15 MCP tools including find_tools, build_stack, scan_project, compare_tools, and analyze_dependencies. Install via `uvx --from indiestack indiestack-mcp`.\n\n- [entire-vc\u002Fevc-spark-mcp](https:\u002F\u002Fgithub.com\u002Fentire-vc\u002Fevc-spark-mcp): MCP server for discovering, searching, and installing curated AI agent workflows from the Spark catalog - search 200+ tools, get install configs, browse curated bundles.\n- [Nadeus\u002Ftoolradar-mcp](https:\u002F\u002Fgithub.com\u002FNadeus\u002Ftoolradar-mcp): Search, compare, and get pricing for 8,600+ software tools with verified data, editorial scores, and real alternatives.\n\n## 🔒 Security\n\nServers interacting with security tools and platforms, vulnerability databases, security scanning, network security tools, or identity management.\n\n- [AgentLair](https:\u002F\u002Fagentlair.dev): Secure identity infrastructure for AI agents — gives agents their own @agentlair.dev email address, encrypted credential vault, and cryptographically signed audit trail. Remote MCP server, no SMTP\u002FDNS setup. npm: `@agentlair\u002Fmcp`.\n- [Rul1an\u002Fassay](https:\u002F\u002Fgithub.com\u002FRul1an\u002Fassay): The firewall for MCP tool calls. Deterministic policy enforcement proxy with replayable evidence bundles, OWASP MCP Top 10 coverage (7\u002F10), and compliance packs. MIT licensed.\n- [ClawSec](https:\u002F\u002Fclawsec.cc): Security audit platform for MCP servers and AI agent skills. 5-tier analysis pipeline — static analysis, pattern matching, LLM semantic review, Firecracker sandbox execution, and LLM audit — detects malicious patterns, data exfiltration, and prompt injection. Database of 30,000+ audited skills with Trust Scores. Companion tool [ClawSearch](https:\u002F\u002Fclawsearch.cc) provides safe skill discovery with security ratings.\n- [Chill-AI-Space\u002Fvault-mcp](https:\u002F\u002Fgithub.com\u002FChill-AI-Space\u002Fvault-mcp): MCP server for credential isolation — agents use passwords and API keys without seeing them in context. AES-256-GCM encryption, Chrome CDP login, API key proxy, tamper-proof audit trail.\n- [ElromEvedElElyon\u002Fsolanashield-mcp](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsolanashield-mcp): AI-powered Solana smart contract security audit server with 40 vulnerability patterns and 12 MCP tools covering access control, CPI safety, PDA, tokens, arithmetic, and DeFi exploits.\n- [ark-forge\u002Fmcp-eu-ai-act](https:\u002F\u002Fgithub.com\u002Fark-forge\u002Fmcp-eu-ai-act): Scans codebases for AI framework usage (16 frameworks) and checks compliance against EU AI Act requirements. Features 4-tier risk categorization, GDPR compliance checking, report generation, and compliance document templates.\n\n- [ark-forge\u002Farkforge-mcp](https:\u002F\u002Fgithub.com\u002Fark-forge\u002Farkforge-mcp): Certifying proxy for AI agent API calls. Every tool call becomes a signed, timestamped Agent Action Receipt (AAR). Model-agnostic and vendor-independent — works across any LLM provider or infrastructure.\n- [Kevros](https:\u002F\u002Fgovernance.taskhawktech.com): Runtime intelligence for autonomous AI agents — cryptographic action verification, hash-chained provenance, ML-DSA-87 post-quantum attestation. Free tier: 1,000 calls\u002Fmonth. Paid via L402, x402, or MPP.\n- [slowmist\u002FMasterMCP](https:\u002F\u002Fgithub.com\u002Fslowmist\u002FMasterMCP): MasterMCP demonstrates security vulnerabilities in MCP frameworks through practical attack examples, aiding developers in understanding and mitigating potential risks.\n- [sxhxliang\u002Fmcp-security-scan](https:\u002F\u002Fgithub.com\u002Fsxhxliang\u002Fmcp-security-scan): A Rust application for scanning and verifying the security of Model Context Protocol server configurations, prompts, resources, and tools.\n- [Eliran79\u002FVulnerable-file-reader-server](https:\u002F\u002Fgithub.com\u002FEliran79\u002FVulnerable-file-reader-server): A Python MCP server showcasing command injection vulnerabilities for educational purposes, highlighting the risks of improper input sanitization.\n- [R3verseIN\u002FHackerMCP](https:\u002F\u002Fgithub.com\u002FR3verseIN\u002FHackerMCP): HackerMCP empowers AI assistants to utilize penetration testing and security tools like Nmap and Metasploit through a streamlined interface.\n- [RobertoDure\u002Fmcp-vulnerability-scanner](https:\u002F\u002Fgithub.com\u002FRobertoDure\u002Fmcp-vulnerability-scanner): Scan IP addresses for vulnerabilities using Nmap and API-based checks, providing detailed reports with severity and remediation steps.\n- [crazyMarky\u002Fmcp_nuclei_server](https:\u002F\u002Fgithub.com\u002FcrazyMarky\u002Fmcp_nuclei_server): Facilitates vulnerability scanning using Nuclei with MCP protocol integration, offering configurable filtering and JSON output.\n- [Medinios\u002FSuricataMCP](https:\u002F\u002Fgithub.com\u002FMedinios\u002FSuricataMCP): SuricataMCP enables autonomous network traffic analysis using Suricata through a Model Context Protocol server, facilitating seamless integration with AI coding tools.\n- [dev-lu\u002FPentestMCP](https:\u002F\u002Fgithub.com\u002Fdev-lu\u002FPentestMCP): Facilitates security scans on Kali Linux using natural language commands via LLMs like Claude.\n- [The-Nexus-Guard\u002Faip-mcp-server](https:\u002F\u002Fgithub.com\u002FThe-Nexus-Guard\u002Faip-mcp-server): Agent Identity Protocol MCP server providing cryptographic identity verification, trust chain management, and secure messaging for AI agents via 8 tools including DID creation, challenge-response verification, vouching, and artifact signing.\n- [trustasia-com\u002Fmyssl-mcp-server-python](https:\u002F\u002Fgithub.com\u002Ftrustasia-com\u002Fmyssl-mcp-server-python): MySSL MCP Server performs site security certificate inspections, integrating with LLM models for enhanced analysis.\n- [dkvdm\u002Fonepassword-mcp-server](https:\u002F\u002Fgithub.com\u002Fdkvdm\u002Fonepassword-mcp-server): Facilitates secure credential retrieval from 1Password for integration with Agentic AI.\n- [GH05TCREW\u002FMetasploitMCP](https:\u002F\u002Fgithub.com\u002FGH05TCREW\u002FMetasploitMCP): Facilitates AI-driven interaction with Metasploit for dynamic security testing and exploitation workflows.\n- [EdenYavin\u002FGarak-MCP](https:\u002F\u002Fgithub.com\u002FEdenYavin\u002FGarak-MCP): Facilitates vulnerability scanning on various LLMs using Garak through a lightweight MCP server.\n- [GH05TCREW\u002FwinsecMCP](https:\u002F\u002Fgithub.com\u002FGH05TCREW\u002FwinsecMCP): Automates Windows security configuration by managing firewall, RDP, UAC, and account policies.\n- [CyberSecurityUP\u002FOffensive-MCP-AI](https:\u002F\u002Fgithub.com\u002FCyberSecurityUP\u002FOffensive-MCP-AI): A cybersecurity-focused MCP server that integrates AI for autonomous red teaming, threat hunting, and incident response automation.\n- [ashgw\u002Fvault-mcp](https:\u002F\u002Fgithub.com\u002Fashgw\u002Fvault-mcp): Facilitates secure interaction with HashiCorp Vault for secret and policy management through a Model Context Protocol server.\n- [ca-risken\u002Frisken-mcp-server](https:\u002F\u002Fgithub.com\u002Fca-risken\u002Frisken-mcp-server): Facilitates seamless integration with RISKEN APIs for advanced automation and interaction capabilities.\n- [mytechnotalent\u002FMalwareBazaar_MCP](https:\u002F\u002Fgithub.com\u002Fmytechnotalent\u002FMalwareBazaar_MCP): AI-driven server autonomously interfaces with MalwareBazaar for real-time threat intelligence and sample metadata in cybersecurity research.\n- [jmorrell-cloudflare\u002Fmcp-bearer-auth-example](https:\u002F\u002Fgithub.com\u002Fjmorrell-cloudflare\u002Fmcp-bearer-auth-example): A remote MCP server implementation on Cloudflare utilizing Bearer Token authentication for secure connections.\n- [naebo\u002Fmcp-external-recon-server](https:\u002F\u002Fgithub.com\u002Fnaebo\u002Fmcp-external-recon-server): Conducts active external reconnaissance with DNS enumeration, subdomain discovery, and SSL certificate inspection for offensive security engagements.\n- [javaDer\u002Fmcp-sentry-custom](https:\u002F\u002Fgithub.com\u002FjavaDer\u002Fmcp-sentry-custom): Facilitates the retrieval and analysis of issues from Sentry, providing detailed insights into error reports and debugging information.\n- [auth0\u002Fauth0-mcp-server](https:\u002F\u002Fgithub.com\u002Fauth0\u002Fauth0-mcp-server): Facilitates natural language-driven management of Auth0 operations through integration with LLMs and AI agents.\n- [bornpresident\u002FMISP-MCP-SERVER](https:\u002F\u002Fgithub.com\u002Fbornpresident\u002FMISP-MCP-SERVER): Integrates with MISP to enhance threat intelligence capabilities for Large Language Models.\n- [bottobot\u002Fdefense-mcp-server](https:\u002F\u002Fgithub.com\u002Fbottobot\u002Fdefense-mcp-server): 31 defensive security tools with 250+ actions for Linux system hardening, compliance auditing, firewall management, vulnerability scanning, and incident response. Dry-run by default.\n- [JithukrishnanV\u002FMCP-CyberAgent](https:\u002F\u002Fgithub.com\u002FJithukrishnanV\u002FMCP-CyberAgent): MCP-CyberAgent connects Claude Desktop with cybersecurity tools like VirusTotal, Nmap, and Shodan for AI-driven threat detection and network analysis.\n- [gleicon\u002Fmcp-osv](https:\u002F\u002Fgithub.com\u002Fgleicon\u002Fmcp-osv): Facilitates code security reviews by integrating with OSV.dev and AI models to identify vulnerabilities.\n- [enkryptai\u002Fenkryptai-mcp-server](https:\u002F\u002Fgithub.com\u002Fenkryptai\u002Fenkryptai-mcp-server): Integrate red-teaming, prompt auditing, and AI safety analysis into any MCP-compatible client with Enkrypt AI MCP Server.\n- [Eacus\u002Fmisp-mcp](https:\u002F\u002Fgithub.com\u002FEacus\u002Fmisp-mcp): Facilitates interaction with MISP through a Model Context Protocol server, enabling seamless integration with AI models for enhanced data management and analysis.\n- [MorDavid\u002FExternalAttacker-MCP](https:\u002F\u002Fgithub.com\u002FMorDavid\u002FExternalAttacker-MCP): ExternalAttacker integrates automated reconnaissance tools with a natural language interface for comprehensive external attack surface management.\n- [stoyky\u002Fmitre-attack-mcp](https:\u002F\u002Fgithub.com\u002Fstoyky\u002Fmitre-attack-mcp): Facilitates querying and visualizing the MITRE ATT&CK knowledge base, enabling threat actor and malware attribution through a Model-Context Protocol server.\n- [stevenyu113228\u002FBloodHound-MCP](https:\u002F\u002Fgithub.com\u002Fstevenyu113228\u002FBloodHound-MCP): BloodHound MCP enables LLMs to interact with and analyze Active Directory environments using natural language queries, enhancing the BloodHound tool's capabilities.\n- [Ludok-4\u002FGhidra](https:\u002F\u002Fgithub.com\u002FLudok-4\u002FGhidra): ghidraMCP enables LLMs to autonomously reverse engineer applications by integrating Ghidra's decompilation and analysis tools with MCP clients.\n- [microsoft\u002Fagent-governance-toolkit](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fagent-governance-toolkit): Kernel-level governance MCP server for AI agents — enforces deterministic policies (tool filtering, budget caps, rate limits, audit logging) instead of prompt-based guardrails. Part of microsoft\u002Fagent-lightning (14k★). Run via `npx agentos-mcp-server`.\n\n- [operantlabs\u002Foperant-mcp](https:\u002F\u002Fgithub.com\u002Foperantlabs\u002Foperant-mcp): Security testing MCP server with 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. Install via `npx operant-mcp`.\n- [scopeblind\u002Fscopeblind-gateway](https:\u002F\u002Fgithub.com\u002Fscopeblind\u002Fscopeblind-gateway): Security gateway for MCP servers — per-tool policies (Cedar + JSON), Ed25519-signed decision receipts, human approval gates, trust tiers. Shadow mode by default. Install via `npx protect-mcp`.\n\n- [shadoprizm\u002Fcyberlens-mcp-server](https:\u002F\u002Fgithub.com\u002Fshadoprizm\u002Fcyberlens-mcp-server): Security scanning MCP server for AI assistants — scan websites for missing headers and HTTPS issues, scan GitHub repos for secrets and CVE vulnerabilities, and scan Claw Hub skills for malicious code before installing. Free tier with local quick-scan (no account needed). `npx -y @shadoprizm\u002Fcyberlens-mcp-server`\n## 📱 Social Media & Content Platforms\n\nServers interacting with social networks, content platforms, or feed aggregators.\n\n- [NexusX-MCP\u002Fintegrate-mcp-server](https:\u002F\u002Fgithub.com\u002FNexusX-MCP\u002Fintegrate-mcp-server): An extensible server providing standardized access to social and onchain data, supporting platforms like Farcaster with plans for Twitter integration.\n- [sriramsowmithri9807\u002FMCP_X](https:\u002F\u002Fgithub.com\u002Fsriramsowmithri9807\u002FMCP_X): Facilitates AI model interactions with Twitter\u002FX API through a standardized MCP interface, enabling tweet management and data retrieval.\n- [Arindam200\u002Fdevto-mcp](https:\u002F\u002Fgithub.com\u002FArindam200\u002Fdevto-mcp): Enables AI assistants to interact with Dev.to content, offering features like fetching, searching, and managing articles.\n- [Sergiolm17\u002Fgenius-mcp-server](https:\u002F\u002Fgithub.com\u002FSergiolm17\u002Fgenius-mcp-server): Facilitates interaction with the Genius API for searching lyrics, artists, and song details via MCP client applications.\n- [rafaljanicki\u002Fx-twitter-mcp-server](https:\u002F\u002Fgithub.com\u002Frafaljanicki\u002Fx-twitter-mcp-server): Facilitates AI-driven interactions with Twitter, enabling tweet management and user engagement through natural language commands.\n- [shariqriazz\u002Fupsplash-mcp-server](https:\u002F\u002Fgithub.com\u002Fshariqriazz\u002Fupsplash-mcp-server): Facilitates interaction with the Unsplash API for photo searching and downloading through MCP tools.\n- [funtuan\u002Ftw-kfc-coupon-mcp](https:\u002F\u002Fgithub.com\u002Ffuntuan\u002Ftw-kfc-coupon-mcp): Facilitates the search for KFC Taiwan coupons using the MCP protocol, enabling seamless integration with AI-driven applications.\n- [LuniaKunal\u002Fmcp-twitter](https:\u002F\u002Fgithub.com\u002FLuniaKunal\u002Fmcp-twitter): Facilitates programmatic management of Twitter accounts with features like timeline retrieval, hashtag search, and direct messaging.\n- [LT-aitools\u002FMCPblusky](https:\u002F\u002Fgithub.com\u002FLT-aitools\u002FMCPblusky): Connects to Bluesky and enables natural language interaction with ATProtocol features, enhancing LLM applications with contextual data from Bluesky.\n- [yorickchan\u002Fmcp_youtube_dlp](https:\u002F\u002Fgithub.com\u002Fyorickchan\u002Fmcp_youtube_dlp): Facilitates AI assistants in downloading YouTube videos and audio using yt-dlp.\n- [ganyariya\u002Fmisskey-mcp-server](https:\u002F\u002Fgithub.com\u002Fganyariya\u002Fmisskey-mcp-server): Facilitates posting notes to Misskey using an unofficial MCP server implementation.\n- [saginawj\u002Fmcp-reddit-companion](https:\u002F\u002Fgithub.com\u002Fsaginawj\u002Fmcp-reddit-companion): Enhance your Reddit experience with natural language interaction, enabling custom curated feeds and content analysis using your preferred LLM client.\n- [stephen9412\u002Fyoutube-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephen9412\u002Fyoutube-mcp-server): FastMCP server for YouTube offering unified video, channel, and playlist management tools for memo agents and automation workflows.\n- [Yooki-K\u002Fweibo-mcp-server](https:\u002F\u002Fgithub.com\u002FYooki-K\u002Fweibo-mcp-server): Fetches and displays Weibo hot search data, including rankings, details, and comments, using the MCP framework.\n- [bossdong955\u002Fweibo-mcp-server](https:\u002F\u002Fgithub.com\u002Fbossdong955\u002Fweibo-mcp-server): Facilitates retrieval of the top N trending topics on Weibo with support for stdio and SSE modes.\n- [kukapay\u002Ftwitter-username-changes-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Ftwitter-username-changes-mcp): Tracks historical changes of Twitter usernames to identify potential scam risks in crypto projects.\n- [bads1de\u002FGNews-MCP](https:\u002F\u002Fgithub.com\u002Fbads1de\u002FGNews-MCP): Integrates with the GNews API to provide access to global news articles across various categories and languages.\n- [Lunran\u002Frssmcp](https:\u002F\u002Fgithub.com\u002FLunran\u002Frssmcp): Fetches and formats RSS feed entries with optional export capabilities.\n- [freestylefly\u002Fmcp-server-weread](https:\u002F\u002Fgithub.com\u002Ffreestylefly\u002Fmcp-server-weread): A lightweight server bridging WeRead data with Claude Desktop, enabling seamless access to reading notes and data.\n- [Arnoutopya\u002Fclaude-google-images-mcp](https:\u002F\u002Fgithub.com\u002FArnoutopya\u002Fclaude-google-images-mcp): Enhances Claude Desktop with the ability to search, browse, and download images from Google Images using natural language commands.\n- [Alirezawmoradi\u002Fgithub-follower-manager-mcp](https:\u002F\u002Fgithub.com\u002FAlirezawmoradi\u002Fgithub-follower-manager-mcp): Manage and analyze your GitHub follow relationships using the Model Context Protocol for seamless automation and natural language control.\n- [Zmingfeng\u002Fnews_mcp](https:\u002F\u002Fgithub.com\u002FZmingfeng\u002Fnews_mcp): A tool for retrieving and integrating current news from multiple sources with MCP-supported AI assistants.\n- [renant\u002Fmcp-tabnews](https:\u002F\u002Fgithub.com\u002Frenant\u002Fmcp-tabnews): Facilitates seamless integration with TabNews by providing a suite of tools for content retrieval and analytics through the Model Context Protocol.\n- [jean-technologies\u002Fmcp-writer-substack](https:\u002F\u002Fgithub.com\u002Fjean-technologies\u002Fmcp-writer-substack): Connects Claude to Substack and Medium writings, enabling semantic search and personalized assistance.\n- [Rakibulislamsarkar\u002Ftwitter-mcp](https:\u002F\u002Fgithub.com\u002FRakibulislamsarkar\u002Ftwitter-mcp): Facilitates interaction with Twitter for posting and searching tweets via a Model Context Protocol server.\n- [objones25\u002Fremote-cloudflare-youtube-transcript-mcp-server](https:\u002F\u002Fgithub.com\u002Fobjones25\u002Fremote-cloudflare-youtube-transcript-mcp-server): A serverless MCP server deployed on Cloudflare Workers for extracting YouTube video transcripts with support for multiple languages and ultra-fast response times.\n- [gulihua10010\u002Fmcp-server-article](https:\u002F\u002Fgithub.com\u002Fgulihua10010\u002Fmcp-server-article): Automates article generation and publication to platforms like CSDN, Juejin, and Cnblogs using AI and MCP protocol integration.\n- [dabidstudio\u002Fyoutubeinsights-mcp-server](https:\u002F\u002Fgithub.com\u002Fdabidstudio\u002Fyoutubeinsights-mcp-server): Facilitates insight extraction from YouTube videos, enabling subtitle parsing, keyword-based video discovery, and channel info retrieval.\n- [1282saa\u002Fnews_se](https:\u002F\u002Fgithub.com\u002F1282saa\u002Fnews_se): Facilitates AI model access to Seoul Economic Daily's stylebook data with advanced search and authentication features.\n- [tropical-362827\u002Ffutaba-mcp](https:\u002F\u002Fgithub.com\u002Ftropical-362827\u002Ffutaba-mcp): A Python library enabling AI assistants to interact with ふたば☆ちゃんねる by retrieving and sorting thread data.\n\n## ⚽ Sports\n\nServers providing access to sports-related APIs and analysis.\n\n- [dhrbtjr0331\u002Fnba-stats-predictor-mcp](https:\u002F\u002Fgithub.com\u002Fdhrbtjr0331\u002Fnba-stats-predictor-mcp): Generates NBA player performance forecasts using real-time data analysis and advanced statistical modeling.\n- [JamsusMaximus\u002Ftrainingpeaks-mcp](https:\u002F\u002Fgithub.com\u002FJamsusMaximus\u002Ftrainingpeaks-mcp): Accesses TrainingPeaks training data including fitness metrics (CTL\u002FATL\u002FTSB), workout history, and power\u002Fpace personal records for endurance athletes.\n- [henryco23\u002FNBA](https:\u002F\u002Fgithub.com\u002Fhenryco23\u002FNBA): A Python server utilizing MCP to provide comprehensive access to NBA statistics and live game data through the NBA API.\n- [yeonupark\u002Fmcp-soccer-data](https:\u002F\u002Fgithub.com\u002Fyeonupark\u002Fmcp-soccer-data): Delivers real-time football match data through natural language interactions using the SoccerDataAPI.\n- [guillochon\u002Fmlb-api-mcp](https:\u002F\u002Fgithub.com\u002Fguillochon\u002Fmlb-api-mcp): A Python MCP server that acts as a proxy to the freely available MLB API, which provides player info, stats, and game information.\n\n## ✈️ Travel & Transportation\n\nServers providing data or services related to flights, trains, transportation APIs, or travel planning.\n\n- [RikGmee\u002FsearchAPI-mcp](https:\u002F\u002Fgithub.com\u002FRikGmee\u002FsearchAPI-mcp): Facilitates complex travel planning by integrating flight, hotel, and map services through a multi-context protocol server.\n- [achel-b8\u002Frakuten-hotel-search-mcp](https:\u002F\u002Fgithub.com\u002Fachel-b8\u002Frakuten-hotel-search-mcp): Facilitates hotel availability searches using Rakuten Travel's API, providing results based on specified criteria such as check-in dates and location.\n- [ralf-boltshauser\u002Fsbb-mcp-server](https:\u002F\u002Fgithub.com\u002Fralf-boltshauser\u002Fsbb-mcp-server): A TypeScript starter project for building MCP servers with an echo server implementation, supporting both STDIO and SSE communication modes.\n- [Joooook\u002F12306-mcp](https:\u002F\u002Fgithub.com\u002FJoooook\u002F12306-mcp): Facilitates 12306 ticket searches using a simple API interface based on the Model Context Protocol.\n- [variflight\u002Fvariflight-mcp](https:\u002F\u002Fgithub.com\u002Fvariflight\u002Fvariflight-mcp): Facilitates querying flight information, weather data, and flight comfort metrics for Variflight services.\n- [cevatkerim\u002Fchargenow-mcp](https:\u002F\u002Fgithub.com\u002Fcevatkerim\u002Fchargenow-mcp): Facilitates AI assistants in locating and providing real-time status of EV charging stations using the ChargeNow API.\n- [amith-vp\u002Findian-railway-mcp](https:\u002F\u002Fgithub.com\u002Famith-vp\u002Findian-railway-mcp): Facilitates seamless access to Indian Railway data, including train searches, seat availability, and live status updates, through Claude Desktop integration.\n- [rajprem4214\u002Findian-railways-mcp](https:\u002F\u002Fgithub.com\u002Frajprem4214\u002Findian-railways-mcp): Provides real-time station status and train information for Indian Railways using the Model Context Protocol.\n- [JordanDalton\u002FDoorDash-MCP-Server](https:\u002F\u002Fgithub.com\u002FJordanDalton\u002FDoorDash-MCP-Server): Facilitates integration with DoorDash through a customizable MCP server setup.\n- [kennyfong19931\u002Fmcp-hk-transport-eta](https:\u002F\u002Fgithub.com\u002Fkennyfong19931\u002Fmcp-hk-transport-eta): Facilitates real-time public transport ETA retrieval in Hong Kong via an MCP server.\n- [harimkang\u002Fmcp-korea-tourism-api](https:\u002F\u002Fgithub.com\u002Fharimkang\u002Fmcp-korea-tourism-api): Empower AI assistants to explore South Korea's tourism offerings using the Korea Tourism API, providing detailed insights into attractions, events, and accommodations.\n- [donghyun-chae\u002Fmcp-amadeus](https:\u002F\u002Fgithub.com\u002Fdonghyun-chae\u002Fmcp-amadeus): Integrates with the Amadeus Flight Offers Search API to enable natural language flight searches through MCP-compatible clients.\n- [opspawn\u002FGoogle-Flights-MCP-Server](https:\u002F\u002Fgithub.com\u002Fopspawn\u002FGoogle-Flights-MCP-Server): Interact with Google Flights data using the fast_flights library to fetch and analyze flight information.\n- [hrishabhn\u002Fflight-mcp](https:\u002F\u002Fgithub.com\u002Fhrishabhn\u002Fflight-mcp): Facilitates flight queries and bookings using the RapidAPI Skyscanner API through the Model Context Protocol.\n- [birariro\u002Fagoda-review-mcp](https:\u002F\u002Fgithub.com\u002Fbirariro\u002Fagoda-review-mcp): Facilitates LLMs in retrieving and aggregating Agoda hotel reviews for enhanced decision-making.\n- [arjunkmrm\u002Fsg-lta-mcp](https:\u002F\u002Fgithub.com\u002Farjunkmrm\u002Fsg-lta-mcp): Access real-time transportation data from Singapore's Land Transport Authority via an MCP server.\n- [Cyreslab-AI\u002Fflightradar24-mcp-server](https:\u002F\u002Fgithub.com\u002FCyreslab-AI\u002Fflightradar24-mcp-server): Provides real-time flight tracking data from Flightradar24 via a Model Context Protocol server.\n- [kennyckk\u002Fmcp_hkbus](https:\u002F\u002Fgithub.com\u002Fkennyckk\u002Fmcp_hkbus): Provides real-time access to Hong Kong's KMB and Long Win Bus route information and arrival times for Language Models.\n- [pab1it0\u002Ftripadvisor-mcp](https:\u002F\u002Fgithub.com\u002Fpab1it0\u002Ftripadvisor-mcp): Facilitates AI-driven exploration of Tripadvisor's location data, reviews, and photos via standardized MCP interfaces.\n- [Cyreslab-AI\u002Fflightradar-mcp-server](https:\u002F\u002Fgithub.com\u002FCyreslab-AI\u002Fflightradar-mcp-server): Provides real-time flight tracking and status information using the AviationStack API.\n- [Abiorh001\u002Fmcp_ev_assistant_server](https:\u002F\u002Fgithub.com\u002FAbiorh001\u002Fmcp_ev_assistant_server): Facilitates efficient management of EV charging stations and trip planning with robust APIs and interactive tools.\n- [smamidipaka6\u002Fflights-mcp-server](https:\u002F\u002Fgithub.com\u002Fsmamidipaka6\u002Fflights-mcp-server): Connects AI agents to Google Flights data for retrieving comprehensive flight information, finding the cheapest options, and filtering by time constraints.\n- [openbnb-org\u002Fmcp-server-airbnb](https:\u002F\u002Fgithub.com\u002Fopenbnb-org\u002Fmcp-server-airbnb): Facilitates Airbnb listing searches and detailed information retrieval without requiring an API key, while respecting robots.txt rules.\n- [salamentic\u002Fgoogle-flights-mcp](https:\u002F\u002Fgithub.com\u002Fsalamentic\u002Fgoogle-flights-mcp): Facilitates travel agent-level flight planning using the fast-flights API, offering seamless integration with Claude Desktop.\n- [piddlingtuna\u002Ftfnsw-realtime-alerts-mcp-server](https:\u002F\u002Fgithub.com\u002Fpiddlingtuna\u002Ftfnsw-realtime-alerts-mcp-server): Facilitates AI-driven access to real-time transport alerts from Transport for NSW, enhancing LLM capabilities with up-to-date disruption information.\n- [tomekkorbak\u002Fstrava-mcp-server](https:\u002F\u002Fgithub.com\u002Ftomekkorbak\u002Fstrava-mcp-server): Access Strava athlete activities data via a Model Context Protocol server, enabling language models to query recent and historical activity details.\n- [jason-tan-swe\u002Frailway-mcp](https:\u002F\u002Fgithub.com\u002Fjason-tan-swe\u002Frailway-mcp): Facilitates seamless integration with Railway.app, enabling natural language management of deployments, services, and variables.\n- [arjunkmrm\u002Fmcp-sg-lta](https:\u002F\u002Fgithub.com\u002Farjunkmrm\u002Fmcp-sg-lta): Provides real-time transportation data from Singapore's LTA DataMall API, including bus arrivals, train alerts, and traffic incidents.\n- [lumile\u002Flumbretravel-mcp](https:\u002F\u002Fgithub.com\u002Flumile\u002Flumbretravel-mcp): Facilitates seamless integration with the LumbreTravel API for managing travel programs and activities.\n- [MariyaFilippova\u002Fmcp-strava](https:\u002F\u002Fgithub.com\u002FMariyaFilippova\u002Fmcp-strava): Facilitates seamless integration between Strava APIs and Claude for Desktop, enabling efficient interaction with Strava activity data.\n\n## 🔧 Utilities & Helpers\n\nServers providing simple, general-purpose tools like time\u002Fdate information, calculators, dice rollers, formatters, unit converters, UUID generation, etc.\n\n- [FlatFilers\u002Fmcp-server-flatfile](https:\u002F\u002Fgithub.com\u002FFlatFilers\u002Fmcp-server-flatfile): Facilitates interaction with the Flatfile API through a customizable MCP server, enabling streamlined data management and integration.\n- [Nozomuts\u002Fdate-mcp](https:\u002F\u002Fgithub.com\u002FNozomuts\u002Fdate-mcp): Provides current date and time in specified formats and timezones via a simple MCP server.\n- [BrightLin\u002Fmcp-server-port-cleaner](https:\u002F\u002Fgithub.com\u002FBrightLin\u002Fmcp-server-port-cleaner): Node.js server for resolving port conflicts by terminating processes occupying specified ports, ensuring smooth development workflows.\n- [raymondlowe\u002Froo-code-custom-mode-editor-mcp-server](https:\u002F\u002Fgithub.com\u002Fraymondlowe\u002Froo-code-custom-mode-editor-mcp-server): Facilitates editing of Roo Code custom modes by providing tools to list, create, and modify mode fields without direct file manipulation.\n- [LittleFatz\u002Fmcp-demo](https:\u002F\u002Fgithub.com\u002FLittleFatz\u002Fmcp-demo): Facilitates file operations like counting, searching, and content analysis through an MCP server, enabling LLMs to access and interact with the filesystem.\n- [shivaji43\u002Fgibwork-mcp](https:\u002F\u002Fgithub.com\u002Fshivaji43\u002Fgibwork-mcp): Facilitates task management on the GibWork platform using the Model Context Protocol.\n- [dotku\u002Fmcpm](https:\u002F\u002Fgithub.com\u002Fdotku\u002Fmcpm): Manage and configure multiple MCP servers with ease, supporting filesystem operations and SSE server integration.\n- [adarshem\u002Fmcp-server-learn](https:\u002F\u002Fgithub.com\u002Fadarshem\u002Fmcp-server-learn): A Node.js-based MCP server offering weather alerts and forecasts using the US National Weather Service API.\n- [dynstat\u002Fagents-mcp-clients](https:\u002F\u002Fgithub.com\u002Fdynstat\u002Fagents-mcp-clients): Facilitates file system operations via a server-client architecture using MCP.\n- [Kr8thor\u002Fn8n-mcp-tool](https:\u002F\u002Fgithub.com\u002FKr8thor\u002Fn8n-mcp-tool): Facilitates the management of n8n workflows within Docker containers, offering tools for listing, updating, and troubleshooting workflows.\n- [va99\u002Fnapier](https:\u002F\u002Fgithub.com\u002Fva99\u002Fnapier): Napier facilitates the installation of MCP servers through prompt-based commands, streamlining the setup process for npm and PyPi hosted servers.\n- [Masa1984a\u002Fjrhokkaido_train_info](https:\u002F\u002Fgithub.com\u002FMasa1984a\u002Fjrhokkaido_train_info): Provides real-time train operation information for JR Hokkaido, including delays and cancellations, across various regions.\n- [helebest\u002Fmy-mcp-lab](https:\u002F\u002Fgithub.com\u002Fhelebest\u002Fmy-mcp-lab): Facilitates the setup and execution of an SSE MCP server for seamless integration with various desktop applications.\n- [vitolrosario\u002Fhttp-request-mcp](https:\u002F\u002Fgithub.com\u002Fvitolrosario\u002Fhttp-request-mcp): Facilitates HTTP requests using the MCP server, supporting various HTTP methods for streamlined web interactions.\n- [bsmnyk\u002Fmkslides-mcp](https:\u002F\u002Fgithub.com\u002Fbsmnyk\u002Fmkslides-mcp): Facilitates the creation of HTML slides from Markdown using the mkslides library, integrated via the Model Context Protocol.\n- [qianO33\u002Fmcp-excel-server](https:\u002F\u002Fgithub.com\u002FqianO33\u002Fmcp-excel-server): Facilitates Excel file operations through a Node.js server using the Model Context Protocol.\n- [Jerry-is-coder\u002Fmcp-excel-controller-pro](https:\u002F\u002Fgithub.com\u002FJerry-is-coder\u002Fmcp-excel-controller-pro): Facilitates advanced Excel file manipulation, including reading, writing, and sheet management, within a Node.js environment.\n- [tuki0918\u002Feagle-mcp-server](https:\u002F\u002Fgithub.com\u002Ftuki0918\u002Feagle-mcp-server): Facilitates seamless integration with the Eagle app through a Model Context Protocol server, enabling efficient management of folders and items.\n- [sam-trost\u002Fmcp-server-svgl](https:\u002F\u002Fgithub.com\u002Fsam-trost\u002Fmcp-server-svgl): Processes and validates SVG content using SVGL, offering repository access and detailed error reporting.\n- [ndlxp2008\u002Fwrite_emoji_mcp](https:\u002F\u002Fgithub.com\u002Fndlxp2008\u002Fwrite_emoji_mcp): A CLI tool that enhances Markdown documents with emojis, making them more engaging and lively.\n- [protagolabs\u002FNetmind-Parse-PDF-MCP](https:\u002F\u002Fgithub.com\u002Fprotagolabs\u002FNetmind-Parse-PDF-MCP): Transforms PDF files from URLs into structured JSON or Markdown formats using Netmind's MCP server.\n- [devjiel\u002Fmcp-echo-server](https:\u002F\u002Fgithub.com\u002Fdevjiel\u002Fmcp-echo-server): An MCP server that echoes back text messages for testing and development purposes.\n- [ASJordi\u002Fwhois-mcp](https:\u002F\u002Fgithub.com\u002FASJordi\u002Fwhois-mcp): Provides WHOIS lookup functionality through a standardized interface using the Model Context Protocol.\n- [rims-dev\u002FRIMS-MCP](https:\u002F\u002Fgithub.com\u002Frims-dev\u002FRIMS-MCP): Facilitates the retrieval of RIMS information through a dedicated MCP server.\n- [nguyendinhsinh361\u002Fsupergateway-sinhnd](https:\u002F\u002Fgithub.com\u002Fnguyendinhsinh361\u002Fsupergateway-sinhnd): Supergateway facilitates running MCP stdio-based servers over SSE or WebSockets, enabling seamless remote access and integration with web-based clients.\n- [tvriesde\u002Fmcp-license-check](https:\u002F\u002Fgithub.com\u002Ftvriesde\u002Fmcp-license-check): Provides vehicle data based on Dutch license plates through a simple MCP server.\n- [WeatherXM\u002Fweatherxm-pro-mcp](https:\u002F\u002Fgithub.com\u002FWeatherXM\u002Fweatherxm-pro-mcp): Access WeatherXM PRO APIs for weather data and forecasts via MCP tools.\n- [trutohq\u002Ftruto-mcp-stdio](https:\u002F\u002Fgithub.com\u002Ftrutohq\u002Ftruto-mcp-stdio): A command-line interface proxy facilitating communication between JSON-RPC messages and HTTP Streamable MCP servers.\n- [veithly\u002Fipfs-uploader](https:\u002F\u002Fgithub.com\u002Fveithly\u002Fipfs-uploader): A TypeScript-based MCP server for uploading images to IPFS, featuring a simple notes system with text note creation and summarization tools.\n- [OpenSourceGuru776\u002Fconsist](https:\u002F\u002Fgithub.com\u002FOpenSourceGuru776\u002Fconsist): Markdownify transforms diverse file types and web content into Markdown format, enhancing readability and shareability.\n\n- [IteraTools](https:\u002F\u002Fapi.iteratools.com): Cloud-hosted multi-tool MCP API providing 34+ capabilities through a single endpoint: image generation (Flux), web scraping, TTS, OCR, browser automation, sandboxed code execution, DNS lookup, WHOIS, weather, crypto, QR codes, charts, and more. Pay-per-use with x402 micropayment protocol.\n\n## 🔄 Version Control\n\nServers interacting with version control systems and platforms for repository management, issues, pull requests, etc.\n\n- [alvnavraii\u002FMCPGithub](https:\u002F\u002Fgithub.com\u002Falvnavraii\u002FMCPGithub): Facilitates efficient and secure GitHub repository management through MCP integration, offering comprehensive tools for repository, branch, and pull request operations.\n- [SLineroDev\u002Fgithub-releases-mcp](https:\u002F\u002Fgithub.com\u002FSLineroDev\u002Fgithub-releases-mcp): Manage and analyze GitHub repository releases with detailed comparisons and rich formatting.\n- [Ryan0204\u002Fgithub-repo-mcp](https:\u002F\u002Fgithub.com\u002FRyan0204\u002Fgithub-repo-mcp): Facilitates AI assistants in browsing, exploring, and viewing contents of GitHub repositories.\n- [Svtter\u002Fgit-mcp](https:\u002F\u002Fgithub.com\u002FSvtter\u002Fgit-mcp): Facilitates git command processing through an MCP service, leveraging FastMCP for efficient repository management.\n- [ukiuni\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002Fukiuni\u002Fmcp-git): Facilitates the execution of Git commands via an MCP server, enabling seamless integration with various MCP clients.\n- [MrOrz\u002Fmcp-git-commit-aider](https:\u002F\u002Fgithub.com\u002FMrOrz\u002Fmcp-git-commit-aider): Facilitates AI-driven git commits by appending '(aider)' to track AI contributions in codebases.\n- [SiddheshDongare\u002FGIT-Pilot](https:\u002F\u002Fgithub.com\u002FSiddheshDongare\u002FGIT-Pilot): GIT-Pilot streamlines GitHub management with a FastMCP-based server, offering secure and efficient automation for repository, pull request, and issue operations.\n- [0010aor\u002Fmcp-pr-pilot](https:\u002F\u002Fgithub.com\u002F0010aor\u002Fmcp-pr-pilot): Enhances pull request workflows by generating PR descriptions, commit messages, and code reviews using LLMs based on code changes.\n- [4workspace\u002FCursor-MCP-test](https:\u002F\u002Fgithub.com\u002F4workspace\u002FCursor-MCP-test): Facilitates GitHub integration within Cursor IDE using the Model Control Protocol for streamlined repository management.\n- [marcusdb\u002Fgithub-mcp-server-ts](https:\u002F\u002Fgithub.com\u002Fmarcusdb\u002Fgithub-mcp-server-ts): Enhances GitHub API interactions with advanced file operations, repository management, and search capabilities.\n- [jesulim\u002Fnew](https:\u002F\u002Fgithub.com\u002Fjesulim\u002Fnew): Facilitates GitHub API interactions for file operations, repository management, and advanced search capabilities.\n- [BirajMainali\u002Fgit-committer-mcp-server](https:\u002F\u002Fgithub.com\u002FBirajMainali\u002Fgit-committer-mcp-server): Facilitates automated generation and staging of commit messages by analyzing Git changes.\n- [Adit-999\u002Fgitlab-mcp](https:\u002F\u002Fgithub.com\u002FAdit-999\u002Fgitlab-mcp): Facilitates AI-driven interactions with GitLab, enabling operations on repositories, issues, and merge requests with both synchronous and asynchronous execution.\n- [aniketsingh98571\u002Fgithub-mcp](https:\u002F\u002Fgithub.com\u002Faniketsingh98571\u002Fgithub-mcp): Facilitates seamless interaction with GitHub's API through a Model Control Protocol interface, enabling efficient repository management and user information retrieval.\n- [musthafa-mohammed\u002Fmvn-repo-mcp](https:\u002F\u002Fgithub.com\u002Fmusthafa-mohammed\u002Fmvn-repo-mcp): Facilitates AI-driven IDEs to interact with Maven Central for package search, version listings, and vulnerability checks.\n- [stephanj\u002FGitHubMCP](https:\u002F\u002Fgithub.com\u002Fstephanj\u002FGitHubMCP): Facilitates LLM agents' interaction with GitHub resources through a Model Context Protocol server.\n- [daoch4n\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002Fdaoch4n\u002Fmcp-git): A TypeScript-based MCP server that facilitates Git operations by managing text notes with URIs and metadata, offering tools for note creation and summarization prompts.\n- [ravi-accolite\u002Fmcpserver](https:\u002F\u002Fgithub.com\u002Fravi-accolite\u002Fmcpserver): Facilitates seamless integration between LLM applications and version control systems like GitHub and GitLab, enhancing automation and management capabilities.\n- [Foxhunt\u002Fgitlab-mcp-server](https:\u002F\u002Fgithub.com\u002FFoxhunt\u002Fgitlab-mcp-server): A TypeScript-based server for managing and interacting with GitLab data, including projects, issues, and wiki pages.\n- [Ghraven\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002FGhraven\u002Fgithub-mcp-server): Facilitates advanced automation and interaction with GitHub APIs for developers and tools.\n- [axlwolf\u002Fgithub-mcp](https:\u002F\u002Fgithub.com\u002Faxlwolf\u002Fgithub-mcp): Facilitates GitHub API interactions for file operations, repository management, and advanced search capabilities.\n- [ZephyrDeng\u002Fmcp-server-gitlab](https:\u002F\u002Fgithub.com\u002FZephyrDeng\u002Fmcp-server-gitlab): Integrates GitLab RESTful API tools with platforms like Claude and Smithery, enabling seamless project management and collaboration.\n- [rose201107059\u002Fremote-mcp-github-oauth](https:\u002F\u002Fgithub.com\u002Frose201107059\u002Fremote-mcp-github-oauth): A remote MCP server with integrated GitHub OAuth, deployable on Cloudflare, enabling secure user authentication and tool access for connected clients.\n- [goern\u002Fforgejo-mcp](https:\u002F\u002Fgithub.com\u002Fgoern\u002Fforgejo-mcp): Facilitates interaction with the Forgejo REST API, enhancing issue management and repository operations on Codeberg.\n- [ces-hongvo\u002Fgithub-mcp-client](https:\u002F\u002Fgithub.com\u002Fces-hongvo\u002Fgithub-mcp-client): Demonstrates integration of Spring AI with MCP servers for tool execution and chat capabilities in a Spring Boot application.\n- [Aeron-cell\u002Fgit-mcp-options](https:\u002F\u002Fgithub.com\u002FAeron-cell\u002Fgit-mcp-options): Enhances Git operations with a standardized interface for AI assistants, integrating seamlessly with the MCP ecosystem.\n- [kich555\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002Fkich555\u002Fgithub-mcp-server): Facilitates GitHub API interactions for file operations, repository management, and advanced search capabilities.\n- [KarakuriAgent\u002Fkarakuri_git_mcp](https:\u002F\u002Fgithub.com\u002FKarakuriAgent\u002Fkarakuri_git_mcp): Facilitates Git repository interaction and automation through a Model Context Protocol server, enabling operations like reading, searching, and manipulating repositories via Large Language Models.\n- [kwanLeeFrmVi\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002FkwanLeeFrmVi\u002Fmcp-git): Facilitates Git repository interaction and automation through a Model Context Protocol server, enabling operations like reading, searching, and manipulating repositories via Large Language Models.\n- [rahul-roy-glean\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002Frahul-roy-glean\u002Fgithub-mcp-server): Facilitates seamless integration with GitHub's API for file operations, repository management, and search functionalities within CI workflows.\n","# 令人惊叹的 MCP 服务器 ![Awesome](https:\u002F\u002Fcdn.rawgit.com\u002Fsindresorhus\u002Fawesome\u002Fd7305f38d29fed78fa85652e3a63e154dd8e8829\u002Fmedia\u002Fbadge.svg)\n\n[![官网](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWebsite-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https:\u002F\u002Ftensorblock.co)\n[![Twitter](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Ftensorblock_aoi?style=social)](https:\u002F\u002Ftwitter.com\u002Ftensorblock_aoi)\n[![Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-Join%20Us-5865F2?logo=discord&logoColor=white)](https:\u002F\u002Fdiscord.gg\u002FyefvtqDd2w)\n[![🤗 Hugging Face](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FHuggingFace-TensorBlock-yellow?logo=huggingface&logoColor=white)](https:\u002F\u002Fhuggingface.co\u002Ftensorblock)\n[![Telegram](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FTelegram-Group-blue?logo=telegram)](https:\u002F\u002Ft.me\u002FTensorBlock)\n\n\u003Cdiv style=\"text-align: left; margin: 20px 0;\">\n    \u003Ca href=\"https:\u002F\u002Fdiscord.com\u002Finvite\u002FEj5NmeHFf2\" style=\"display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;\">\n        加入我们的 Discord，了解更多关于我们正在构建的内容 ↗\n    \u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003Cdiv style=\"text-align: left; margin: 20px 0;\">\n    \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fforge\" style=\"display: inline-block; padding: 10px 20px; background-color: #24292e; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;\">\n         ✨✨✨ 了解 Forge — 一个简化 AI 模型提供商管理的开源中间件服务。✨✨✨\n    \u003C\u002Fa>\n\u003C\u002Fdiv>\n一份全面且由社区维护的 [模型上下文协议 (MCP)](https:\u002F\u002Fmodelcontextprotocol.io) 服务器集合——涵盖 AI 助手、浏览器自动化、数据库、云平台、开发者工具等众多领域。\n\n> **什么是 MCP？** 模型上下文协议是一种开放标准，允许 AI 模型安全地连接到外部工具、API、数据库和文件系统。可以把它想象成 AI 的 USB-C 接口——一种任何模型都可以用来与世界交互的通用接口。\n\n## 覆盖范围\n\n截至 2025 年 5 月 30 日，本仓库目前收录了 **7260 个 MCP 服务器**。由于空间有限，我们仅在每个类别中展示最近新增的 30 个服务器。\n\n## 如何贡献\n\n我们欢迎各位提交！要添加你的 MCP 服务器：\n\n1. 克隆并 fork 此仓库\n2. 按照现有格式将你的服务器添加到 `README.md` 中的相关类别：\n   ```\n   - [服务器名称](https:\u002F\u002Fgithub.com\u002Fowner\u002Frepo) - 简短的一句话描述。\n   ```\n3. 提交 Pull Request — 我们会定期审核\n\n**提交指南：**\n- 服务器必须是公开可访问的（开源项目或具有公共端点的托管服务）\n- 提交前请先搜索列表，避免重复\n- 请将条目放置在最相关的类别中\n\n## 服务器分类\n\n- 🤖 - [AI 与 LLM 集成](#-ai--llm-integration)\n- 🎨 - [艺术、文化与媒体](#-art-culture--media)\n- 🌐 - [浏览器自动化与网页抓取](#-browser-automation--web-scraping)\n- 🏗️ - [构建与部署工具](#️-build--deployment-tools)\n- ☁️ - [云平台与服务](#️-cloud-platforms--services)\n- ✨ - [代码分析与质量](#-code-analysis--quality)\n- 💻 - [代码执行](#-code-execution)\n- 💬 - [通信与消息](#-communication--messaging)\n- 📝 - [内容管理系统](#-content-management-systems)\n- 📊 - [数据分析与商业智能](#-data-analysis--business-intelligence)\n- 🗄️ - [数据库](#️-databases)\n- 🛠️ - [开发者生产力与实用工具](#️-developer-productivity--utilities)\n- 📁 - [文件系统](#-filesystems)\n- 💰 - [金融与加密货币](#-finance--crypto)\n- 🧰 - [框架](#-frameworks)\n- 🎮 - [游戏](#-gaming)\n- ⚙️ - [硬件与物联网](#️-hardware--iot)\n- ❤️ - [医疗与生命科学](#️-healthcare--life-sciences)\n- 🏛️ - [基础设施](#️-infrastructure)\n- 🧠 - [知识管理与记忆](#-knowledge-management--memory)\n- 🗺️ - [位置与地图](#️-location--maps)\n- 📈 - [营销、销售与 CRM](#-marketing-sales--crm)\n- 📡 - [监控与可观ility](#-monitoring--observability)\n- 🖼️ - [多媒体处理](#️-multimedia-processing)\n- 🖥️ - [操作系统与命令行](#️-operating-system--command-line)\n- ✅ - [项目与任务管理](#-project--task-management)\n- 🔬 - [科学与研究](#-science--research)\n- 🔎 - [搜索](#-search)\n- 🔒 - [安全](#-security)\n- 📱 - [社交媒体与内容平台](#-social-media--content-platforms)\n- ⚽ - [体育](#-sports)\n- ✈️ - [旅行与交通](#️-travel--transportation)\n- 🔧 - [实用工具与助手](#-utilities--helpers)\n- 🔄 - [版本控制](#-version-control)\n\n## 🤖 AI 与 LLM 集成\n\n与其它 AI 模型、AI 平台、RAG 工具、提示管理或代理框架集成的服务器。\n\n- [ToolRouter](https:\u002F\u002Ftoolrouter.com) - 通过一个账户即可按需访问150多种工具，为您的AI代理赋予超强能力。只需一个API密钥，便无需再管理数十个供应商账户。`npx -y toolrouter-mcp`\n- [bh-rat\u002Fcontext-awesome](https:\u002F\u002Fgithub.com\u002Fbh-rat\u002Fcontext-awesome) - 用于查询8,500多个精选的awesome列表（超过100万项内容）并为您的代理获取最佳资源的MCP服务器。\n- [spranab\u002Fbrainstorm-mcp](https:\u002F\u002Fgithub.com\u002Fspranab\u002Fbrainstorm-mcp) - 多模型（GPT、DeepSeek、Groq、Ollama等）之间的多轮AI头脑风暴辩论。让不同的LLM相互对抗，从多元视角探索创意。\n- [deadpixel\u002Froundtable-dashboard](https:\u002F\u002Fgithub.com\u002Fdeadpixel\u002Froundtable-dashboard): 带有远程MCP服务器的多模型AI辩论平台。GPT-4o、Claude、Gemini等200多种模型在结构化轮次中讨论提示，并通过`https:\u002F\u002Fmcp.roundtable.now\u002Fmcp`上的可流式HTTP接口整合集体洞见。\n- [comitest22\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fcomitest22\u002Flinear-mcp): 通过模型上下文协议服务器促进与Linear API的交互，提供工单管理和优先级排序工具。\n- [stephenlb\u002Fpubnub-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephenlb\u002Fpubnub-mcp-server): 利用基于CLI的MCP服务器，在Cursor IDE中便捷地访问PubNub SDK和Functions文档。\n- [Ankit2533\u002Fresearch](https:\u002F\u002Fgithub.com\u002FAnkit2533\u002Fresearch): 一款多智能体深度研究工具，借助MCP结合Linkup和CrewAI编排，执行全面的网络搜索。\n- [CDataSoftware\u002Fcdata-jdbc-mcp-server](https:\u002F\u002Fgithub.com\u002FCDataSoftware\u002Fcdata-jdbc-mcp-server): 通过只读MCP接口，利用自然语言经由CData JDBC驱动程序查询300多种数据源的实时数据。\n- [kylewoolstenhulme-block\u002FNotion-Goose-MCP](https:\u002F\u002Fgithub.com\u002Fkylewoolstenhulme-block\u002FNotion-Goose-MCP): 通过MCP服务器实现与Notion API的无缝交互，支持自动化内容管理和集成。\n- [Ankit2533\u002Fmulti-agentic_deepresearch](https:\u002F\u002Fgithub.com\u002FAnkit2533\u002Fmulti-agentic_deepresearch): 一款多智能体深度研究工具，利用MCP协调AI代理进行协作式深度网络搜索和知识整合。\n- [drdeeks\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fdrdeeks\u002Fremote-mcp-server): 在Cloudflare Workers上部署带有OAuth登录的远程MCP服务器，实现与Claude Desktop等工具的无缝集成。\n- [raj-mehra\u002Fjira-mcp](https:\u002F\u002Fgithub.com\u002Fraj-mehra\u002Fjira-mcp): 将Jira与MCP集成，使用灵活框架获取和搜索工单详情。\n- [AlexShan2008\u002Fmcp-claude-weather](https:\u002F\u002Fgithub.com\u002FAlexShan2008\u002Fmcp-claude-weather): 提供来自美国国家气象局的实时天气预警和预报，与Claude for Desktop无缝集成。\n- [expensivefav\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fexpensivefav\u002Fmcp): 通过实验性MCP服务器促进与Algolia API的交互，支持搜索和数据操作任务。\n- [vinodismyname\u002Fredshift-utils-mcp](https:\u002F\u002Fgithub.com\u002Fvinodismyname\u002Fredshift-utils-mcp): 促进AI驱动的Amazon Redshift交互，通过AWS Data API实现安全的数据查询和诊断。\n- [frostming\u002Fopenweather-mcp](https:\u002F\u002Fgithub.com\u002Ffrostming\u002Fopenweather-mcp): 通过模型上下文协议服务器从OpenWeather.org获取天气数据。\n- [jasiekkk\u002Fjan-stripe](https:\u002F\u002Fgithub.com\u002Fjasiekkk\u002Fjan-stripe): 在Cloudflare Workers上部署无认证的远程MCP服务器，实现与Cloudflare AI Playground及本地MCP客户端的无缝集成。\n- [MartinPSDev\u002Fcurl-mcp](https:\u002F\u002Fgithub.com\u002FMartinPSDev\u002Fcurl-mcp): 将自然语言指令转换为curl命令，支持英语和西班牙语，以实现流畅的HTTP请求。\n- [natifridman\u002Fstocks-mcp](https:\u002F\u002Fgithub.com\u002Fnatifridman\u002Fstocks-mcp): 使用Python风格的MCP服务器框架，从Google Finance获取实时股票信息。\n- [dithom\u002Fshopware-mcp](https:\u002F\u002Fgithub.com\u002Fdithom\u002Fshopware-mcp): 利用LLM处理支持工单和插件版本，自动修复Shopware插件中的问题。\n- [shankarpriyank\u002Fremote-mcp-server-authless](https:\u002F\u002Fgithub.com\u002Fshankarpriyank\u002Fremote-mcp-server-authless): 在Cloudflare Workers上部署无认证的远程MCP服务器，实现与Cloudflare AI Playground及本地MCP客户端的无缝集成。\n- [slot181\u002Fopenapi-integrator-mcp](https:\u002F\u002Fgithub.com\u002Fslot181\u002Fopenapi-integrator-mcp): 通过兼容OpenAI的API促进高质量图像生成，提供标准化界面以指定图像参数。\n- [kukapay\u002Fcrypto-rss-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fcrypto-rss-mcp): 汇总多个RSS源的实时加密货币新闻，帮助AI代理做出明智的市场决策。\n- [AlekseyKapustyanenko\u002FNihFix.Postgres.Mcp](https:\u002F\u002Fgithub.com\u002FAlekseyKapustyanenko\u002FNihFix.Postgres.Mcp): 利用SSE和STDIO协议，促进AI代理与PostgreSQL数据库的实时交互。\n- [CrewAakash\u002Fmcp-server-for-copilot](https:\u002F\u002Fgithub.com\u002FCrewAakash\u002Fmcp-server-for-copilot): 使Microsoft Copilot Studio代理与MCP兼容客户端无缝集成，保持对话上下文并支持有状态交互。\n- [xiaok\u002Fetherscan-mcp](https:\u002F\u002Fgithub.com\u002Fxiaok\u002Fetherscan-mcp): 通过动态MCP服务器实现与Etherscan API的无缝交互。\n- [qingshanyuluo\u002Fprometheus-mcp-server](https:\u002F\u002Fgithub.com\u002Fqingshanyuluo\u002Fprometheus-mcp-server): 精简版Prometheus MCP服务器，专为指标收集和AI友好型分析设计。\n- [falahgs\u002FMCP-Storybook-Image-Generator](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FMCP-Storybook-Image-Generator): 使用Google的Gemini AI生成故事书插图及匹配的儿童故事，提供多种艺术风格和即时预览。\n- [MCP-Reasoner\u002FMCP-Reasoner](https:\u002F\u002Fgithub.com\u002FMCP-Reasoner\u002FMCP-Reasoner): 将Google的OR-Tools与大型语言模型结合，通过模型上下文协议进行约束求解和优化。\n- [AzureDevOpsAPI\u002FAzure-DevOps](https:\u002F\u002Fgithub.com\u002FAzureDevOpsAPI\u002FAzure-DevOps): 促进AI驱动的Azure DevOps API交互，通过自然语言指令实现无缝的项目管理和DevOps工作流。\n- [Excoriate\u002Fmcp-terraform-aws-provider-docs](https:\u002F\u002Fgithub.com\u002FExcoriate\u002Fmcp-terraform-aws-provider-docs): 提供Terraform AWS Provider文档的上下文信息和资源，使AI代理能够直接从源头查询最新数据。\n- [tangshuang\u002Fmcp-bone](https:\u002F\u002Fgithub.com\u002Ftangshuang\u002Fmcp-bone): 促进与MCP Bone的连接，用于工具注册并将LLM完成文本解析为工具调用。\n- [belljustin\u002Fspotify-mcp](https:\u002F\u002Fgithub.com\u002Fbelljustin\u002Fspotify-mcp): 通过模型上下文协议服务器在Spotify上创建播放列表，与Cursor无缝集成，提升用户体验。\n- [Zerg00s\u002Fserver-sharepoint](https:\u002F\u002Fgithub.com\u002FZerg00s\u002Fserver-sharepoint): 使用SharePoint REST API，通过Claude Desktop实现与SharePoint Online的交互。\n\n## 🎨 艺术、文化与媒体\n\n与博物馆、媒体数据库、图片\u002F视频托管平台或创意内容平台的 API 进行交互的服务端。\n\n- [ourongxing\u002Fnewsnow-mcp-server](https:\u002F\u002Fgithub.com\u002Fourongxing\u002Fnewsnow-mcp-server)：通过 NewsNow 的专用 MCP 服务器，方便访问超过 40 家新闻源。\n- [trevhud\u002Fvibe-mcp](https:\u002F\u002Fgithub.com\u002Ftrevhud\u002Fvibe-mcp)：基于编码上下文生成音乐，支持多种音频后端并实现无缝播放。\n- [eluc1a\u002Fmcp-news](https:\u002F\u002Fgithub.com\u002Feluc1a\u002Fmcp-news)：从数据库中获取分类新闻文章，使客户端能够检索和总结最新内容。\n- [Toos00\u002Ffreepik-mcp-server](https:\u002F\u002Fgithub.com\u002FToos00\u002Ffreepik-mcp-server)：使用 Model Context Protocol 协议，方便与 Freepik.com 的图片和矢量搜索 API 进行交互。\n- [chatmcp\u002Fheybeauty-mcp](https:\u002F\u002Fgithub.com\u002Fchatmcp\u002Fheybeauty-mcp)：借助 HeyBeauty API 管理和执行服装资源的虚拟试穿任务，提供虚拟试穿体验。\n- [kokushin\u002Fexia-mcp](https:\u002F\u002Fgithub.com\u002Fkokushin\u002Fexia-mcp)：以 Kotoha Sisters 解说格式生成并显示 exia 视觉小说引擎的场景文件。\n- [molmolkky\u002Fprompt-character-mcp-server](https:\u002F\u002Fgithub.com\u002Fmolmolkky\u002Fprompt-character-mcp-server)：通过 MCP 服务器，方便从漫画《Kingdom》中的角色欧奇那里获取经典语录。\n- [enggpt-it\u002FMCP-Server-Cybersecurity-News](https:\u002F\u002Fgithub.com\u002Fenggpt-it\u002FMCP-Server-Cybersecurity-News)：无缝集成 Claude Desktop，访问来自不同网站的最新网络安全资讯。\n- [NFTGo\u002Fmcp-nftgo-api](https:\u002F\u002Fgithub.com\u002FNFTGo\u002Fmcp-nftgo-api)：方便与 NFTGo 开发者 API 无缝交互，为基于 Ethereum 的 NFT 提供全面的数据和分析服务。\n- [Lala-0x3f\u002Fmj-mcp](https:\u002F\u002Fgithub.com\u002FLala-0x3f\u002Fmj-mcp)：通过 MCP 服务器接口，方便使用 Midjourney 进行图像生成。\n- [JayArrowz\u002Fmcp-osrs](https:\u002F\u002Fgithub.com\u002FJayArrowz\u002Fmcp-osrs)：通过 Model Context Protocol 服务器，方便与 Old School RuneScape Wiki API 和游戏数据文件进行交互。\n- [RohitMidha23\u002Fyoutube-mcp](https:\u002F\u002Fgithub.com\u002FRohitMidha23\u002Fyoutube-mcp)：帮助 LLM 从 YouTube 视频中提取和分析字幕，用于内容处理。\n- [Otto-J\u002Fpodcast-xyzrank-mcp](https:\u002F\u002Fgithub.com\u002FOtto-J\u002Fpodcast-xyzrank-mcp)：利用 MCP 访问精选播客排行榜，提供播客推荐服务。\n- [miyamo2\u002Fhotpepper-gourmet-mcp-server](https:\u002F\u002Fgithub.com\u002Fmiyamo2\u002Fhotpepper-gourmet-mcp-server)：通过 Hot Pepper Gourmet API，方便进行美食搜索和区域查询。\n- [Antipas\u002F4oimage-mcp](https:\u002F\u002Fgithub.com\u002FAntipas\u002F4oimage-mcp)：集成 4o-image API，通过文本提示实现 AI 驱动的图像生成和编辑。\n- [sunqirui1987\u002Fae-mcp](https:\u002F\u002Fgithub.com\u002Fsunqirui1987\u002Fae-mcp)：通过标准化的 MCP 接口，让 AI 助手控制 Adobe After Effects，提供对合成、图层和效果的广泛功能。\n- [lieyanqzu\u002Fygocdb-mcp](https:\u002F\u002Fgithub.com\u002Flieyanqzu\u002Fygocdb-mcp)：方便与 YGO 中文卡牌数据库 API 交互，提供卡牌信息检索和图片访问工具。\n- [dbeltra\u002Fscryfall-mcp](https:\u002F\u002Fgithub.com\u002Fdbeltra\u002Fscryfall-mcp)：对接 Scryfall API，获取并展示详细的万智牌卡牌数据。\n- [Kota8102\u002Faws-weekly-news-mcp](https:\u002F\u002Fgithub.com\u002FKota8102\u002Faws-weekly-news-mcp)：通过专用 MCP 服务器，方便访问日本“Weekly AWS”博客文章。\n- [x0x0b\u002Fmcp-nicovideo-snapshot-search](https:\u002F\u002Fgithub.com\u002Fx0x0b\u002Fmcp-nicovideo-snapshot-search)：利用 Snapshot Search API，在 Nicovideo 上进行视频搜索。\n- [nvsofts\u002Fjlcpcb-parts-mcp](https:\u002F\u002Fgithub.com\u002Fnvsofts\u002Fjlcpcb-parts-mcp)：通过专用 MCP 服务器，方便为 JLCPCB PCBA 搜索元件。\n- [Ukenn2112\u002FBangumiMCP](https:\u002F\u002Fgithub.com\u002FUkenn2112\u002FBangumiMCP)：方便与 BangumiTV 的 API 交互，获取动漫、漫画、音乐和游戏相关数据。\n- [falahgs\u002Fgemini-vision-art-studio](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fgemini-vision-art-studio)：Gemini Vision Art Studio 利用 Google Gemini AI 生成 3D 卡通，并以艺术风格转换图像。\n- [0010aor\u002Fmcp-mtg-assistant](https:\u002F\u002Fgithub.com\u002F0010aor\u002Fmcp-mtg-assistant)：使用 Scryfall API 获取万智牌卡牌详情，辅助规则查询和卡牌信息检索。\n- [cmathgit\u002Fbiblegateway-votd-mcp](https:\u002F\u002Fgithub.com\u002Fcmathgit\u002Fbiblegateway-votd-mcp)：无需 API 密钥即可访问 BibleGateway 当日经文的多种语言和版本。\n- [Tok\u002FSuperColliderMCP](https:\u002F\u002Fgithub.com\u002FTok\u002FSuperColliderMCP)：通过 OSC 消息在 SuperCollider 中实现 AI 驱动的音频合成与处理，支持动态声音生成及与 AI 开发环境的集成。\n- [raj-mehra\u002Ffigma-mcp](https:\u002F\u002Fgithub.com\u002Fraj-mehra\u002Ffigma-mcp)：通过提取设计令牌和组件，方便与 Cursor IDE 集成，从而与 Figma 设计文件交互。\n- [opensourcedev90s\u002Fuk-science-museum-group-mcp](https:\u002F\u002Fgithub.com\u002Fopensourcedev90s\u002Fuk-science-museum-group-mcp)：通过基于 Python 的 MCP 服务器，帮助 LLM 从英国科学博物馆集团 API 中获取数据。\n- [AnshulDalua\u002Fillustrator-mcp](https:\u002F\u002Fgithub.com\u002FAnshulDalua\u002Fillustrator-mcp)：通过 MCP 在 Adobe Illustrator 中执行脚本，利用 JavaScript 和 AppleScript 在 MacOS 上运行。\n- [hugeicons\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fhugeicons\u002Fmcp-server)：通过提供工具、资源和针对不同平台的指南，方便 Hugeicons 在各类平台上无缝集成，助力 AI 助手应用。\n\n## 🌐 浏览器自动化与网页抓取\n\n使用浏览器控制、自动化工具以及从网站上提取内容的服务端。\n\n- [Custodia-Admin\u002Fpagebolt-mcp](https:\u002F\u002Fgithub.com\u002FCustodia-Admin\u002Fpagebolt-mcp)：通过 REST API 和 MCP 提供托管式网页捕获与浏览器自动化服务。支持截图、生成 PDF、获取 Open Graph 图片、多步骤序列操作、AI 配音视频录制以及页面检查（CSS 选择器 + 元素映射，供 AI 代理使用）。原生兼容 Claude Desktop、Cursor 和 Windsurf。\n- [giannisalinetti\u002Fpython-mcp-server](https:\u002F\u002Fgithub.com\u002Fgiannisalinetti\u002Fpython-mcp-server)：利用 Podman 进行容器管理，为基于 LLM 的网络爬取任务提供 Python 代码执行环境。\n- [opentabs-dev\u002Fopentabs](https:\u002F\u002Fgithub.com\u002Fopentabs-dev\u002Fopentabs)：一款插件驱动的 MCP 服务器，允许 AI 代理通过用户已认证的浏览器会话访问 Web 应用程序。配套 Chrome 扩展包含 100 多个插件，适用于 Slack、Discord、GitHub、Reddit 等平台。\n- [mhazarabad\u002Fbrowser-use-mcp](https:\u002F\u002Fgithub.com\u002Fmhazarabad\u002Fbrowser-use-mcp)：使用 Browser Use API 自动化浏览器任务，提供任务管理和监控功能。\n- [1999AZZAR\u002Fmcp-server-google-search](https:\u002F\u002Fgithub.com\u002F1999AZZAR\u002Fmcp-server-google-search)：通过结构化的 MCP 服务器接口实现 Google Programmable Search Engine 查询，增强与 Claude Desktop 的集成。\n- [luminati-io\u002Fweb-scraping-with-mcp](https:\u002F\u002Fgithub.com\u002Fluminati-io\u002Fweb-scraping-with-mcp)：借助 Bright Data 集成，将 Anthropic 的 LLM 与外部网页抓取工具连接，用于真实场景下的数据提取。\n- [magicp-mhl\u002Fnewsnow](https:\u002F\u002Fgithub.com\u002Fmagicp-mhl\u002Fnewsnow)：通过自适应爬取和 MCP 服务器支持，实现优雅的实时新闻阅读，并确保无缝集成。\n- [regenrek\u002Fdeepwiki-mcp](https:\u002F\u002Fgithub.com\u002Fregenrek\u002Fdeepwiki-mcp)：将 Deepwiki 内容抓取并转换为 Markdown 格式，供 LLM 使用，同时确保领域安全性和高效爬取。\n- [yan5236\u002Fbing-cn-mcp-server](https:\u002F\u002Fgithub.com\u002Fyan5236\u002Fbing-cn-mcp-server)：一款中文版必应搜索工具，利用 MCP 与 Claude 等 AI 工具无缝集成，无需 API 密钥即可直接进行必应搜索并获取网页内容。\n- [w1561778301\u002Fmcp-playwright-test](https:\u002F\u002Fgithub.com\u002Fw1561778301\u002Fmcp-playwright-test)：通过生成和执行 UI 及 API 测试用例，并提供详细报告，实现 Playwright 测试的自动化。\n- [ai-dashboad\u002Fflutter-skill](https:\u002F\u002Fgithub.com\u002Fai-dashboad\u002Fflutter-skill)：一款面向任何应用的 AI 驱动端到端测试桥梁。支持 Flutter、iOS、Android、Web、Electron、Tauri、KMP、React Native 和 .NET MAUI。\n- [xinlei413\u002FDOC-Server-MCP](https:\u002F\u002Fgithub.com\u002Fxinlei413\u002FDOC-Server-MCP)：采用多功能爬取技术和智能处理方法，结合混合搜索能力，抓取并检索第三方包文档。\n- [kxkaloo\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fkxkaloo\u002Fmcp)：借助 Scrapezy MCP 服务器，使 AI 模型能够从网站中提取结构化数据。\n- [eadm\u002Fgrain-mcp-server](https:\u002F\u002Fgithub.com\u002Feadm\u002Fgrain-mcp-server)：通过浏览器自动化技术，绕过企业级 API 限制，实现与 Grain 平台的集成，用于会议录制和转录。\n- [jobsonlook\u002Fxhs-mcp](https:\u002F\u002Fgithub.com\u002Fjobsonlook\u002Fxhs-mcp)：通过逆向工程 JavaScript 技术，无需 Playwright 即可访问和管理小红书上的笔记与评论，从而实现与小红书的交互。\n- [mohdsuhail007\u002FVerbilioMCP](https:\u002F\u002Fgithub.com\u002Fmohdsuhail007\u002FVerbilioMCP)：利用 Verbilio MCP 服务器与 GitHub 无缝集成，简化工作流自动化流程。\n- [myzxlin\u002Fredbook-mcp](https:\u002F\u002Fgithub.com\u002Fmyzxlin\u002Fredbook-mcp)：借助 Playwright 实现浏览器自动化，自动发布文字和视频笔记至小红书。\n- [larryhudson\u002Fmcp-server-example-image-block](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Fmcp-server-example-image-block)：基于 Lorem Picsum API 提供随机图片获取服务，以图像块形式展示 MCP 服务器的功能。\n- [Elvis720\u002Fmcp-agent](https:\u002F\u002Fgithub.com\u002FElvis720\u002Fmcp-agent)：利用 Playwright 的无障碍树，为 LLM 提供浏览器自动化支持，实现无需视觉模型的结构化网页交互。\n- [xinlei413\u002FMCP-DOC-Server-OpenRouter](https:\u002F\u002Fgithub.com\u002Fxinlei413\u002FMCP-DOC-Server-OpenRouter)：凭借先进的混合搜索能力，高效抓取、处理和检索第三方包文档。\n- [thomasvan\u002Fmcp-brave-search](https:\u002F\u002Fgithub.com\u002Fthomasvan\u002Fmcp-brave-search)：通过 Model Context Protocol 服务器，实现 AI 助手与 Brave Search 的集成。\n- [oddlyspaced\u002Fultimate-android-mcp](https:\u002F\u002Fgithub.com\u002Foddlyspaced\u002Fultimate-android-mcp)：通过全面的 MCP 服务器，赋能 LLM 自主管理和与 Android 设备交互。\n- [kengerlwl\u002FphoneMcp](https:\u002F\u002Fgithub.com\u002Fkengerlwl\u002FphoneMcp)：使 AI 助手能够通过 ADB 控制 Android 手机。支持零配置技能模式（CatPaw\u002FClaude Code）和标准 MCP 服务器模式（Claude Desktop\u002FCursor）。功能包括屏幕截图、点击\u002F滑动手势、文本输入、应用管理、文件传输和 Shell 命令。\n- [ronantakizawa\u002Fa11ymcp](https:\u002F\u002Fgithub.com\u002Fronantakizawa\u002Fa11ymcp)：借助 Deque Axe-core API 和 Puppeteer，赋能 LLM 进行全面的网页无障碍性测试。\n- [hamibot\u002Fhamibot-mcp-server](https:\u002F\u002Fgithub.com\u002Fhamibot\u002Fhamibot-mcp-server)：与 Hamibot API 集成，提供设备和脚本管理工具，包括在指定设备上执行自定义 JavaScript。\n- [YantaoMou\u002Fmcp_droid](https:\u002F\u002Fgithub.com\u002FYantaoMou\u002Fmcp_droid)：通过标准化接口，使大型语言模型能够直接控制和操作 Android 设备。\n- [LuckyXYJ\u002Fmcp_ios_project](https:\u002F\u002Fgithub.com\u002FLuckyXYJ\u002Fmcp_ios_project)：专为 iOS 项目配置的 MCP 服务器，使用 Python 脚本执行服务器任务。\n- [ying-dao\u002Fyingdao_mcp_server](https:\u002F\u002Fgithub.com\u002Fying-dao\u002Fyingdao_mcp_server)：赋能 YingDao AI Power 及其他 MCP 主机执行 RPA 任务，支持 SSE 和 Stdio 两种服务器模式。\n- [catinair\u002Faipower-rpa-mcp-server](https:\u002F\u002Fgithub.com\u002Fcatinair\u002Faipower-rpa-mcp-server)：促进 YindDao AI Power 与 RPA 工具之间的无缝对接，实现 AI 驱动的自动化工作流。\n- [bneil\u002Fmcp-go-colly](https:\u002F\u002Fgithub.com\u002Fbneil\u002Fmcp-go-colly)：一个复杂的网络爬虫框架，将 MCP 与 Colly 结合，用于 LLM 应用中的灵活且可扩展的网页内容提取。\n- [ertugrul59\u002Ftradingview-chart-mcp](https:\u002F\u002Fgithub.com\u002Fertugrul59\u002Ftradingview-chart-mcp)：根据股票代码和时间周期输入，抓取 TradingView 图表图像，便于与 MCP 客户端无缝集成。\n- [sungithubid\u002Fmcp-url2markdown](https:\u002F\u002Fgithub.com\u002Fsungithubid\u002Fmcp-url2markdown)：利用 MCP 服务器功能，将给定 URL 的网页内容转换为整洁、格式化的 Markdown 文档。\n- [NexusX-MCP\u002Fdata-mcp-server](https:\u002F\u002Fgithub.com\u002FNexusX-MCP\u002Fdata-mcp-server)：集网页抓取、数据提取和浏览器自动化于一体，可与 OpenAI 的 CUA 和 Anthropic 的 Claude 等代理集成。\n- [korwabs\u002Fplaywright-trace-mcp](https:\u002F\u002Fgithub.com\u002Fkorwabs\u002Fplaywright-trace-mcp)：通过添加跟踪查看器和视频录制功能，提升 Playwright 的浏览器自动化能力，使 LLM 能够通过结构化数据与网页互动。\n- [bzsasson\u002Fscreaming-frog-mcp](https:\u002F\u002Fgithub.com\u002Fbzsasson\u002Fscreaming-frog-mcp)：与 Screaming Frog SEO Spider 集成，用于网站爬取、SEO 数据导出以及通过 AI 助手管理爬取存储。\n- [achiya-automation\u002Fsafari-mcp](https:\u002F\u002Fgithub.com\u002Fachiya-automation\u002Fsafari-mcp)：通过 AppleScript 实现原生 Safari 浏览器自动化，供 AI 代理使用——包含 80 种工具，无额外开销，可保持登录状态并在后台静默运行。仅限 macOS。\n- [yifanyifan897645\u002Fwebcheck-mcp](https:\u002F\u002Fgithub.com\u002Fyifanyifan897645\u002Fwebcheck-mcp)：网站健康检查 MCP 服务器，提供 SEO 审计、无障碍性扫描、失效链接检测和性能分析功能。\n- [yifanyifan897645\u002Fdeadlink-checker-mcp](https:\u002F\u002Fgithub.com\u002Fyifanyifan897645\u002Fdeadlink-checker-mcp)：网站失效链接检查 MCP 服务器，可检测失效链接、重定向和超时问题，并生成详细报告。\n\n## 🏗️ 构建与部署工具\n\n与构建系统、容器化、CI\u002FCD 或部署平台交互的服务器。\n\n- [zenoengine\u002Fmsbuild-mcp-server](https:\u002F\u002Fgithub.com\u002Fzenoengine\u002Fmsbuild-mcp-server)：通过动态发现和可自定义配置自动构建 MSBuild 项目，与各类 MCP 客户端无缝集成。\n- [radostkali\u002Fgitlab-mcp-server](https:\u002F\u002Fgithub.com\u002Fradostkali\u002Fgitlab-mcp-server)：使用 FastMCP 实现 GitLab 集成，简化代码审查和仓库管理流程。\n- [rianvdm\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Frianvdm\u002Fremote-mcp-server)：在 Cloudflare Workers 上部署带有 OAuth 登录的远程 MCP 服务器，并将其连接到 Claude Desktop，实现工具的无缝集成。\n- [gabelul\u002Fperplexity-mcp](https:\u002F\u002Fgithub.com\u002Fgabelul\u002Fperplexity-mcp)：一款智能研究助手，利用 Perplexity 的 AI 模型自动检测查询复杂度并选择最优模型进行处理。\n- [yoda-digital\u002Fhorologic-mcp](https:\u002F\u002Fgithub.com\u002Fyoda-digital\u002Fhorologic-mcp)：Horologic MCP 是一个用于时间和时区操作的 TypeScript 服务器，可与 Claude Desktop 等兼容 MCP 的客户端无缝集成。\n- [Miura55\u002Ffastapi-mcp-workshop](https:\u002F\u002Fgithub.com\u002FMiura55\u002Ffastapi-mcp-workshop)：一个使用 FastAPI 实现 MCP 的示例代码工作坊，便于与 mcp-proxy 集成。\n- [hipposys-ltd\u002Fairflow-mcp](https:\u002F\u002Fgithub.com\u002Fhipposys-ltd\u002Fairflow-mcp)：通过自定义 MCP 服务器，利用自然语言查询和故障排除功能增强 Apache Airflow 的管理能力。\n- [aYenx\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FaYenx\u002Fremote-mcp-server)：在 Cloudflare Workers 上部署带有 OAuth 登录的远程 MCP 服务器，实现与 Claude Desktop 和 MCP Inspector 的无缝集成。\n- [kaeosdesign\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fkaeosdesign\u002Fremote-mcp-server)：在 Cloudflare Workers 上部署并管理带有 OAuth 登录和 Claude Desktop 集成的远程 MCP 服务器。\n- [vistaarjuneja\u002Fharness-mcp](https:\u002F\u002Fgithub.com\u002Fvistaarjuneja\u002Fharness-mcp)：通过 Model Context Protocol 服务器，方便在 Harness 平台中管理连接器。\n- [ankit1057\u002Fnexuscontroller](https:\u002F\u002Fgithub.com\u002Fankit1057\u002Fnexuscontroller)：NexusController 提供支持 MCP 的高级 Android 自动化功能，实现与 AI 的无缝集成，从而进行强大的设备控制和 UI 测试。\n- [yodablocks\u002Fmcp-installer.0](https:\u002F\u002Fgithub.com\u002Fyodablocks\u002Fmcp-installer.0)：借助 Claude 工具，从 npm 或 PyPI 安装 MCP 服务器，简化服务器部署流程。\n- [akr4\u002Fclaude-code-mcp-docker](https:\u002F\u002Fgithub.com\u002Fakr4\u002Fclaude-code-mcp-docker)：一个运行 Claude Code MCP 服务器的 Docker 容器，具备增强的安全特性，包括网络防火墙以防止未经授权的出站连接。\n- [sakomws\u002Fmcp-cf-deploy](https:\u002F\u002Fgithub.com\u002Fsakomws\u002Fmcp-cf-deploy)：在 Cloudflare Workers 上部署带有 OAuth 登录的远程 MCP 服务器，并将其连接到 Claude Desktop，实现工具的无缝集成。\n- [hiroooo000\u002Fmydockers](https:\u002F\u002Fgithub.com\u002Fhiroooo000\u002Fmydockers)：在 Docker 化的 MCP 服务器环境中使用 Playwright 进行浏览器自动化。\n- [dandacompany\u002Fwebhook-trigger](https:\u002F\u002Fgithub.com\u002Fdandacompany\u002Fwebhook-trigger)：基于 FastMCP 框架实现动态 Webhook 发送，支持多种 HTTP 方法和自定义头部。\n- [base\u002Fbase-builder-mcp](https:\u002F\u002Fgithub.com\u002Fbase\u002Fbase-builder-mcp)：便于与 Base Docs 集成 Model Context Protocol，实现与 Base Builders 的无缝交互。\n- [snowsky\u002Fmcp-helmfile](https:\u002F\u002Fgithub.com\u002Fsnowsky\u002Fmcp-helmfile)：通过标准化的 MCP 接口执行和管理 Helmfile 命令，提升 AI 辅助的部署和配置效率。\n- [buildkite\u002Fbuildkite-mcp-server](https:\u002F\u002Fgithub.com\u002Fbuildkite\u002Fbuildkite-mcp-server)：提供对 Buildkite 管道、构建和作业数据的访问权限，便于与 Claude Desktop 和 GitHub Copilot 等工具集成。\n- [bsmith925\u002Fmcp-examples](https:\u002F\u002Fgithub.com\u002Fbsmith925\u002Fmcp-examples)：探索面向团队的 MCP 服务器的部署配置和自定义实现，重点在于 Git 仓库管理和 Kubernetes 部署。\n- [misanthropic-ai\u002Flean-docker-mcp](https:\u002F\u002Fgithub.com\u002Fmisanthropic-ai\u002Flean-docker-mcp)：在隔离的 Docker 容器中运行 Lean4 代码，为 LLM 驱动的代理提供临时或持久环境。\n- [kappaexpress\u002Fdocker-mcp](https:\u002F\u002Fgithub.com\u002Fkappaexpress\u002Fdocker-mcp)：通过使用 Playwright 构建的 Docker 镜像，实现 MCP 服务器与 Claude Desktop 的集成。\n- [aaomidi\u002Fmcp-bazel](https:\u002F\u002Fgithub.com\u002Faaomidi\u002Fmcp-bazel)：提供构建、测试和依赖分析工具，方便与 Bazel 项目交互。\n- [ThomasRohde\u002Fmcp_server_manager](https:\u002F\u002Fgithub.com\u002FThomasRohde\u002Fmcp_server_manager)：一个后端 Python 应用程序，提供 Model Context Protocol 接口和 FastAPI Web 界面，用于管理与 Claude Desktop 集成的 MCP 服务器。\n- [addozhang\u002Fspring-rest-to-mcp](https:\u002F\u002Fgithub.com\u002Faddozhang\u002Fspring-rest-to-mcp)：利用 OpenRewrite 配方，轻松将 Spring Web REST API 转换为 MCP 服务器工具，实现与 AI 的无缝集成。\n- [gunpal5\u002FQuickMCP](https:\u002F\u002Fgithub.com\u002Fgunpal5\u002FQuickMCP)：QuickMCP 允许使用 OpenAPI、Swagger 或 Google Discovery 规范，结合 .NET 快速创建和部署 MCP 服务器。\n- [Drew-Goddyn\u002Fbuildkite-mcp](https:\u002F\u002Fgithub.com\u002FDrew-Goddyn\u002Fbuildkite-mcp)：通过提供一个用于检索和管理构建信息的微服务，实现与 Buildkite 的无缝集成。\n- [thepragmatik\u002Fmcp-server-jvm-build-tools](https:\u002F\u002Fgithub.com\u002Fthepragmatik\u002Fmcp-server-jvm-build-tools)：通过 MCP 服务器实现与 Apache Maven 的自然语言交互，简化项目构建流程。\n- [f-inc\u002Fcontainerinc-mcp](https:\u002F\u002Fgithub.com\u002Ff-inc\u002Fcontainerinc-mcp)：自动化部署至 Container Inc.，提供临时且免费的部署能力。\n- [cpecf\u002Fdocker-mcp](https:\u002F\u002Fgithub.com\u002Fcpecf\u002Fdocker-mcp)：通过 Claude AI 集成，实现 Docker 容器和 Compose 堆栈的管理。\n\n## ☁️ 云平台与服务\n\n与主流云服务商或特定云服务集成的服务器。\n\n- [doma2k\u002Fmonad-contract-deployment-mcp](https:\u002F\u002Fgithub.com\u002Fdoma2k\u002Fmonad-contract-deployment-mcp)：简化 Monad 生态系统中智能合约的编译与部署流程，支持直接通过聊天指令或兼容的 MCP 客户端进行交互。\n- [adrianmonad\u002FMonDeployer](https:\u002F\u002Fgithub.com\u002Fadrianmonad\u002FMonDeployer)：利用 AI 和 MCP 集成，将 Solidity 合约部署至 Monad 测试网。\n- [groovyBugify\u002Faws-security-mcp](https:\u002F\u002Fgithub.com\u002FgroovyBugify\u002Faws-security-mcp)：将 AI 助手连接到 AWS 安全服务，实现自主安全分析与威胁建模。\n- [joeseesun\u002Fqiniu-mcp-joe](https:\u002F\u002Fgithub.com\u002Fjoeseesun\u002Fqiniu-mcp-joe)：简化文件上传至七牛云存储的过程，提供无缝的媒体资产管理集成。\n- [Tencent\u002Fcos-mcp](https:\u002F\u002Fgithub.com\u002FTencent\u002Fcos-mcp)：无需编码即可实现大模型与腾讯云对象存储（COS）及数据处理（CI）能力的无缝集成。\n- [Azure\u002Fblue-bridge](https:\u002F\u002Fgithub.com\u002FAzure\u002Fblue-bridge)：通过 MCP 服务器以零密钥认证方式查询和管理 Azure 资源，支持 Azure Managed Grafana、Azure 数据资源管理器等服务。\n- [oliverbenns\u002Fdigitalocean-mcp](https:\u002F\u002Fgithub.com\u002Foliverbenns\u002Fdigitalocean-mcp)：使用 Model Context Protocol 管理和监控 DigitalOcean 应用平台的部署及告警。\n- [Ropz3\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FRopz3\u002Fremote-mcp-server)：在 Cloudflare Workers 上部署并管理远程 MCP 服务器，支持 OAuth 登录及与 Claude Desktop 的集成。\n- [curious-pm\u002Fmcp-google_cloud_billing](https:\u002F\u002Fgithub.com\u002Fcurious-pm\u002Fmcp-google_cloud_billing)：实现与 Google Cloud Billing API 的集成，使 AI 助手能够高效分析和管理云成本。\n- [curious-pm\u002Fmcp-digital_ocean_billing](https:\u002F\u002Fgithub.com\u002Fcurious-pm\u002Fmcp-digital_ocean_billing)：无缝对接 Digital Ocean 的 Billing API，提供查看账户余额、账单历史及发票等功能。\n- [bizflycloud\u002Fbizflycloud-mcp-server](https:\u002F\u002Fgithub.com\u002Fbizflycloud\u002Fbizflycloud-mcp-server)：通过 mark3labs\u002Fmcp-go SDK 连接 Bizfly Cloud，实现全面的云资源管理。\n- [JCallico\u002Fpy-az-mcp](https:\u002F\u002Fgithub.com\u002FJCallico\u002Fpy-az-mcp)：通过 Azure CLI 命令实现与 Azure 服务的无缝集成，支持多种云操作。\n- [leeb003\u002Fsupabase-mcp](https:\u002F\u002Fgithub.com\u002Fleeb003\u002Fsupabase-mcp)：基于 FastAPI 的 MCP 服务器支持对 Supabase 数据库的 CRUD 操作，确保与 Cursor 的无缝集成。\n- [noahseger\u002Fcf-example-remote-mcp-server](https:\u002F\u002Fgithub.com\u002Fnoahseger\u002Fcf-example-remote-mcp-server)：在 Cloudflare Workers 上部署远程 MCP 服务器，支持 OAuth 登录，并连接 Claude Desktop 以实现工具的无缝集成。\n- [nhc\u002Fcloudflare-remote-mcp-server](https:\u002F\u002Fgithub.com\u002Fnhc\u002Fcloudflare-remote-mcp-server)：在 Cloudflare Workers 上部署远程 MCP 服务器，支持 OAuth 登录并与 Claude Desktop 集成。\n- [sanxxit\u002Fmy-aws-cost-explorer](https:\u002F\u002Fgithub.com\u002Fsanxxit\u002Fmy-aws-cost-explorer)：通过 MCP 服务器实现 AWS 支出分析与可视化，结合 Anthropic 的 Claude 模型支持自然语言查询。\n- [sanxxit\u002FAWS-cost-explorer-with-MCP-server](https:\u002F\u002Fgithub.com\u002Fsanxxit\u002FAWS-cost-explorer-with-MCP-server)：利用 Anthropic 的 Claude 模型，通过交互式界面实现 AWS 支出的分析与可视化。\n- [Collaborne\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002FCollaborne\u002Fmcp-server)：促进大型语言模型与 NEXT 结构化数据之间的交互，支持提取摘要和聚类等功能。\n- [trilliwon\u002Flion-mcp-server](https:\u002F\u002Fgithub.com\u002Ftrilliwon\u002Flion-mcp-server)：在 Cloudflare Workers 上部署远程 MCP 服务器，支持 OAuth 登录，并与 Claude Desktop 集成。\n- [jhgaylor\u002Fme_mcp_server](https:\u002F\u002Fgithub.com\u002Fjhgaylor\u002Fme_mcp_server)：通过 Model Context Protocol 服务器实现个性化求职与个人资料管理。\n- [bocchiczennie\u002Faws-monthly-cost-report-mcp-server](https:\u002F\u002Fgithub.com\u002Fbocchiczennie\u002Faws-monthly-cost-report-mcp-server)：通过 MCP 服务器生成 AWS 月度成本报告，与 Claude Desktop 无缝对接。\n- [roboulos\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Froboulos\u002Fremote-mcp-server)：基于 Cloudflare Workers 和 Xano 的远程 MCP 服务器，用于高效管理工具、会话跟踪及 OAuth 集成。\n- [anandkumarpatel\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fanandkumarpatel\u002Fremote-mcp-server)：在 Cloudflare Workers 上部署远程 MCP 服务器，支持 OAuth 登录，便于与 Claude Desktop 等工具集成。\n- [Arodoid\u002FFastlyMCP](https:\u002F\u002Fgithub.com\u002FArodoid\u002FFastlyMCP)：Fastly MCP 将 Fastly 的 API 与 AI 助手集成，通过 Model Context Protocol 实现 CDN 服务、缓存、安全及性能监控的无缝管理。\n- [tumf\u002Ffastmcp-gsuite](https:\u002F\u002Fgithub.com\u002Ftumf\u002Ffastmcp-gsuite)：基于 fastmcp 的服务器实现与 Gmail 和 Google 日历的无缝交互，支持多账号及高级邮件和日历管理功能。\n- [atalhens\u002Fntnx-mcp](https:\u002F\u002Fgithub.com\u002Fatalhens\u002Fntnx-mcp)：通过命令行聊天机器人界面管理 Nutanix 虚拟机，集成 Nutanix AI LLM 端点，并支持动态工具集成。\n- [aradtamako\u002FDnfApiServer](https:\u002F\u002Fgithub.com\u002Faradtamako\u002FDnfApiServer)：通过 MCP 服务器设置与 DNF API 的交互，支持与 Copilot 和 Claude 等工具的无缝集成。\n- [bittush8789\u002FMCP](https:\u002F\u002Fgithub.com\u002Fbittush8789\u002FMCP)：从美国国家气象局 API 获取天气数据，提供获取实时警报和短期预报的工具。\n- [antymijaljevic\u002Fk8s-doc-mcp](https:\u002F\u002Fgithub.com\u002Fantymijaljevic\u002Fk8s-doc-mcp)：基于 Python 的 MCP 服务器，利用 Model Context Protocol SDK 管理和总结便签信息。\n- [stephenlacy\u002Fmcp-proxy](https:\u002F\u002Fgithub.com\u002Fstephenlacy\u002Fmcp-proxy)：一款基于 Rust 的快速代理，为 MCP 服务器实现 stdio 与 SSE 之间的双向通信。\n\n## ✨ 代码分析与质量\n\n专注于静态分析、代码检查、代码度量、安全扫描、漏洞检测或代码质量评估的服务器。\n\n- [DeusData\u002Fcodebase-memory-mcp](https:\u002F\u002Fgithub.com\u002FDeusData\u002Fcodebase-memory-mcp)：最快的代码智能MCP服务器——在3分钟内索引Linux内核（2800万行代码），结构化查询响应时间小于1毫秒。以66种语言构建包含调用链、HTTP路由和跨服务链接的持久知识图谱，令牌消耗减少120倍。单个静态二进制文件，可即插即用，适配10种编码助手。\n- [dhylan01\u002FMCP_OA](https:\u002F\u002Fgithub.com\u002Fdhylan01\u002FMCP_OA)：通过识别Python和TypeScript\u002FTSX文件中的函数使用情况，帮助AI助手分析代码。\n- [angrysky56\u002Fast-mcp-server](https:\u002F\u002Fgithub.com\u002Fangrysky56\u002Fast-mcp-server)：利用AST和ASG对多种编程语言进行代码结构与语义分析，增强Claude Desktop的代码分析能力。\n- [joaomj\u002Fcode-reviewer-mcp](https:\u002F\u002Fgithub.com\u002Fjoaomj\u002Fcode-reviewer-mcp)：通过MCP集成，使用AI模型自动审查GitHub拉取请求中的代码。\n- [shaydo-deriv\u002Fgo-archer](https:\u002F\u002Fgithub.com\u002Fshaydo-deriv\u002Fgo-archer)：Go Archer提供包依赖关系的可视化表示，并可作为MCP服务器用于依赖分析。\n- [RaRdq\u002FRR.MCP](https:\u002F\u002Fgithub.com\u002FRaRdq\u002FRR.MCP)：借助PowerShell脚本提取接口、模型和数据结构，促进AI驱动的.NET项目分析。\n- [mettamatt\u002Fcode-reasoning](https:\u002F\u002Fgithub.com\u002Fmettamatt\u002Fcode-reasoning)：通过结构化、顺序化的思维将复杂编程任务分解为可管理的步骤，从而提升Claude的问题解决能力。\n- [jpheimonen\u002Fcode-oracle](https:\u002F\u002Fgithub.com\u002Fjpheimonen\u002Fcode-oracle)：Code Oracle利用AI结合Gemini 2.5 Flash高效定位大型代码库中的代码，并无缝集成为Cursor中的MCP服务器。\n- [FuelLabs\u002Ffuel-mcp-server](https:\u002F\u002Fgithub.com\u002FFuelLabs\u002Ffuel-mcp-server)：通过先进的语义搜索功能，实现IDE与Fuel Network和Sway语言文档的无缝集成。\n- [AB498\u002Fcode-context-provider-mcp](https:\u002F\u002Fgithub.com\u002FAB498\u002Fcode-context-provider-mcp)：使用WebAssembly Tree-sitter解析器提取目录结构和代码符号，为AI助手提供代码上下文与分析。\n- [alesr\u002Fgh-self-reviewer](https:\u002F\u002Fgithub.com\u002Falesr\u002Fgh-self-reviewer)：基于Go的Anthropic MCP服务器，结合Claude AI实现GitHub拉取请求的自我审查。\n- [lq0910\u002Fvuesage](https:\u002F\u002Fgithub.com\u002Flq0910\u002Fvuesage)：VueSage通过智能分析与优化提升Vue组件质量，利用MCP与编辑器无缝集成。\n- [Bamimore-Tomi\u002Fghidra_mcp](https:\u002F\u002Fgithub.com\u002FBamimore-Tomi\u002Fghidra_mcp)：将Ghidra转化为逆向工程后端，提取反编译后的二进制数据，并通过MCP暴露给LLM。\n- [aidalinfo\u002Fmcp-clean-code](https:\u002F\u002Fgithub.com\u002Faidalinfo\u002Fmcp-clean-code)：通过全面的英文注释，助力规划和编写整洁、结构良好的代码，注重可读性和可维护性。\n- [DocNR\u002Frepo-explorer](https:\u002F\u002Fgithub.com\u002FDocNR\u002Frepo-explorer)：借助高级缓存和跨仓库代码模式搜索，高效探索与分析Git仓库，并与Claude AI无缝集成。\n- [yy1588133\u002Fcode-merge-mcp](https:\u002F\u002Fgithub.com\u002Fyy1588133\u002Fcode-merge-mcp)：使用Model Context Protocol为大型语言模型提取、合并和分析代码文件。\n- [davidleathers113\u002Ftypescript-analyzer-mcp](https:\u002F\u002Fgithub.com\u002Fdavidleathers113\u002Ftypescript-analyzer-mcp)：通过智能分析将TypeScript代码库中的“any”类型替换为具体类型，同时提供React组件接口生成和高级错误处理功能。\n- [Vulert](https:\u002F\u002Fwww.vulert.com)：Vulert通过检测开源依赖中的漏洞来保障软件安全，无需访问您的代码。支持Js、PHP、Java、Python等多种语言。\n- [priyankark\u002Fa11y-mcp](https:\u002F\u002Fgithub.com\u002Fpriyankark\u002Fa11y-mcp)：使用axe-core对网页进行全面的可访问性审计，并与AI助手无缝集成，以解决a11y问题。\n- [hanqizheng\u002Funit-test-generator-mcp-server](https:\u002F\u002Fgithub.com\u002Fhanqizheng\u002Funit-test-generator-mcp-server)：利用MCP协议为组件库生成单元测试。\n- [crisschan\u002Fmcp-jacoco-reporter](https:\u002F\u002Fgithub.com\u002Fcrisschan\u002Fmcp-jacoco-reporter)：将JaCoCo代码覆盖率报告转换为AI友好的格式，以便进行更深入的分析与洞察。\n- [Tomatio13\u002Fsoftware-checker-mcp](https:\u002F\u002Fgithub.com\u002FTomatio13\u002Fsoftware-checker-mcp)：为Git仓库提供全面的质量检查和发布说明生成服务，同时进行安全风险分析。\n- [smadi0x86\u002FGDB-MCP](https:\u002F\u002Fgithub.com\u002Fsmadi0x86\u002FGDB-MCP)：通过MCP服务器接口，实现LLM驱动的GDB调试与分析。\n- [Ixe1\u002Fcode-scanner-server](https:\u002F\u002Fgithub.com\u002FIxe1\u002Fcode-scanner-server)：一款多功能工具，可用于扫描代码文件、提取定义并输出适合LLM的格式，既可作为CLI工具使用，也可作为MCP服务器运行。\n- [mobilehackinglab\u002Fjadx-mcp-plugin](https:\u002F\u002Fgithub.com\u002Fmobilehackinglab\u002Fjadx-mcp-plugin)：通过MCP在HTTP上桥接Jadx API，使Claude能够访问反编译器，从而实时交互反编译后的代码。\n- [first-to-fly\u002Fcode-cleanup](https:\u002F\u002Fgithub.com\u002Ffirst-to-fly\u002Fcode-cleanup)：一个Bun TypeScript项目，提供基于Google生成式AI的代码清理Model Context Protocol服务器，具备备份、自定义提示词和专业格式化等功能。\n- [hloiseaufcms\u002Fmcp-gopls](https:\u002F\u002Fgithub.com\u002Fhloiseaufcms\u002Fmcp-gopls)：促进AI助手与Go语言服务器协议的交互，以增强代码分析和导航能力。\n- [irvinebroque\u002Frepro-root-mcp-issue](https:\u002F\u002Fgithub.com\u002Firvinebroque\u002Frepro-root-mcp-issue)：在Cloudflare Workers上部署和管理远程MCP服务器，支持OAuth登录并与Claude Desktop集成。\n- [r-huijts\u002Fmcp-server-tester](https:\u002F\u002Fgithub.com\u002Fr-huijts\u002Fmcp-server-tester)：一款基于配置的自动化工具，用于测试和生成MCP服务器报告，并利用Claude AI智能生成测试用例。\n- [nodetec\u002Fnostr-code-snippet-mcp](https:\u002F\u002Fgithub.com\u002Fnodetec\u002Fnostr-code-snippet-mcp)：通过基于节点的MCP服务器执行代码片段。\n- [BangNGH\u002Fgithub-code-index-mcp-server](https:\u002F\u002Fgithub.com\u002FBangNGH\u002Fgithub-code-index-mcp-server)：为大型语言模型提供多语言代码的索引、搜索和分析服务。\n- [CodeLogicIncEngineering\u002Fcodelogic-mcp-server](https:\u002F\u002Fgithub.com\u002FCodeLogicIncEngineering\u002Fcodelogic-mcp-server)：利用Codelogic的软件依赖数据，在AI编程助手中进行影响评估。\n- [autonomous-testing\u002Fwopee-mcp](https:\u002F\u002Fgithub.com\u002Fautonomous-testing\u002Fwopee-mcp)：面向Web应用的AI测试代理——调度测试运行、分析爬取和AI代理测试，获取工件及项目状态。\n\n## 💻 代码执行\n\n用于执行多种语言的代码片段或脚本的服务器，通常在沙箱环境中运行。\n\n- [rapidriskradar\u002FRRR-MCP](https:\u002F\u002Fgithub.com\u002Frapidriskradar\u002FRRR-MCP)：通过可配置的MCP服务器接口，方便执行RRR脚本。\n- [Quathor\u002FCMD-Executor](https:\u002F\u002Fgithub.com\u002FQuathor\u002FCMD-Executor)：通过MCP协议远程执行Windows CMD命令，确保命令执行的安全性和可配置性。\n- [JSFrouws\u002Fmcp-matlab-executor](https:\u002F\u002Fgithub.com\u002FJSFrouws\u002Fmcp-matlab-executor)：在用户批准的安全提示下，安全地执行MATLAB函数和脚本。\n- [cloudywu0410\u002Fpython_sandbox_mcp_server](https:\u002F\u002Fgithub.com\u002Fcloudywu0410\u002Fpython_sandbox_mcp_server)：使LLM能够在隔离的Docker容器中安全地执行Python代码，并通过SSE实现实时通信。\n- [1Levick3\u002Fpostgresql-mcp-server](https:\u002F\u002Fgithub.com\u002F1Levick3\u002Fpostgresql-mcp-server)：支持对PostgreSQL数据库直接执行SQL查询，提供参数化查询和可配置的超时设置。\n- [madhavarora1988\u002Fmcp_sqlite_poc](https:\u002F\u002Fgithub.com\u002Fmadhavarora1988\u002Fmcp_sqlite_poc)：通过Model Context Protocol服务器，促进AI模型与SQLite数据库的交互，提供查询执行、模式发现和反馈收集功能。\n- [spences10\u002Fmcp-sequentialthinking-qa](https:\u002F\u002Fgithub.com\u002Fspences10\u002Fmcp-sequentialthinking-qa)：将任务分解为步骤，并结合置信度分数和理由推荐MCP工具，以指导QA和验证流程。\n- [Stoicmehedi\u002FK-MCP](https:\u002F\u002Fgithub.com\u002FStoicmehedi\u002FK-MCP)：K-MCP将AI助手连接到Kali Linux终端，用于AI驱动的渗透测试和安全研究。\n- [tufantunc\u002Fssh-mcp](https:\u002F\u002Fgithub.com\u002Ftufantunc\u002Fssh-mcp)：利用Model Context Protocol，通过SSH在远程Linux和Windows系统上安全地执行Shell命令。\n- [alfonsograziano\u002Fnode-code-sandbox-mcp](https:\u002F\u002Fgithub.com\u002Falfonsograziano\u002Fnode-code-sandbox-mcp)：Node.js服务器，可在隔离的Docker容器中执行JavaScript代码，并动态管理npm依赖项。\n- [MSAdministrator\u002Fenrichment-mcp](https:\u002F\u002Fgithub.com\u002FMSAdministrator\u002Fenrichment-mcp)：通过使用VirusTotal和Hybrid Analysis等第三方服务，丰富观测数据，从而增强安全情报。\n- [Ompragash\u002Fisolator-mcp](https:\u002F\u002Fgithub.com\u002FOmpragash\u002Fisolator-mcp)：通过MCP访问隔离的Docker容器，安全地执行Python、Go和JavaScript代码片段。\n- [synackpwn\u002Fenrichment-mcp](https:\u002F\u002Fgithub.com\u002Fsynackpwn\u002Fenrichment-mcp)：利用第三方服务丰富IP地址和域名等观测数据，提升安全分析能力。\n- [pkgxdev\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fpkgxdev\u002Fmcp)：通过pkgx平台，借助AI驱动的方式执行任何开源工具，特别注重安全性与沙箱隔离。\n- [stableversion\u002Flldb_mcp](https:\u002F\u002Fgithub.com\u002Fstableversion\u002Flldb_mcp)：一款依赖极简的LLDB MCP服务器，专为高效执行命令和捕获输出而设计。\n- [koido\u002Fextreme-p-mcp](https:\u002F\u002Fgithub.com\u002Fkoido\u002Fextreme-p-mcp)：通过API接口使用R脚本进行极端p值计算，并借助FastMCP与Python集成。\n- [harshini-ns\u002Fmcp-search-engine](https:\u002F\u002Fgithub.com\u002Fharshini-ns\u002Fmcp-search-engine)：基于TypeScript的MCP服务器，提供全面的数学函数库，便于与语言模型无缝集成。\n- [jordanperr\u002Fmcp-experiments](https:\u002F\u002Fgithub.com\u002Fjordanperr\u002Fmcp-experiments)：通过Bash和AppleScript命令，实现LLM对Mac桌面的控制。\n- [T1nker-1220\u002Faws-postgress-mcp-server](https:\u002F\u002Fgithub.com\u002FT1nker-1220\u002Faws-postgress-mcp-server)：利用Model Context Protocol，提供对AWS PostgreSQL数据库的只读SQL查询访问。\n- [texra-ai\u002Fmcp-server-mathematica](https:\u002F\u002Fgithub.com\u002Ftexra-ai\u002Fmcp-server-mathematica)：通过MCP客户端集成，方便执行Mathematica代码并验证数学推导过程。\n- [svngoku\u002Fmcp-docker-code-interpreter](https:\u002F\u002Fgithub.com\u002Fsvngoku\u002Fmcp-docker-code-interpreter)：基于Docker的安全环境，可通过MCP执行代码，使AI助手能够在隔离容器中安全运行代码。\n- [longxiangzhu\u002Fdb2-mcp](https:\u002F\u002Fgithub.com\u002Flongxiangzhu\u002Fdb2-mcp)：通过SQL查询和存储过程，促进与DB2 for LUW数据库的交互。\n- [pottekkat\u002Fsandbox-mcp](https:\u002F\u002Fgithub.com\u002Fpottekkat\u002Fsandbox-mcp)：Sandbox MCP为LLM提供了一个安全环境，使其能够在隔离的Docker容器中执行代码，从而提高代码的准确性和安全性。\n- [dtkmn\u002Fmcp-zap-server](https:\u002F\u002Fgithub.com\u002Fdtkmn\u002Fmcp-zap-server)：基于Spring Boot的应用程序，允许AI智能体通过Model Context Protocol编排OWASP ZAP的操作。\n- [liuchongchong1995\u002Fnodejs](https:\u002F\u002Fgithub.com\u002Fliuchongchong1995\u002Fnodejs)：利用Cursor或Claude Code对Node.js应用程序进行运行时调试。\n- [chrisjmendez\u002Fmcp_quickstart](https:\u002F\u002Fgithub.com\u002Fchrisjmendez\u002Fmcp_quickstart)：使用Docker、SQLite和uvx搭建安全的本地Claude大脑环境，以支持MCP风格的查询。\n- [Dangoron\u002Fdefillama-mcp](https:\u002F\u002Fgithub.com\u002FDangoron\u002Fdefillama-mcp)：通过MCP服务器配置，方便执行DeFiLlama的数据处理脚本。\n- [tarjeir\u002Fchunker-mcp](https:\u002F\u002Fgithub.com\u002Ftarjeir\u002Fchunker-mcp)：利用LangChain进行代码分块和向量化，并将结果存储在ChromaDB中，以便进行高级查询。\n- [bimalpaudels\u002Fpython-interpreter-mcp](https:\u002F\u002Fgithub.com\u002Fbimalpaudels\u002Fpython-interpreter-mcp)：借助LLM，在受控环境中执行Python脚本。\n- [johnhenry\u002Fvimble-mcp](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fvimble-mcp)：利用Vimble在一个安全的沙箱环境中执行JavaScript代码。\n\n## 💬 通信与消息传递\n\n用于与电子邮件、聊天平台、短信或通知服务交互的服务器。\n\n- [jamesacklin\u002Ftlon-mcp-server](https:\u002F\u002Fgithub.com\u002Fjamesacklin\u002Ftlon-mcp-server)：通过直接消息、联系人管理和自然语言支持，促进与Tlon智能体的交互。\n- [varunwahi-plivo\u002Fplivo-mcp-server](https:\u002F\u002Fgithub.com\u002Fvarunwahi-plivo\u002Fplivo-mcp-server)：利用Plivo的API和消息控制协议，实现SMS短信通信。\n- [virtualsms-io\u002Fvirtualsms-mcp](https:\u002F\u002Fgithub.com\u002Fvirtualsms-io\u002Fvirtualsms-mcp)：通过VirtualSMS API，使AI智能体能够获取虚拟电话号码并接收SMS\u002FOTP验证码，用于自动化的电话验证流程。\n- [deuslirio\u002Fmcp-server-whatsapp-message](https:\u002F\u002Fgithub.com\u002Fdeuslirio\u002Fmcp-server-whatsapp-message)：借助MCP协议，通过Meta WhatsApp Business API发送WhatsApp消息。\n- [theo-nash\u002Ftwitter-mcp-server](https:\u002F\u002Fgithub.com\u002Ftheo-nash\u002Ftwitter-mcp-server)：无需直接访问Twitter API，即可实现由AI驱动的Twitter互动，包括发推文、搜索和用户管理等功能。\n- [sudhakarmlal\u002FERAV3-GMAILMCP](https:\u002F\u002Fgithub.com\u002Fsudhakarmlal\u002FERAV3-GMAILMCP)：通过Gmail API实现无缝的电子邮件管理，允许用户通过MCP客户端发送、阅读和管理邮件。\n- [operation-hp\u002FWA-MCP](https:\u002F\u002Fgithub.com\u002Foperation-hp\u002FWA-MCP)：利用whatsapp-web.js，通过WhatsApp聊天消息与MCP服务器进行交互。\n- [va99\u002FNapier-mcp](https:\u002F\u002Fgithub.com\u002Fva99\u002FNapier-mcp)：通过Python MCP服务器将本地环境与WhatsApp Web API连接，实现AI驱动的WhatsApp互动，支持消息获取和媒体处理。\n- [kousunh\u002Falertmcp](https:\u002F\u002Fgithub.com\u002Fkousunh\u002Falertmcp)：为AI客户端工具提供带有调度功能的桌面通知服务。\n- [arush15june\u002Fzammad-mcp-go](https:\u002F\u002Fgithub.com\u002Farush15june\u002Fzammad-mcp-go)：通过结构化的MCP资源和工具，促进与Zammad API的交互，用于工单和用户的管理。\n- [leshchenko1979\u002Ftg_mcp](https:\u002F\u002Fgithub.com\u002Fleshchenko1979\u002Ftg_mcp)：通过强大的Telegram API实现无缝交互，支持在Cursor IDE中进行消息搜索、聊天管理和数据分析。\n- [nicekon\u002Fzendesk-mcp-server-kon](https:\u002F\u002Fgithub.com\u002Fnicekon\u002Fzendesk-mcp-server-kon)：增强Zendesk集成，管理工单、社区帖子和知识库访问。\n- [atorber\u002Fwechaty-mcp-sse](https:\u002F\u002Fgithub.com\u002Fatorber\u002Fwechaty-mcp-sse)：促进Wechaty与Claude等大型语言模型之间的无缝集成，通过基于TypeScript的MCP服务器实现消息发送和联系人查询。\n- [firstorderai\u002Fauthenticator_mcp](https:\u002F\u002Fgithub.com\u002Ffirstorderai\u002Fauthenticator_mcp)：通过Authenticator App，帮助AI智能体安全地获取2FA验证码和密码，以实现自动化登录流程。\n- [imprvhub\u002Fmcp-status-observer](https:\u002F\u002Fgithub.com\u002Fimprvhub\u002Fmcp-status-observer)：在Claude Desktop中实时监控和查询主要数字平台的运行状态。\n- [Escorza07\u002Fwhatsapp-mcp](https:\u002F\u002Fgithub.com\u002FEscorza07\u002Fwhatsapp-mcp)：利用Go桥接和Python MCP服务器，通过Claude实现与WhatsApp的无缝交互，支持消息管理和联系人搜索。\n- [karateboss\u002Fmcp_email_reader](https:\u002F\u002Fgithub.com\u002Fkarateboss\u002Fmcp_email_reader)：连接到邮件服务器，使用MCP工具读取邮件并管理附件。\n- [tituslhy\u002Fsturdy-octo-fortnight](https:\u002F\u002Fgithub.com\u002Ftituslhy\u002Fsturdy-octo-fortnight)：通过强大的MCP服务器，实现与Atlassian Confluence和Jira的无缝集成，支持高效的内容管理和问题跟踪。\n- [noobnooc\u002Fwebhook-mcp](https:\u002F\u002Fgithub.com\u002Fnoobnooc\u002Fwebhook-mcp)：通过MCP服务器集成，实现任务完成提醒的Webhook通知。\n- [orellazri\u002Fcoda-mcp](https:\u002F\u002Fgithub.com\u002Forellazri\u002Fcoda-mcp)：通过MCP服务器界面，支持对Coda文档的操作，如列出、创建和修改页面。\n- [scho-to\u002Fmcp-jira-cloud-v2](https:\u002F\u002Fgithub.com\u002Fscho-to\u002Fmcp-jira-cloud-v2)：通过MCP请求获取Jira Cloud中的工单信息，促进与Jira Cloud的交互。\n- [YajieQi123\u002Fmcp-server-monday-qi](https:\u002F\u002Fgithub.com\u002FYajieQi123\u002Fmcp-server-monday-qi)：通过MCP服务器与Monday.com的看板、项目、更新和文档进行交互。\n- [alimo7amed93\u002Fwebhook-tester-mcp](https:\u002F\u002Fgithub.com\u002Falimo7amed93\u002Fwebhook-tester-mcp)：一个模块化的FastMCP服务器，用于管理和测试webhook，结合webhook-test.com实现webhook的可观测性和管理。\n- [Escorza07\u002Fmcp-gmail-extension](https:\u002F\u002Fgithub.com\u002FEscorza07\u002Fmcp-gmail-extension)：通过自然语言交互和自动认证支持，实现Gmail的无缝管理。\n- [Meerkats-Ai\u002Ffindymail-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Ffindymail-mcp-server)：集成Findymail API，利用MCP提供电子邮件验证和查找功能。\n- [BlackMac\u002Fsipgateio-mcp](https:\u002F\u002Fgithub.com\u002FBlackMac\u002Fsipgateio-mcp)：促进AI驱动的与Sipgate服务的交互，用于SMS、通话和账户管理。\n- [TharanaBope\u002Fwhatsapp-mcp-n8n](https:\u002F\u002Fgithub.com\u002FTharanaBope\u002Fwhatsapp-mcp-n8n)：通过WhatsApp Web多设备API，实现与WhatsApp的无缝交互，支持消息检索、联系人搜索和媒体交换。\n- [mskim8717\u002Fdooray-mcp](https:\u002F\u002Fgithub.com\u002Fmskim8717\u002Fdooray-mcp)：通过Dooray API集成，实现日程管理，支持自动时间设置和位置信息。\n- [futuyu\u002FDiscord-webhook-MCP](https:\u002F\u002Fgithub.com\u002Ffutuyu\u002FDiscord-webhook-MCP)：利用模型上下文协议通过Webhook向Discord发送消息，并支持Claude Desktop的集成。\n- [beylessai\u002Fhiworks-mcp](https:\u002F\u002Fgithub.com\u002Fbeylessai\u002Fhiworks-mcp)：通过Hiworks Mail集成，使用MCP实现邮件的收发功能。\n- [team-telnyx\u002Ftelnyx-mcp-server](https:\u002F\u002Fgithub.com\u002Fteam-telnyx\u002Ftelnyx-mcp-server)：促进与电信、消息传递和AI助手API的交互，使MCP客户端能够管理通信并构建AI驱动的解决方案。\n- [commune-sh\u002Fcommune-mcp](https:\u002F\u002Fgithub.com\u002Fcommune-sh\u002Fcommune-mcp)：为AI智能体提供电子邮件基础设施，支持程序化创建收件箱、收发邮件、跨并发对话的线程管理、自定义域名、入站邮件的结构化提取以及SMS服务。\n- [wazionapps\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fwazionapps\u002Fmcp-server)：WAzion——一个包含244种MCP工具的WhatsApp Business平台，适用于消息传递、CRM、营销活动、工作流和AI自动化。支持流式HTTP和标准输入输出传输。\n- [littlebearapps\u002Foutlook-assistant](https:\u002F\u002Fgithub.com\u002Flittlebearapps\u002Foutlook-assistant)：面向Microsoft Outlook的MCP服务器，整合了20种工具，通过Graph API实现邮件、日历、联系人和邮箱管理。具备试运行预览、会话速率限制和收件人白名单功能，确保安全发送邮件。\n\n## 📝 内容管理系统\n\n专门设计用于与 CMS 平台交互的服务器。\n\n- [UnMarkdown\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002FUnMarkdown\u002Fmcp-server)：将 Markdown 转换为格式化的文档，适用于 Google Docs、Word、Slack、OneNote、电子邮件和纯文本，提供 62 种模板，并通过 7 款 MCP 工具实现文档管理和发布。\n- [edgarrmondragon\u002Flimesurvey-mcp](https:\u002F\u002Fgithub.com\u002Fedgarrmondragon\u002Flimesurvey-mcp)：通过专用的 MCP 服务器，实现对 LimeSurvey 调查及回复的无缝管理。\n- [thoy-le-duc\u002Fmcp-woocommerce-thoy](https:\u002F\u002Fgithub.com\u002Fthoy-le-duc\u002Fmcp-woocommerce-thoy)：通过 JSON-RPC 2.0 实现 WooCommerce 商店的无缝管理，同时与 WordPress REST API 在多平台间集成。\n- [aguaitech\u002FElementor-MCP](https:\u002F\u002Fgithub.com\u002Faguaitech\u002FElementor-MCP)：使用简单的 MCP 服务器，在 WordPress 中对 Elementor 数据进行 CRUD 操作。\n- [galatanovidiu\u002Fwp-wordpress-remote-proxy](https:\u002F\u002Fgithub.com\u002Fgalatanovidiu\u002Fwp-wordpress-remote-proxy)：通过双向代理，实现本地与远程 WordPress MCP 服务器之间的无缝通信。\n- [cromewar\u002Fghost-mcp-server](https:\u002F\u002Fgithub.com\u002Fcromewar\u002Fghost-mcp-server)：借助 FastMCP 框架，利用 Claude AI 实现向 Ghost CMS 的无缝博客发布。\n- [PragmaTech-GmbH\u002Fbootiful-wordpress-mcp-server](https:\u002F\u002Fgithub.com\u002FPragmaTech-GmbH\u002Fbootiful-wordpress-mcp-server)：基于 Java 和 Spring Boot 的服务器，通过 MCP 实现 WordPress 集成。\n- [BCusack\u002Fsharepoint-mcp](https:\u002F\u002Fgithub.com\u002FBCusack\u002Fsharepoint-mcp)：通过 Model Context Protocol 协议访问组织内的 SharePoint 资源，利用 Microsoft Graph API 进行文档管理。\n- [SunnyCloudYang\u002Fhugo-mcp](https:\u002F\u002Fgithub.com\u002FSunnyCloudYang\u002Fhugo-mcp)：使用一套全面的工具来管理和部署 Hugo 静态站点，涵盖环境搭建、站点管理和主题定制等功能。\n- [pixelsock\u002Fdirectus-mcp](https:\u002F\u002Fgithub.com\u002Fpixelsock\u002Fdirectus-mcp)：通过 MCP 实现 AI 客户端与 Directus CMS 的交互，从而实现无缝的 API 集成。\n- [gopalcnepal\u002Fmcp-wordpress](https:\u002F\u002Fgithub.com\u002Fgopalcnepal\u002Fmcp-wordpress)：通过 REST API 获取 WordPress 站点中的文章、页面和分类，实现与 WordPress 的交互。\n- [injunko\u002Ffigma-mcp-server](https:\u002F\u002Fgithub.com\u002Finjunko\u002Ffigma-mcp-server)：使 AI 驱动的编码工具能够无缝访问并应用 Figma 设计数据。\n- [soggycactus\u002Fpaprika-3-mcp](https:\u002F\u002Fgithub.com\u002Fsoggycactus\u002Fpaprika-3-mcp)：支持以自然语言与 Paprika 3 食谱进行交互，允许通过 Claude 等大型语言模型创建和编辑食谱。\n- [mabeldata\u002Fpocketbase-mcp](https:\u002F\u002Fgithub.com\u002Fmabeldata\u002Fpocketbase-mcp)：便于与 PocketBase 实例交互，用于管理记录、文件和迁移。\n- [jpollock\u002Fwordpress-mcp](https:\u002F\u002Fgithub.com\u002Fjpollock\u002Fwordpress-mcp)：通过 REST API 对 WordPress 站点进行全面管理，提供站点、内容、用户、分类法、插件和主题管理工具。\n- [calafate40\u002FMCP-FileMaker](https:\u002F\u002Fgithub.com\u002Fcalafate40\u002FMCP-FileMaker)：通过 Model Context Protocol 协议访问 FileMaker 数据库，支持基于令牌的身份验证和记录搜索功能。\n- [burnworks\u002Fmicrocms-api-mcp-server](https:\u002F\u002Fgithub.com\u002Fburnworks\u002Fmicrocms-api-mcp-server)：通过 MCP 服务器访问 microCMS API，提供内容检索、搜索和筛选功能。\n- [loyaniu\u002Fmoodle-mcp](https:\u002F\u002Fgithub.com\u002Floyaniu\u002Fmoodle-mcp)：通过 Model Context Protocol 服务器与 Moodle LMS 交互，提供诸如获取即将发生的事件等功能。\n- [Leonelberio\u002Fthe-wordpress-mcp-server](https:\u002F\u002Fgithub.com\u002FLeonelberio\u002Fthe-wordpress-mcp-server)：通过 JSON-RPC 2.0 实现与 WordPress 站点的无缝交互，支持通过 WordPress REST API 创建、检索和更新文章。\n- [tsainte\u002Fwordpress-automation-mcp](https:\u002F\u002Fgithub.com\u002Ftsainte\u002Fwordpress-automation-mcp)：基于 Python 的 MCP 服务器可自动化 WordPress 文章管理，提供 CRUD 操作和文章状态处理功能。\n- [tonioshikanlu\u002Fmcp-gdrive-server](https:\u002F\u002Fgithub.com\u002Ftonioshikanlu\u002Fmcp-gdrive-server)：与 Google Drive 集成，实现文件列表、读取和搜索功能。\n- [Utsav-Ladani\u002FWordPress-MCP](https:\u002F\u002Fgithub.com\u002FUtsav-Ladani\u002FWordPress-MCP)：通过 Model Context Protocol 服务器，实现 WordPress 中的文章创建、更新和搜索，从而实现无缝的内容管理。\n- [granthooks\u002FNocodb-MCP-Server](https:\u002F\u002Fgithub.com\u002Fgranthooks\u002FNocodb-MCP-Server)：通过 Model Context Protocol 协议对 Nocodb 数据库执行 CRUD 操作，确保数据库记录的无缝集成和管理。\n- [rijkvanzanten\u002Fdirectus-mcp-server](https:\u002F\u002Fgithub.com\u002Frijkvanzanten\u002Fdirectus-mcp-server)：促进 AI 工具与 Directus API 的集成，实现无缝交互和数据检索。\n- [harlley\u002Fstoryblok-mcp](https:\u002F\u002Fgithub.com\u002Fharlley\u002Fstoryblok-mcp)：通过此 MCP 实现，可以使用自然语言描述来管理 Storyblok 组件。\n- [starbuck93\u002Ftandoor-mcp-server](https:\u002F\u002Fgithub.com\u002Fstarbuck93\u002Ftandoor-mcp-server)：实现与 Tandoor Recipe Manager 的无缝交互，支持食谱创建、膳食计划和购物清单管理。\n- [theWDY\u002Foffice-editor-mcp](https:\u002F\u002Fgithub.com\u002FtheWDY\u002Foffice-editor-mcp)：通过将全面的 Microsoft Office 文档处理能力无缝集成到 MCP 客户端中，提升生产力，无需离开客户端环境即可创建、编辑和管理 Word、Excel 和 PowerPoint 文档。\n- [johnnyrobot\u002Fclaude-canvas-mcp](https:\u002F\u002Fgithub.com\u002Fjohnnyrobot\u002Fclaude-canvas-mcp)：通过 Claude 桌面版 MCP 服务器，实现与 Canvas LMS 的无缝交互，支持通过 Canvas API 进行课程和学生管理。\n- [rakeshgangwar\u002Ffreshrss-server](https:\u002F\u002Fgithub.com\u002Frakeshgangwar\u002Ffreshrss-server)：通过 Fever API 实现 AI 与 FreshRSS 订阅源的交互，支持订阅源管理和条目检索。\n- [sdi2200262\u002Feclass-mcp-server](https:\u002F\u002Fgithub.com\u002Fsdi2200262\u002Feclass-mcp-server)：通过身份验证、课程检索和会话管理等功能，促进 AI 代理与 Open eClass 的交互。\n- [mrwyndham\u002Fpocketbase-mcp](https:\u002F\u002Fgithub.com\u002Fmrwyndham\u002Fpocketbase-mcp)：支持快速开发 PocketBase 应用程序，具备高级数据库操作和模式管理功能。\n- [jonradoff\u002Flightcms](https:\u002F\u002Fgithub.com\u002Fjonradoff\u002Flightcms)：原生 AI 的 CMS，配备 41 款 MCP 工具，可通过自然语言管理网站。创建页面、模板、资产、主题、集合、重定向等，并提供完整的内容版本控制。\n\n## 📊 数据分析与商业智能\n\n连接到数据仓库、数据查询引擎、分析平台或特定数据 API 的服务器。\n\n- [rotatingshov\u002Fgo-mcp-mysql](https:\u002F\u002Fgithub.com\u002Frotatingshov\u002Fgo-mcp-mysql)：基于 Go 的 MCP 服务器，可轻松管理 MySQL 数据库，提供 CRUD 操作和自动化功能，无需 Node.js 或 Python。\n- [datafe\u002Fmaxcompute-mcp-server](https:\u002F\u002Fgithub.com\u002Fdatafe\u002Fmaxcompute-mcp-server)：使用 MCP 协议在阿里云 MaxCompute 平台上实现数据查询和模式管理。\n- [atcol\u002Fglue-mcp](https:\u002F\u002Fgithub.com\u002Fatcol\u002Fglue-mcp)：通过模型上下文协议服务器，方便与 AWS Glue 数据目录进行交互。\n- [ronantakizawa\u002Fgis-dataconvertersion-mcp](https:\u002F\u002Fgithub.com\u002Fronantakizawa\u002Fgis-dataconvertersion-mcp)：支持多种格式的地理数据转换，便于与 LLM 无缝集成，用于空间数据处理。\n- [albertdow\u002Fmcp-datapi](https:\u002F\u002Fgithub.com\u002Falbertdow\u002Fmcp-datapi)：通过 MCP 服务器接口访问 ECMWF 气候数据存储库中的目录和作业状态。\n- [4R9UN\u002Fmcp-kql-server](https:\u002F\u002Fgithub.com\u002F4R9UN\u002Fmcp-kql-server)：在 Claude Desktop 中利用 Azure CLI 进行安全认证，并以结构化数据形式输出，从而执行针对 Azure 数据资源管理器的 KQL 查询。\n- [lancedb\u002Flancedb-mcp-server](https:\u002F\u002Fgithub.com\u002Flancedb\u002Flancedb-mcp-server)：采用 LanceDB 进行数据存储和检索的无服务器 MCP 服务器，旨在为构建复杂 MCP 应用程序提供参考。\n- [phxdev1\u002Farchy-mcp](https:\u002F\u002Fgithub.com\u002Fphxdev1\u002Farchy-mcp)：Archy 可将自然语言和 GitHub 仓库 URL 转换为基于 Mermaid 语法的全面架构图。\n- [rithik-perera\u002FCodeCrunchMCP](https:\u002F\u002Fgithub.com\u002Frithik-perera\u002FCodeCrunchMCP)：分析并可视化来自 CSV 文件的 Azure 使用数据，通过 MCP 服务器界面提供洞察和摘要。\n- [orlando2019\u002Fxlsm-mcp-server](https:\u002F\u002Fgithub.com\u002Forlando2019\u002Fxlsm-mcp-server)：借助 AI 驱动的宏操作 Excel 文件，增强数据分析和办公自动化能力。\n- [under-doc\u002Funderdoc-tutorial-expense-analytics-mcp-sqlite](https:\u002F\u002Fgithub.com\u002Funder-doc\u002Funderdoc-tutorial-expense-analytics-mcp-sqlite)：通过将 GenAI 与 SQLite 的 MCP 服务器集成，实现自然语言交互式费用数据分析。\n- [Meerkats-Ai\u002Fbuiltwith-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fbuiltwith-mcp-server)：对接 BuiltWith API，分析并提供网站的技术栈信息。\n- [OpenLinkSoftware\u002Fmcp-adonet-server](https:\u002F\u002Fgithub.com\u002FOpenLinkSoftware\u002Fmcp-adonet-server)：基于 C# 的 MCP 服务器，通过 ADO.NET 实现数据库交互，专为与 Virtuoso 及其他可通过 ODBC 访问的 DBMS 平台兼容而优化。\n- [hesslee\u002Fmcp-server-altibase](https:\u002F\u002Fgithub.com\u002Fhesslee\u002Fmcp-server-altibase)：通过 Altibase 实现数据库交互和商业智能，支持 SQL 查询及自动业务洞察生成。\n- [arturborycki\u002Fmcp-teradata](https:\u002F\u002Fgithub.com\u002Farturborycki\u002Fmcp-teradata)：借助 Teradata 提供数据库交互和商业智能服务，包括执行 SQL 查询和数据分析等功能。\n- [plainsignal\u002Fplainsignal-mcp](https:\u002F\u002Fgithub.com\u002Fplainsignal\u002Fplainsignal-mcp)：通过 MCP 协议为 PlainSignal 提供分析数据检索和报告功能。\n- [mattfoster\u002Fkcve](https:\u002F\u002Fgithub.com\u002Fmattfoster\u002Fkcve)：通过将基础 MCP 服务器与 SQLite 数据库结合，实现对 Linux 内核 CVE 的查询。\n- [2geonhyup\u002Fdart-mcp](https:\u002F\u002Fgithub.com\u002F2geonhyup\u002Fdart-mcp)：利用 DART API 和 Claude 对上市公司进行财务分析和可视化。\n- [mustafahasankhan\u002Fduckdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fmustafahasankhan\u002Fduckdb-mcp-server)：使 AI 助手能够使用 SQL 在 DuckDB 上执行高级数据分析，并可无缝集成多种数据源和云存储。\n- [nananaman\u002FDuckDB-RAG-MCP-Sample](https:\u002F\u002Fgithub.com\u002Fnananaman\u002FDuckDB-RAG-MCP-Sample)：利用 DuckDB 和 MCP 实现向量化 Markdown 文档嵌入与检索，以增强 RAG 解释能力。\n- [future3OOO\u002FDeep-Fusion-Research-](https:\u002F\u002Fgithub.com\u002Ffuture3OOO\u002FDeep-Fusion-Research-)：一个综合工作流，将 Gemini 和 OpenAI 的输出与 Manus 的实时网络\u002FAPI 扫描相结合，以提升研究整合效果。\n- [alexxx-db\u002Fdatabricks-genie-mcp](https:\u002F\u002Fgithub.com\u002Falexxx-db\u002Fdatabricks-genie-mcp)：通过标准化接口，将 Databricks 的 AI\u002FBI 助手功能与其他应用集成，实现对数据的自然语言查询。\n- [MpLebron\u002FGeoDataProcessor-MCP](https:\u002F\u002Fgithub.com\u002FMpLebron\u002FGeoDataProcessor-MCP)：通过标准化接口促进地理空间数据处理，使大型语言模型能够访问并使用 WhiteBox 和 SAGA GIS 等工具。\n- [BioContext\u002FPubChem-MCP](https:\u002F\u002Fgithub.com\u002FBioContext\u002FPubChem-MCP)：通过模型上下文协议服务器访问 PubChem 中的化合物、物质和生物测定数据。\n- [cygkichi\u002Festat-mcp-server](https:\u002F\u002Fgithub.com\u002Fcygkichi\u002Festat-mcp-server)：方便访问日本 e-Stat API，使语言模型能够搜索和检索政府统计数据。\n- [mamisoa\u002Fmcp-alchemy](https:\u002F\u002Fgithub.com\u002Fmamisoa\u002Fmcp-alchemy)：MCP Alchemy 可将 Claude Desktop 与各类数据库无缝集成，提供高级 SQL 查询辅助和数据分析功能。\n- [variablenigh\u002Fexcel-mcp-server](https:\u002F\u002Fgithub.com\u002Fvariablenigh\u002Fexcel-mcp-server)：利用模型上下文协议读取和写入 MS Excel 文件中的表格数据。\n- [roastedculti\u002Fmetoro-mcp-server](https:\u002F\u002Fgithub.com\u002Froastedculti\u002Fmetoro-mcp-server)：通过模型上下文协议，使 Claude Desktop 应用程序能够与 Kubernetes 集群交互。\n- [cheukyin175\u002Fmetabase-mcp](https:\u002F\u002Fgithub.com\u002Fcheukyin175\u002Fmetabase-mcp)：实现 AI 助手与 Metabase 分析工具的无缝集成，允许通过 MCP 功能直接与分析数据交互。\n- [Strale](https:\u002F\u002Fstrale.dev) - 为 AI 代理提供的 250 多项高质量能力：覆盖 27 个国家的企业数据、合规性检查（KYB、AML、制裁、GDPR）、财务验证、网络情报、文档提取、开发者工具以及数据处理。每项能力均经过独立测试，并配有 Strale 质量评分（SQS）。提供免费套餐。\n- [trendsmcp\u002Ftrends-mcp](https:\u002F\u002Fgithub.com\u002Ftrendsmcp\u002Ftrends-mcp)：通过单一 MCP 连接获取 Google Trends（搜索、图片、新闻、购物）、YouTube、TikTok、Reddit、Amazon、Wikipedia、npm、Steam、Spotify、X（Twitter）、App Store、Google Play、网络流量以及新闻情绪等实时趋势数据。兼容 Claude、Cursor、VS Code、Windsurf、ChatGPT 等所有支持 MCP 的 AI 工具。提供免费 API 密钥，每日 20 次请求。\n\n## 🗄️ 数据库\n\n提供与各类数据库类型（如 SQL、NoSQL、向量数据库、图数据库、时序数据库等）交互接口的服务器。\n\n- [tkz24589\u002Fmcp_mongodb](https:\u002F\u002Fgithub.com\u002Ftkz24589\u002Fmcp_mongodb)：通过自然语言查询，促进 AI 驱动的 MongoDB 交互，支持无缝的数据管理和检索。\n- [cwilby\u002Fmcp-node-mssql](https:\u002F\u002Fgithub.com\u002Fcwilby\u002Fmcp-node-mssql)：利用 node-mssql 通过 MCP 实现 SQL Server 的交互，从而实现无缝的数据库管理。\n- [wangzhaobo168\u002Fdm-mcp-server](https:\u002F\u002Fgithub.com\u002Fwangzhaobo168\u002Fdm-mcp-server)：通过列出表、执行只读 SQL 查询以及展示表结构，促进与达梦数据库的交互。\n- [NomotoK\u002Fdoris-mcp-server](https:\u002F\u002Fgithub.com\u002FNomotoK\u002Fdoris-mcp-server)：为 LLM 应用程序在 Apache Doris 数据库上提供安全的只读 SQL 查询和模式探索功能。\n- [waii-ai\u002Fwaii-mcp-server](https:\u002F\u002Fgithub.com\u002Fwaii-ai\u002Fwaii-mcp-server)：促进数据库的自然语言交互，使语言模型能够通过 WAII 执行查询并处理数据。\n- [affannahmed\u002FMCP-Server-with-Claude-Ai](https:\u002F\u002Fgithub.com\u002Faffannahmed\u002FMCP-Server-with-Claude-Ai)：通过受控的 MCP 接口，促进 AI 应用程序与 MySQL 数据库之间的安全交互。\n- [ydb-platform\u002Fydb-mcp](https:\u002F\u002Fgithub.com\u002Fydb-platform\u002Fydb-mcp)：通过模型上下文协议服务器，促进 AI 驱动的 YDB 数据库交互，实现自然语言的数据库操作。\n- [Moonlight-CL\u002Fredshift-mcp-server](https:\u002F\u002Fgithub.com\u002FMoonlight-CL\u002Fredshift-mcp-server)：通过基于 Python 的 MCP 服务器，促进 AI 助手与 Amazon Redshift 数据库的交互。\n- [Carlosfpc\u002Fmcp-mysql](https:\u002F\u002Fgithub.com\u002FCarlosfpc\u002Fmcp-mysql)：通过 SSH 隧道实现安全的 MySQL 连接，借助 MCP 服务器进行受控的数据库操作。\n- [orlando2019\u002FMCO-postgres](https:\u002F\u002Fgithub.com\u002Forlando2019\u002FMCO-postgres)：通过提供模式检查和查询执行能力，使语言模型能够在 PostgreSQL 数据库上执行只读操作。\n- [Jite-J\u002F-mysql_mcp_server](https:\u002F\u002Fgithub.com\u002FJite-J\u002F-mysql_mcp_server)：通过结构化的 MCP 接口，促进 AI 应用程序与 MySQL 数据库之间的安全交互。\n- [hmn53\u002Fsql-mcp](https:\u002F\u002Fgithub.com\u002Fhmn53\u002Fsql-mcp)：使用 MCP 工具，促进 LLM 与 SQL 数据库之间的安全只读交互。\n- [fnf-deepHeading\u002Fmcp-snowflake-reader-ts](https:\u002F\u002Fgithub.com\u002Ffnf-deepHeading\u002Fmcp-snowflake-reader-ts)：通过 MCP 协议提供对 Snowflake 数据库的安全只读访问，支持跨平台功能和查询缓存。\n- [cnosuke\u002Fmcp-mysql](https:\u002F\u002Fgithub.com\u002Fcnosuke\u002Fmcp-mysql)：通过基于 Go 的 MCP 服务器促进 MySQL 数据库操作，实现与 MCP 客户端的无缝集成，用于数据库查询和管理。\n- [shensiqi0701\u002Fmysql-mcp-server-modification](https:\u002F\u002Fgithub.com\u002Fshensiqi0701\u002Fmysql-mcp-server-modification)：提供对 MySQL 数据库的只读访问，允许用户通过 MCP 服务器列出数据库、表并执行查询。\n- [avarant\u002Ftypesense-mcp-server](https:\u002F\u002Fgithub.com\u002Favarant\u002Ftypesense-mcp-server)：通过 MCP 管理集合、文档和搜索操作，促进与 Typesense 的无缝集成。\n- [tqvthu-works\u002Fmysql-mcp-server](https:\u002F\u002Fgithub.com\u002Ftqvthu-works\u002Fmysql-mcp-server)：通过模型上下文协议服务器，在 Cursor IDE 中促进与 MySQL 数据库的交互。\n- [allizwellai\u002Fmysql-mcp-server](https:\u002F\u002Fgithub.com\u002Fallizwellai\u002Fmysql-mcp-server)：提供对 MySQL 数据库的安全只读访问，使用户能够列出数据库、表并执行查询，同时具备强大的安全特性。\n- [shensiqi0701\u002FMCP-MySQL-server-implementation](https:\u002F\u002Fgithub.com\u002Fshensiqi0701\u002FMCP-MySQL-server-implementation)：促进 LLM 访问和执行 MySQL 数据库上的 SQL 查询，具有强大的安全性和性能特性。\n- [shibayu36\u002Fmysql-schema-explorer-mcp](https:\u002F\u002Fgithub.com\u002Fshibayu36\u002Fmysql-schema-explorer-mcp)：使用模型上下文协议高效访问 MySQL 数据库的模式信息，非常适合大型数据库。\n- [asirulnik\u002Fmcp-law-office-db](https:\u002F\u002Fgithub.com\u002Fasirulnik\u002Fmcp-law-office-db)：促进律师事务所数据库的高效管理，重点在于客户记录、案件归档、时间跟踪和发票管理。\n- [adam2211\u002Fneon-mcp-loc](https:\u002F\u002Fgithub.com\u002Fadam2211\u002Fneon-mcp-loc)：促进与 Neon Postgres 数据库的自然语言交互，通过直观的命令实现无缝的数据库管理和迁移。\n- [achrekarom12\u002Fmcp-mongo](https:\u002F\u002Fgithub.com\u002Fachrekarom12\u002Fmcp-mongo)：通过模型上下文协议服务器，促进 LLM 与 MongoDB 数据库的自然语言交互，使其能够执行查询、探索模式和进行数据操作。\n- [nature-lover-iv\u002Fneo4j-mcp](https:\u002F\u002Fgithub.com\u002Fnature-lover-iv\u002Fneo4j-mcp)：通过 MCP 协议促进与 Neo4j 图数据库的自然语言交互，实现模式探索、查询执行和数据库管理。\n- [BioContext\u002FChemBL-MCP](https:\u002F\u002Fgithub.com\u002FBioContext\u002FChemBL-MCP)：通过模型上下文协议服务器访问 ChEMBL 数据，支持对分子、靶点、检测和生物活性数据的详细查询。\n- [jt-atan\u002FAccess-COM](https:\u002F\u002Fgithub.com\u002Fjt-atan\u002FAccess-COM)：通过模型上下文协议工具，促进与 32 位 Microsoft Access 数据库的无缝交互，支持 SQL 查询和链接表管理。\n- [aliyun\u002Falibabacloud-adbpg-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-adbpg-mcp-server)：促进 AI 代理与 AnalyticDB PostgreSQL 数据库之间的无缝交互，用于执行 SQL 操作和获取元数据。\n- [RichardHFYU\u002FMCP_Java_PSQL](https:\u002F\u002Fgithub.com\u002FRichardHFYU\u002FMCP_Java_PSQL)：基于 Spring Boot 和 Spring AI 的 MCP 服务器，用于检查 PostgreSQL 数据库模式，支持 SSE 传输，以便与 Cursor 及其他 MCP 客户端集成。\n- [Pratye\u002FMEC-Postgres](https:\u002F\u002Fgithub.com\u002FPratye\u002FMEC-Postgres)：促进对 PostgreSQL 数据库的读写操作，使 LLM 能够与数据库模式交互并执行 SQL 查询。\n- [Malove86\u002Fmcp-mysql-server](https:\u002F\u002Fgithub.com\u002FMalove86\u002Fmcp-mysql-server)：通过标准化接口促进 AI 模型与 MySQL 数据库的交互，支持本地和远程部署模式。\n- [stucchi\u002Fdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fstucchi\u002Fdb-mcp-server)：适用于 MySQL、PostgreSQL 和 MongoDB 的数据库 MCP 服务器，支持 SSH 隧道。可在多种数据库类型上运行查询、探索模式并管理数据。\n\n## 🛠️ 开发者生产力与工具\n\n提升开发者工作流的服务器，可与 IDE 集成、访问文档、探索 API、提供代码生成助手或通用开发工具。\n\n- [cafeTechne\u002Fantigravity-link-extension](https:\u002F\u002Fgithub.com\u002FcafeTechne\u002Fantigravity-link-extension): MCP 服务器 + OpenAPI API，用于通过移动配套 UI 控制 Antigravity IDE 实例（截图、发送、停止生成、切换实例、获取任务\u002F教程\u002F计划）。\n- [rendoc](https:\u002F\u002Fgithub.com\u002Fyoryocoruxo-ai\u002Frendoc) - 通过 MCP 将 HTML 模板和动态数据生成专业 PDF 文档。功能包括模板管理、实时预览以及通过 rendoc.dev API 进行使用情况跟踪。\n- [CristianCiubancan\u002Fsequentialthinking](https:\u002F\u002Fgithub.com\u002FCristianCiubancan\u002Fsequentialthinking): 通过结构化的逐步思考流程，促进动态问题解决。\n- [hyperpolymath\u002Fboj-server](https:\u002F\u002Fgithub.com\u002Fhyperpolymath\u002Fboj-server): 统一的 MCP 服务器，内置 40 多种工具，覆盖 GitHub、GitLab、Cloudflare、Vercel、Gmail、日历、浏览器自动化、研究、ML 等领域，并提供 50 多个可插拔模块，以扩展开发者工作流。\n- [gethopp\u002Ffigma-mcp-bridge](https:\u002F\u002Fgithub.com\u002Fgethopp\u002Ffigma-mcp-bridge): 通过基于 WebSocket 的插件-服务器桥接机制，结合领导者选举和多实例管理，绕过 Figma API 的速率限制，将 Figma 文档的实时数据流式传输至 AI 工具。\n- [izzzzzi\u002Fcodewiki-mcp](https:\u002F\u002Fgithub.com\u002Fizzzzzi\u002Fcodewiki-mcp): codewiki.google 的 MCP 服务器——搜索代码库、获取 AI 生成的维基文档，并针对任何开源仓库提问。\n- [jkosik\u002Fmcp-server-splunk](https:\u002F\u002Fgithub.com\u002Fjkosik\u002Fmcp-server-splunk): 提供支持 STDIO 和 SSE 模式的 Go 语言 MCP 服务器，便于与 Splunk 无缝集成。\n- [OpenClaw MCP 生态系统](https:\u002F\u002Fgithub.com\u002Fyedanyagamiai-cmd\u002Fopenclaw-mcp-servers) - Cloudflare Workers 上的 9 个远程 MCP 服务器：JSON 工具包、正则表达式引擎、颜色调色板、时间戳转换器、提示增强器、AI 市场情报、运势\u002F星座、内容发布者以及 AI 工具比较。提供免费层级及 Pro API 密钥（9 美元）。\n- [uAI-solana\u002Fuseful-ai-mcp](https:\u002F\u002Fgithub.com\u002FuAI-solana\u002Fuseful-ai-mcp): 全动态 MCP 服务器，开放 200 多种共享实用工具供 AI 代理使用。工具列表会根据实际使用数据自动更新。可用纯英文下达任务，获得结构化输出。无需认证。`https:\u002F\u002Fapi.usefulai.fun\u002Fmcp`\n- [OzorOwn\u002Ffrostbyte-mcp](https:\u002F\u002Fgithub.com\u002FOzorOwn\u002Ffrostbyte-mcp): 开发者 API 工具包，包含 13 种工具——IP 地理定位、加密货币价格、DNS\u002FWHOIS 查询、网站截图、网页抓取、代码执行（20 多种语言）、网页搜索、URL 缩短、PDF 生成、Pastebin、数据转换以及域名可用性查询。一个 API 密钥即可访问 40 多项服务。\n- [twinic\u002FTwinic-server](https:\u002F\u002Fgithub.com\u002Ftwinic\u002FTwinic-server): 通过简单提示帮助安装和配置 MCP 服务器，并与 npm 和 PyPi 集成。\n- [ejoyee\u002Fej-mcp-server-gdrive](https:\u002F\u002Fgithub.com\u002Fejoyee\u002Fej-mcp-server-gdrive): 与 Google Drive 集成，实现文件列表、读取和搜索功能。\n- [ElromEvedElElyon\u002Fclaw-mcp-toolkit](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fclaw-mcp-toolkit): 多功能 MCP 工具包，涵盖 5 个模块共 26 种工具——加密货币（价格、趋势、恐惧与贪婪指数）、网络（抓取、DNS、SSL、SEO）、社交（推文生成、Threads、内容日历）、金融（股票、外汇、投资组合、发票）以及 productivity（番茄工作法、任务管理、笔记、提醒）。无需 API 密钥，无需配置。MIT 许可证。\n- [joshuayoes\u002Fdeno-kv-mcp](https:\u002F\u002Fgithub.com\u002Fjoshuayoes\u002Fdeno-kv-mcp): 通过强大的 MCP 服务器与 Deno KV 实例交互，实现无缝的键值操作。\n- [elhadjaoui\u002Fpr_reviewer](https:\u002F\u002Fgithub.com\u002Felhadjaoui\u002Fpr_reviewer): 一款与 Claude Desktop 集成的 MCP 服务器，用于分析 GitHub Pull Request，并自动将评审结果保存到 Google Drive。\n- [skeet-build\u002Fskeet-local](https:\u002F\u002Fgithub.com\u002Fskeet-build\u002Fskeet-local): 为数据库和搜索操作的 Skeet MCP 工具提供无缝集成和配置。\n- [Demontie\u002Fmcp-google-sheets](https:\u002F\u002Fgithub.com\u002FDemontie\u002Fmcp-google-sheets): 通过 Model Context Protocol 服务器，实现与 Google Sheets 的无缝数据交互。\n- [alvinveroy\u002Faider-mcp-client](https:\u002F\u002Fgithub.com\u002Falvinveroy\u002Faider-mcp-client): 一款 Python 工具，将 MCP 与 Aider 集成，以获取库文档并增强 AI 辅助编码工作流。\n- [slavahatnuke\u002Foctolis-tech-support](https:\u002F\u002Fgithub.com\u002Fslavahatnuke\u002Foctolis-tech-support): 通过 MCP 服务器配置，促进技术支持运营。\n- [Hizuki1030\u002Fvisa-mcp](https:\u002F\u002Fgithub.com\u002FHizuki1030\u002Fvisa-mcp): 利用 VISA 架构的 MCP 服务器控制示波器，实现各种测量任务的无缝集成和自动化。\n- [charlesmuchene\u002Fpref-editor-mcp-server](https:\u002F\u002Fgithub.com\u002Fcharlesmuchene\u002Fpref-editor-mcp-server): 通过专用 MCP 服务器，借助 Android Preference Editor 工具编辑 Android 设置。\n- [b3nguang\u002FServer-Inspection-MCP](https:\u002F\u002Fgithub.com\u002Fb3nguang\u002FServer-Inspection-MCP): 在 PC 上运行的 MCP 程序，与服务器代理对接，实现服务器巡检。\n- [ssaitho\u002Fdesign-system-mcp-sandbox](https:\u002F\u002Fgithub.com\u002Fssaitho\u002Fdesign-system-mcp-sandbox): 在沙盒环境中从设计系统中检索组件信息。\n- [PyneSys\u002Fpatch-file-mcp](https:\u002F\u002Fgithub.com\u002FPyneSys\u002Fpatch-file-mcp): 使用块格式补丁精确修改文件，确保 AI 驱动的文件编辑任务的安全性和效率。\n- [Sofias-ai\u002Fmcp-sharepoint](https:\u002F\u002Fgithub.com\u002FSofias-ai\u002Fmcp-sharepoint): 通过轻量级 MCP 服务器与 Microsoft SharePoint 资源无缝交互，优化文档管理操作。\n- [ZebraRoy\u002Freview-toolkit-mcp](https:\u002F\u002Fgithub.com\u002FZebraRoy\u002Freview-toolkit-mcp): 支持 AI 驱动的代码评审会话，具备会话管理、文件跟踪和报告生成等功能。\n- [Aryan1718\u002Fmcp-sever-google-sheets](https:\u002F\u002Fgithub.com\u002FAryan1718\u002Fmcp-sever-google-sheets): 通过 MCP 服务器实现与 Google Sheets 的无缝数据操作。\n- [Xutaotaotao\u002Fmcp-get-installed-apps](https:\u002F\u002Fgithub.com\u002FXutaotaotao\u002Fmcp-get-installed-apps): 使 AI 助手能够通过 Model Context Protocol 发现 macOS 和 Windows 上已安装的应用程序。\n- [ai-wes\u002Fversion_checker_mcp](https:\u002F\u002Fgithub.com\u002Fai-wes\u002Fversion_checker_mcp): 专门的 MCP 服务器，帮助开发者管理 React Native 和 Expo 项目，通过分析依赖关系、检查兼容性以及查看变更日志来实现。\n- [yo-ban\u002Fpoly-mcp-client](https:\u002F\u002Fgithub.com\u002Fyo-ban\u002Fpoly-mcp-client): 一款 Python 客户端库，用于管理与 MCP 服务器的连接，并为 Anthropic、OpenAI 和 Gemini 的工具定义进行适配。\n- [furey\u002Flifx-api-mcp-server](https:\u002F\u002Fgithub.com\u002Ffurey\u002Flifx-api-mcp-server): 通过 LIFX HTTP API 实现对 LIFX 智能照明设备的自然语言控制，允许使用 LLM 执行灯光管理和效果激活等操作。\n- [aezizhu\u002Fsimple-mcp-fileserver](https:\u002F\u002Fgithub.com\u002Faezizhu\u002Fsimple-mcp-fileserver): 通过 JSON-RPC 使 AI 代理能够与本地文件系统交互，从而实现自主编码和代码修复。\n- [yasu89\u002Fswitch-bot-mcp-server](https:\u002F\u002Fgithub.com\u002Fyasu89\u002Fswitch-bot-mcp-server): 使用 Model Context Protocol 对 SwitchBot 设备进行交互式控制。\n- [iamkaia\u002Fmcp-server-implement](https:\u002F\u002Fgithub.com\u002Fiamkaia\u002Fmcp-server-implement): 一组五款 MCP 服务器，用于与 Claude Desktop 集成，提供电子邮件管理、网页抓取、文档操作和文件系统管理等功能。\n- [jsnanigans\u002Fmcpm](https:\u002F\u002Fgithub.com\u002Fjsnanigans\u002Fmcpm): 一款命令行工具，用于管理和代理 MCP 服务器，促进 JSON-RPC 通信和服务器配置。\n- [mhappy78\u002Fmcp_ai_local_memory](https:\u002F\u002Fgithub.com\u002Fmhappy78\u002Fmcp_ai_local_memory): 使用 Model Context Protocol 在本地系统上进行文件管理操作，支持 AI 驱动的本地存储。\n- [miraclebakelaser\u002Fporkbun-mcp-server](https:\u002F\u002Fgithub.com\u002Fmiraclebakelaser\u002Fporkbun-mcp-server): 通过 Porkbun API 为兼容 MCP 的客户端提供域名、DNS 和 SSL 管理服务。\n- [urijan44\u002Fpr_creator_mcp](https:\u002F\u002Fgithub.com\u002Furijan44\u002Fpr_creator_mcp): 自动化 GitHub Pull Request 创建，并支持 Cursor 和 Claude 等工具的集成。\n- [sbarbett\u002Fpihole-mcp-server](https:\u002F\u002Fgithub.com\u002Fsbarbett\u002Fpihole-mcp-server): 通过 Model Context Protocol 服务器，使 AI 助手能够管理和查询 Pi-hole 的配置及指标。\n- [Agent Native Registry](https:\u002F\u002Fagentnativeregistry.com): 远程 MCP 服务器，内置 100 多种开发者工具，并按 AI 代理兼容性评分（0-100）。工具包括 `search_tools`、`get_score`、`compare_tools`。帮助代理在无需反复试验的情况下为任何任务选择合适的 API。\n- [Dave-London\u002FPare](https:\u002F\u002Fgithub.com\u002FDave-London\u002FPare): 一套包含 16 款 MCP 服务器的套件，封装了 240 多种 CLI 开发工具（git、npm、Docker、测试运行器、构建工具、代码检查工具、Python、Cargo、Go、GitHub、K8s），并通过 `outputSchema` + `structuredContent` 提供结构化的 JSON 输出。与原始 CLI 输出相比，令牌用量减少多达 92%。MIT 许可证，经过 1,850 多次测试。\n- [rm-rf-prod\u002FGroundTruth-MCP](https:\u002F\u002Fgithub.com\u002Frm-rf-prod\u002FGroundTruth-MCP): 自托管的 MCP 服务器，用于实时文档、代码审计和最佳实践。收录 363+ 精选库，并提供 npm\u002FPyPI\u002Fcrates.io\u002FGo 的回退选项；涵盖 18 个类别、100 多种审计模式，附带文件和行号位置以及实时修复建议。无速率限制。\n- [saurav61091\u002Fmcp-openapi](https:\u002F\u002Fgithub.com\u002Fsaurav61091\u002Fmcp-openapi): 将任何 OpenAPI 3.x 规范转化为适用于 Claude 的 MCP 工具——零配置，即时访问 API。\n\n- [mcp-lint](https:\u002F\u002Fgithub.com\u002Frobert19001-cmyk\u002Fmcp-lint)：一款命令行 lint 工具，用于验证 MCP 服务器工具的 schema，确保在 Claude、Cursor、Gemini 和 VS Code Copilot 等不同客户端之间的兼容性。该工具包含 13 条规则，支持对安全问题的自动修复、JSON 和 Markdown 格式的输出，并可通过 stdio 和 SSE 同时支持静态文件和实时 MCP 服务器。\n\n## 📁 文件系统\n\n专注于与本地或远程文件系统交互的服务器，用于读取、写入、编辑、列出或管理文件和目录。\n\n- [MVA-MCP-servers\u002Ffilesystem](https:\u002F\u002Fgithub.com\u002FMVA-MCP-servers\u002Ffilesystem)：基于模型上下文协议的Node.js服务器，提供高级文件系统操作功能，包括智能文件管理和目录导航。\n- [yinzhouzhi\u002Ffilesystem-server](https:\u002F\u002Fgithub.com\u002Fyinzhouzhi\u002Ffilesystem-server)：通过基于模型上下文协议的服务器，方便访问和操作本地文件系统。\n- [CyberT33N\u002Fmcp-filesystem-extended](https:\u002F\u002Fgithub.com\u002FCyberT33N\u002Fmcp-filesystem-extended)：使用模型上下文协议的Node.js服务器，支持全面的文件系统操作。\n- [fast-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fefforthye\u002Ffast-filesystem-mcp)：具备大文件处理能力及Claude优化功能的高级文件系统操作工具。提供快速文件读写、大文件顺序读取、目录操作、文件搜索以及带备份和恢复功能的流式写入。\n- [webconsulting\u002Fmcp-server-wsl-filesystem](https:\u002F\u002Fgithub.com\u002Fwebconsulting\u002Fmcp-server-wsl-filesystem)：专为WSL优化的Node.js服务器，实现Windows与Linux发行版之间的无缝文件系统操作，提升WSL用户的性能和控制能力。\n- [asirulnik\u002Fmcp_server_filesystem_01](https:\u002F\u002Fgithub.com\u002Fasirulnik\u002Fmcp_server_filesystem_01)：在项目目录中支持AI驱动的文件系统操作，实现代码的无缝交互与管理。\n- [arunjavagithub\u002FMCPJavaFileSystem](https:\u002F\u002Fgithub.com\u002Farunjavagithub\u002FMCPJavaFileSystem)：基于Java的MCP服务器，使LLM代理能够执行文件系统操作和网络内容检索。\n- [danielsuguimoto\u002Freadonly-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fdanielsuguimoto\u002Freadonly-filesystem-mcp)：使用模型上下文协议的只读文件系统操作Node.js服务器。\n- [cyanheads\u002Ffilesystem-mcp-server](https:\u002F\u002Fgithub.com\u002Fcyanheads\u002Ffilesystem-mcp-server)：为AI代理提供安全、跨平台的文件系统操作功能，包括高级搜索替换和目录管理。\n- [abhishekloiwal\u002Fmcp-file-server](https:\u002F\u002Fgithub.com\u002Fabhishekloiwal\u002Fmcp-file-server)：通过MCP服务器为AI助手提供本地文件系统操作功能，支持文件读写和管理。\n- [axlwolf\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002Faxlwolf\u002Ffilesystem-mcp)：使用模型上下文协议执行文件系统操作的Node.js服务器，支持文件操作、目录管理和元数据检索。\n- [alexissinglaire\u002Ffilesystemcustom_final](https:\u002F\u002Fgithub.com\u002Falexissinglaire\u002Ffilesystemcustom_final)：通过模型上下文协议执行文件系统操作的Node.js服务器，支持指定范围内的文件操作和目录管理。\n- [ysthink\u002FFilesystem-MCP-Server-SSE](https:\u002F\u002Fgithub.com\u002Fysthink\u002FFilesystem-MCP-Server-SSE)：通过使用SSE技术的Node.js服务器进行文件系统操作，实现高效的文件管理和目录处理。\n- [u1i\u002Fmcp-server-disk-usage](https:\u002F\u002Fgithub.com\u002Fu1i\u002Fmcp-server-disk-usage)：通过Claude集成，在macOS上实现实时磁盘使用情况监控，提供详细的存储统计信息。\n- [alexissinglaire\u002Ffilesystemcustom-test](https:\u002F\u002Fgithub.com\u002Falexissinglaire\u002Ffilesystemcustom-test)：通过模型上下文协议执行文件系统操作的Node.js服务器，支持文件操作、目录管理和元数据检索。\n- [sebastianbachmaier\u002Fsave-filesystem-mcp](https:\u002F\u002Fgithub.com\u002Fsebastianbachmaier\u002Fsave-filesystem-mcp)：在指定根目录内提供安全文件操作的文件系统MCP服务器，防止越界访问。\n- [Do-Boo\u002FMCP-SynoLink](https:\u002F\u002Fgithub.com\u002FDo-Boo\u002FMCP-SynoLink)：通过Node.js协助AI助手在群晖NAS设备上进行文件操作。\n- [sylphlab\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002Fsylphlab\u002Ffilesystem-mcp)：为AI代理提供安全高效的文件系统访问的Node.js服务器，确保所有操作仅限于项目根目录内。\n- [alexbakers\u002Fmcp-ipfs](https:\u002F\u002Fgithub.com\u002Falexbakers\u002Fmcp-ipfs)：通过w3 CLI与storacha.network无缝对接，使语言模型和MCP客户端能够管理空间、数据和委托。\n- [gabrielmaialva33\u002Fmcp-filesystem](https:\u002F\u002Fgithub.com\u002Fgabrielmaialva33\u002Fmcp-filesystem)：为AI模型提供安全的文件系统访问，严格验证路径并限制在预定义的目录范围内。\n- [RIKTESH89\u002Fmcp_cli_filesystem](https:\u002F\u002Fgithub.com\u002FRIKTESH89\u002Fmcp_cli_filesystem)：用于与模型上下文提供者服务器交互的命令行界面，通过CHUK-MCP协议库实现与LLM的无缝通信。\n- [linimbus\u002Fgo-mcp-file-server](https:\u002F\u002Fgithub.com\u002Flinimbus\u002Fgo-mcp-file-server)：基于Go语言的本地文件系统管理MCP服务器，提供查询和打开文件的API接口，利用SQLite3进行文件索引，并支持通过MCP客户端进行远程调用。\n- [Priyonuj\u002Fmcp-file-navigator](https:\u002F\u002Fgithub.com\u002FPriyonuj\u002Fmcp-file-navigator)：通过标准化的MCP接口，支持安全的文件系统操作和Git命令执行，增强AI助手的能力。\n- [DenizkarayusufogluGit\u002Fmcp-filesys](https:\u002F\u002Fgithub.com\u002FDenizkarayusufogluGit\u002Fmcp-filesys)：通过JSON-RPC请求为AI模型提供安全的文件系统访问，符合MCP规范。\n- [AleksanStark\u002Fmcp-ipfs-server](https:\u002F\u002Fgithub.com\u002FAleksanStark\u002Fmcp-ipfs-server)：利用IPFS进行去中心化数据存储和检索的服务器，与Claude AI集成以增强MCP交互能力。\n- [0kenx\u002Ffilesystem-mcp](https:\u002F\u002Fgithub.com\u002F0kenx\u002Ffilesystem-mcp)：基于Python的安全高效文件系统MCP服务器，具备高级文件操作、目录管理和搜索功能。\n- [mateicanavra\u002Fmcp-filesystem](https:\u002F\u002Fgithub.com\u002Fmateicanavra\u002Fmcp-filesystem)：使用模型上下文协议进行安全可控的文件系统操作的Node.js服务器。\n- [stephanj\u002FMCPJavaFileSystem](https:\u002F\u002Fgithub.com\u002Fstephanj\u002FMCPJavaFileSystem)：通过基于Java的MCP服务器，使LLM代理能够与本地文件系统和网络资源交互。\n- [SDILogin\u002Ffilesystem-android](https:\u002F\u002Fgithub.com\u002FSDILogin\u002Ffilesystem-android)：Claude MCP服务器，为AI辅助的代码导航和分析提供对Android项目文件的安全访问。\n- [1yhy\u002Foss-mcp](https:\u002F\u002Fgithub.com\u002F1yhy\u002Foss-mcp)：促进文件无缝上传至阿里云OSS，与各类MCP工具集成以增强工作流自动化。\n- [diganto-deb\u002Flocal_file_organizer](https:\u002F\u002Fgithub.com\u002Fdiganto-deb\u002Flocal_file_organizer)：基于Python的系统，利用模型上下文协议框架组织和管理跨目录文件。\n\n## 💰 金融与加密货币\n\n处理金融数据、股票市场、加密货币交易所\u002F数据、交易机器人、银行API、会计软件或区块链交互的服务器。\n\n- [FinancialData.Net MCP服务器](https:\u002F\u002Ffinancialdata.net\u002Fmcp-server) - 通过通用模型上下文协议（MCP）服务器获取实时股票价格、基本面数据、机构交易洞察及其他金融数据。\n- [cnghockey\u002Fsats4ai-mcp-server](https:\u002F\u002Fgithub.com\u002Fcnghockey\u002Fsats4ai-mcp-server) - 基于比特币闪电网络的AI工具市场。提供20余种用于图像、视频、音频、文本生成、TTS（467种语音）、网页搜索、文档转换和电话通话的工具。按使用次数以聪支付，无需注册。安装命令：`npx sats4ai-mcp`。\n- [zemloai-ctrl\u002Felecz-api](https:\u002F\u002Fgithub.com\u002Fzemloai-ctrl\u002Felecz-api) - 实时北欧和德国电力现货价格API及MCP服务器。可获取ENTSO-E芬兰、瑞典、挪威、丹麦和德国的日前电价，并为AI智能体提供可操作的合约建议。\n- [ElromEvedElElyon\u002Fsovereign-agent-chain](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsovereign-agent-chain)：基于OP_RETURN的AGT元协议构建的比特币原生AI智能体市场。包含32个MCP工具——PSBT钱包桥接、跨链兑换（BTC\u002FSOL\u002FETH\u002FRunes）、智能体注册表、信誉系统、托管以及区块扫描器。共258项测试。安装命令：`git clone https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsovereign-agent-chain.git && cd sovereign-agent-chain && npm install && npm run build`。\n- [ElromEvedElElyon\u002Fflash-payment-system](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fflash-payment-system)：首个可写入的比特币Runes MCP服务器。包含12个工具——铸币、转账、批量铸币、列出BITCOIN•USD•ONE Runes、Chainlink储备证明、智能体群组协调以及x402点对点支付。bUSD1稳定币由比特币L1上的Runes以1:1支持。共99项测试。安装命令：`git clone https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fflash-payment-system.git && cd flash-payment-system && npm install && npm run build`。\n- [atxp-dev\u002Fatxp](https:\u002F\u002Fgithub.com\u002Fatxp-dev\u002Fatxp)：智能体身份平台。只需一条命令（`npx atxp@latest agent register`），即可为您的AI智能体分配一个USDC钱包（Base）、@atxp.email收件箱、电话号码，以及100多种付费MCP工具，包括网页搜索、图像生成、短信、语音通话和100多种LLM模型。无需人工登录即可自动注册。赠送5美元免费额度。兼容Claude Desktop、Claude Code、Cursor、Windsurf及其他任何MCP客户端。\n- [covalenthq\u002Fgoldrush-mcp-server](https:\u002F\u002Fgoldrush.dev\u002Fdocs\u002Fgoldrush-mcp-server)：覆盖100多条区块链的链上数据——钱包余额、代币价格、交易记录、DEX交易对等。提供REST API、带OHLCV行情的实时WebSocket、命令行界面以及x402按需付费模式。\n- [HCS412\u002Fventureautomated](https:\u002F\u002Fgithub.com\u002FHCS412\u002Fventureautomated) [glama](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fconnectors\u002Fio.github.HCS412\u002Fventureautomated-omnis)：面向自主智能体的远程风险投资情报MCP，具备初创企业发现、公司评分、监控及企业工作流自动化功能。\n- [0xsl1m\u002Fcerebrus-pulse-mcp](https:\u002F\u002Fgithub.com\u002F0xsl1m\u002Fcerebrus-pulse-mcp)：针对Hyperliquid永续合约的实时加密情报——RSI、EMA、布林带、资金费率及30余种资产的情绪指标。通过x402微支付（Base上的USDC）按调用次数付费。\n- [8144225309\u002Fsuperscalar-mcp](https:\u002F\u002Fgithub.com\u002F8144225309\u002Fsuperscalar-mcp)：比特币闪电网络通道工厂MCP服务器，包含4个工具——协议概述、UTXO储蓄估算器、架构深度解析（无效化树、超时树、MuSig2、看门狗节点）以及资源链接。基于SuperScalar技术，可在无需软分叉的情况下将N个用户整合到一个共享UTXO中。\n- [douglasborthwick-crypto\u002Fmcp-server-insumer](https:\u002F\u002Fgithub.com\u002Fdouglasborthwick-crypto\u002Fmcp-server-insumer)：在31条EVM区块链上进行链上代币验证及ECDSA签名认证。提供16个工具，供AI智能体验证持有量、生成证明、管理商家并处理USDC支付。\n- [debridge-finance\u002Fdebridge-mcp](https:\u002F\u002Fgithub.com\u002Fdebridge-finance\u002Fdebridge-mcp)：deBridge协议的MCP服务器，使AI智能体能够找到最优的跨链兑换路径、查看手续费和条件，并在主流区块链网络之间发起非托管交易。\n- [OzorOwn\u002Fdefi-mcp](https:\u002F\u002Fgithub.com\u002FOzorOwn\u002Fdefi-mcp)：DeFi MCP服务器，提供12个工具：代币价格（CoinGecko）、6条EVM链上的多链钱包余额、Gas价格，以及通过1inch（EVM）+ Jupiter（Solana）获取的DEX兑换报价。基础使用无需API密钥。MIT许可证。\n- [izzzzzi\u002FizTolkMcp](https:\u002F\u002Fgithub.com\u002Fizzzzzi\u002FizTolkMcp)：TON区块链上Tolk智能合约编译器的MCP服务器。可从任何AI助手编译、语法检查并生成TON智能合约的部署链接。包含4个工具、3个资源和33项测试。\n- [BrunoPessoa22\u002Fchiliz-marketing-intel](https:\u002F\u002Fgithub.com\u002FBrunoPessoa22\u002Fchiliz-marketing-intel)：67余款用于粉丝代币情报的工具——鲸鱼资金流向、信号评分、体育日历、回测、DEX交易、社交情绪等。采用Bearer认证的SSE。\n- [decidefyi\u002Fdecide](https:\u002F\u002Fgithub.com\u002Fdecidefyi\u002Fdecide) – 面向订阅政策的确定性MCP公证套件：退款、取消、退货及试用条款。无状态、只读规则引擎，可审计判决结果。\n- [agentc22\u002Fx402engine-mcp](https:\u002F\u002Fgithub.com\u002Fagentc22\u002Fx402engine-mcp)：51个按调用付费的API供AI智能体使用——涵盖23种LLM（GPT-5.2、GPT-4o、Claude、Gemini、Grok、DeepSeek、Llama、Mistral、Qwen、Perplexity、Kimi、MiniMax、GLM、Devstral）、图像\u002F视频生成、代码执行、TTS、转录、嵌入、加密数据、钱包分析、ENS、交易模拟、网页抓取以及IPFS。均通过HTTP 402微支付方式结算，支持Base\u002FSolana上的USDC和MegaETH上的USDm。\n- [fernikolic\u002Fclawdentials](https:\u002F\u002Fgithub.com\u002Ffernikolic\u002Fclawdentials)：为智能体商业提供信任层，包含托管、信誉和支付功能。使AI智能体能够接受有保障付款的付费任务、建立可验证的信誉，并以USDC、USDT或BTC赚取收益。\n- [ahmetsbilgin\u002Ffinbrain-mcp](https:\u002F\u002Fgithub.com\u002Fahmetsbilgin\u002Ffinbrain-mcp)：直接在您的LLM工作流中访问机构级另类金融数据。\n- [PreReason\u002Fmcp](https:\u002F\u002Fgithub.com\u002FPreReason\u002Fmcp)：为AI智能体提供的预分析金融市场简报。返回趋势信号、市场状态分类和置信度评分，而非原始价格数据。涵盖BTC、宏观及跨资产数据的17份简报。输出优先采用Markdown格式，也可通过REST API和x402按调用付费模式获取。\n- [ccassini\u002FDEVNADS-Monad-TESNET-MCP-Tools](https:\u002F\u002Fgithub.com\u002Fccassini\u002FDEVNADS-Monad-TESNET-MCP-Tools)：使用模型上下文协议服务器与Monad区块链测试网交互，实现钱包管理、网络洞察及代币操作。\n- [SheriffOladejo\u002Fmcp-monad](https:\u002F\u002Fgithub.com\u002FSheriffOladejo\u002Fmcp-monad)：通过MCP服务器方便查询Monad测试网上MON代币余额。\n- [letsbonk-ai\u002Fbonk-mcp](https:\u002F\u002Fgithub.com\u002Fletsbonk-ai\u002Fbonk-mcp)：利用Solana区块链功能，促进LetsBonk平台上代币的发行和交易。\n- [mvk24199\u002Fzerodha-trade](https:\u002F\u002Fgithub.com\u002Fmvk24199\u002Fzerodha-trade)：通过Bun.js与Claude的MCP集成，实现Zerodha平台上的自动化股票交易。\n- [acambitsis\u002Fmcp-investec-sapb-simple](https:\u002F\u002Fgithub.com\u002Facambitsis\u002Fmcp-investec-sapb-simple)：通过简化的MCP服务器实现与Investec SA私人银行API的无缝对接。\n- [wealthy\u002Fwealthy-mcp](https:\u002F\u002Fgithub.com\u002Fwealthy\u002Fwealthy-mcp)：通过基于Golang的MCP服务器，促进Wealthy平台上的智能交易，实现与Claude、Cursor等交易工具和平台的无缝集成。\n- [zlinzzzz\u002FfinData-mcp-server](https:\u002F\u002Fgithub.com\u002Fzlinzzzz\u002FfinData-mcp-server)：通过模型上下文协议服务器为AI应用提供专业级金融数据接入，支持Tushare、Wind等多个数据提供商。\n- [leoncuhk\u002Fmcp-yahoo-finance](https:\u002F\u002Fgithub.com\u002Fleoncuhk\u002Fmcp-yahoo-finance)：方便与Yahoo Finance交互，获取金融数据并生成可视化分析。\n- [Sifu213\u002Fmonad-mcp-magiceden](https:\u002F\u002Fgithub.com\u002FSifu213\u002Fmonad-mcp-magiceden)：便于与Monad测试网上NFT数据交互，提供持币地址、NFT总价值以及按销量和交易额排行的趋势系列信息。\n- [MCPxLabs\u002Fmcpsol](https:\u002F\u002Fgithub.com\u002FMCPxLabs\u002Fmcpsol)：促进AI驱动的Solana区块链交互，通过标准化接口实现交易的无缝执行和钱包管理。\n- [shieldspprt\u002Fsolhunt-recovery](https:\u002F\u002Fgithub.com\u002Fshieldspprt\u002Fsolhunt-recovery)：Solana钱包健康分析与SOL恢复。检查钱包效率，从零余额代币账户中找回可恢复的SOL，并构建无需信任的恢复交易。\n- [atompsv\u002Fmy-red-envelope](https:\u002F\u002Fgithub.com\u002Fatompsv\u002Fmy-red-envelope)：通过MCP服务器查询Monad测试网上MON代币余额。\n- [lispking\u002Fmonad-mcp-server](https:\u002F\u002Fgithub.com\u002Flispking\u002Fmonad-mcp-server)：便于与Monad测试网交互，实现代币余额查询、交易处理和智能合约部署。\n- [AyushRatan1\u002FOnfinance-MCP-Polymarket](https:\u002F\u002Fgithub.com\u002FAyushRatan1\u002FOnfinance-MCP-Polymarket)：借助Claude Desktop和自定义数据分析工具，实现实时预测市场的互动。\n- [AlexVagrant\u002Fmonad-mcp](https:\u002F\u002Fgithub.com\u002FAlexVagrant\u002Fmonad-mcp)：通过与Claude Desktop集成的MCP服务器，方便查询Monad测试网上MON代币余额。\n- [apimatic\u002Fpnz-mcp-server](https:\u002F\u002Fgithub.com\u002Fapimatic\u002Fpnz-mcp-server)：通过PaymentsNZ MCP服务器实现安全支付交易，并与Claude Desktop集成以简化操作。\n- [kukapay\u002Fetf-flow-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fetf-flow-mcp)：提供加密ETF资金流动数据，以增强AI智能体的决策能力。\n- [nvmmonkey\u002FRootdata-MCP](https:\u002F\u002Fgithub.com\u002Fnvmmonkey\u002FRootdata-MCP)：通过全面的MCP服务器将RootData的加密资产数据集成到AI应用中，提供详细分析、市场趋势和生态映射。\n- [rawakinode\u002Fmonad-bridge-mcp-server](https:\u002F\u002Fgithub.com\u002Frawakinode\u002Fmonad-bridge-mcp-server)：利用Wormhole桥实现以太坊Sepolia与Monad测试网之间的跨链桥接。\n- [Xiawpohr\u002Fmetamask-mcp](https:\u002F\u002Fgithub.com\u002FXiawpohr\u002Fmetamask-mcp)：在LLM运行期间确保私钥安全的同时，通过MetaMask进行区块链交互。\n- [Veenoway\u002Fmonad-mcp-server](https:\u002F\u002Fgithub.com\u002FVeenoway\u002Fmonad-mcp-server)：使用一套DeFi工具与Monad区块链交互，包括代币兑换、NFT铸造和智能合约部署。\n- [0xanpham\u002Fmy-crypto-mcp](https:\u002F\u002Fgithub.com\u002F0xanpham\u002Fmy-crypto-mcp)：通过连接CoinMarketCap API，借助Claude Desktop提供实时加密货币数据。\n- [aixbt\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Faixbt\u002Fmcp-server)：通过模型上下文协议服务器为AIXBT API提供加密货币数据的获取和分析服务。\n- [DuneRaccoon\u002Ffinancial-markets-analyser](https:\u002F\u002Fgithub.com\u002FDuneRaccoon\u002Ffinancial-markets-analyser)：FastMCP服务器为股票和加密货币提供金融数据端点，并采用多源回退机制以确保可靠性。\n- [thryxagi\u002Fobsd-launchpad](https:\u002F\u002Fgithub.com\u002Fthryxagi\u002Fobsd-launchpad)：为Base上的AI智能体提供完整的代币生命周期MCP。包含12个工具：部署代币、买入、卖出、领取费用、报价、推荐计划以及收益分析，可通过`npx obsd-launchpad-mcp`完成。由国库支持的内在价值下限、累进式卖出税以及37.5%的被动OBSD收益。拥有10个已验证的合约和275项测试。\n- [MardiantoS\u002Falpaca-mcp-server](https:\u002F\u002Fgithub.com\u002FMardiantoS\u002Falpaca-mcp-server)：促进大型语言模型与Alpaca交易API的交互，实现自动化交易操作。\n- [alokamgnaneswarasai\u002Fnuvama-mcp](https:\u002F\u002Fgithub.com\u002Falokamgnaneswarasai\u002Fnuvama-mcp)：将Nuvama交易平台与Claude AI集成，通过FastMCP服务器实现直接交互和交易。\n- [charlesverge\u002Fmcp_open_interest](https:\u002F\u002Fgithub.com\u002Fcharlesverge\u002Fmcp_open_interest)：分析期权未平仓数据，利用特定股票标的的看涨\u002F看跌比率计算市场情绪。\n- [abdulazeem-tk4vr\u002Fshardeum-mcp-server](https:\u002F\u002Fgithub.com\u002Fabdulazeem-tk4vr\u002Fshardeum-mcp-server)：使用标准化RPC方法实现与Shardeum区块链的无缝交互，提升AI和应用程序的集成效果。\n- [redDwarf03\u002Farchethic-uco-mcp](https:\u002F\u002Fgithub.com\u002FredDwarf03\u002Farchethic-uco-mcp)：通过GraphQL API从Archethic网络的OracleChain获取UCO代币实时价格，供AI智能体和应用程序使用。\n- [AI-Strategy-Enablement\u002Fmcp-economic](https:\u002F\u002Fgithub.com\u002FAI-Strategy-Enablement\u002Fmcp-economic)：通过标准化MCP指令，实现与e-conomic API的无缝对接，进行全面的财务管理。\n- [hive-intel\u002Fhive-crypto-mcp](https:\u002F\u002Fgithub.com\u002Fhive-intel\u002Fhive-crypto-mcp) 📇 ☁️ 🏠 - Hive Intelligence：终极加密货币MCP，为AI助手提供统一的加密、DeFi和Web3分析入口。Hive的远程MCP服务器指南[远程服务器](https:\u002F\u002Fhiveintelligence.xyz\u002Fcrypto-mcp)。\n- [pricepertoken\u002Fmcp-server](https:\u002F\u002Fpricepertoken.com\u002Fmcp)：提供实时LLM API定价比较和基准排名，覆盖来自OpenAI、Anthropic、Google、Meta等30余家供应商的100余种模型。无需API密钥。\n- [AIProx MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Faiprox-mcp) - 开放式智能体注册表，按能力发现并雇佣自主AI智能体。现有16个智能体在线。支持比特币闪电网络、Solana USDC和Base x402。内置工作流引擎，可用于串联多个智能体。\n- [LightningProx MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Flightningprox-mcp) - AI智能体的闪电网络支付网关。通过比特币微支付按需访问Claude、GPT-4等模型。具备模型发现、定价、预付消费令牌及自动支付流程等功能。\n- [SolanaProx MCP](https:\u002F\u002Fgithub.com\u002Fsolanaprox\u002Fmcp-server) - AI智能体的Solana\u002FUSDC支付网关。通过USDC微支付按需访问Claude、GPT-4等模型。具备模型发现、定价、实时余额检测以及自动支付流程等功能。\n- [LPXPoly MCP](https:\u002F\u002Fgithub.com\u002Funixlamadev-spec\u002Flpxpoly-mcp) - 基于比特币闪电网络微支付的AI驱动型Polymarket分析。寻找优势机会、分析市场并获取交易信号。按分析次数以聪支付。\n- [xpaysh\u002Fawesome-x402](https:\u002F\u002Fgithub.com\u002Fxpaysh\u002Fawesome-x402)：精选的x402支付协议MCP服务器、工具和资源目录，适用于使用USDC在Base、Arbitrum等EVM链上进行HTTP原生加密货币支付。\n- [arcadia-finance\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Farcadia-finance\u002Fmcp-server)：在Base和Unichain上，利用杠杆、自动化再平衡和收益优化手段管理Uniswap和Aerodrome的流动性头寸。\n- [whitmorelabs\u002Fpolymarket-mcp](https:\u002F\u002Fgithub.com\u002Fwhitmorelabs\u002Fpolymarket-mcp)：为Polymarket预测市场提供的交易情报工具——滑点估计、流动性深度扫描、套利检测、多源价格馈送以及链上钱包情报。\n- [Veroq-api\u002Fveroq-mcp](https:\u002F\u002Fgithub.com\u002FVeroq-api\u002Fveroq-mcp)：金融情报MCP服务器，包含52个工具，用于验证市场数据、生成交易信号、进行情绪分析和事实核查，覆盖1,061余个标的（股票、加密货币、ETF、大宗商品、指数）。采用多供应商架构并配备故障转移机制。安装命令：`npx veroq-mcp`。\n\n## 🧰 框架\n\n- [MervinPraison\u002Fpraisonai-mcp](https:\u002F\u002Fgithub.com\u002FMervinPraison\u002Fpraisonai-mcp)：一个 AI 代理框架，提供 64 多种内置的 MCP 工具，用于搜索、内存管理、工作流编排、代码执行和文件操作。可通过 uvx praisonai-mcp 安装。\n\n旨在帮助开发者轻松构建符合 MCP 标准的服务器或应用程序的工具包、SDK、入门模板或代码框架。\n\n- [johnhenry\u002Fhackernews-mcp](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fhackernews-mcp)：用于创建新 MCP 服务器的模板，具备沙箱 JavaScript 执行和调试日志记录等功能。\n- [CristianCiubancan\u002FYO-mcp](https:\u002F\u002Fgithub.com\u002FCristianCiubancan\u002FYO-mcp)：一个 CLI 工具，可快速使用 FastMCP 搭建支持双传输协议且集成 TypeScript 的 MCP 服务器。\n- [macchen-yu\u002FHSIPL_auto_fastmcp](https:\u002F\u002Fgithub.com\u002Fmacchen-yu\u002FHSIPL_auto_fastmcp)：在 Windows PowerShell 上利用 Python 和 uv 简化 MCP 服务器的搭建与开发流程。\n- [RoryMB\u002FMake_MCP](https:\u002F\u002Fgithub.com\u002FRoryMB\u002FMake_MCP)：便于创建自定义 MCP 服务器，并支持与 Claude Desktop 集成。\n- [trilogy-group\u002Foneroster-ts](https:\u002F\u002Fgithub.com\u002Ftrilogy-group\u002Foneroster-ts)：一个 TypeScript SDK，提供类型安全的接口来与 1EdTech OneRoster API 交互，也可部署为面向 AI 应用的 MCP 服务器。\n- [larryhudson\u002Ffigma-mcp-server](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Ffigma-mcp-server)：基于 TypeScript 的 MCP 服务器模板，专为与 AI 助手及外部工具集成而设计。\n- [php-mcp\u002Flaravel](https:\u002F\u002Fgithub.com\u002Fphp-mcp\u002Flaravel)：将 PHP 的 MCP 服务器包无缝集成到 Laravel 中，使应用能够轻松暴露 MCP 工具、资源和提示。\n- [php-mcp\u002Fserver](https:\u002F\u002Fgithub.com\u002Fphp-mcp\u002Fserver)：一个 PHP 库，用于创建符合 MCP 标准的服务器，实现 PHP 应用与 AI 工具及外部系统的无缝对接。\n- [ArisaTaki\u002FMCP-study](https:\u002F\u002Fgithub.com\u002FArisaTaki\u002FMCP-study)：基于 TypeScript 的 MCP 服务器，提供基础算术运算和动态资源管理功能。\n- [kenken64\u002Fmcp-server-java](https:\u002F\u002Fgithub.com\u002Fkenken64\u002Fmcp-server-java)：一款基于 Java 的 MCP 服务器，专为与 Claude Desktop 应用程序无缝集成而设计。\n- [RemoteMCP\u002FRemote-MCP](https:\u002F\u002Fgithub.com\u002FRemoteMCP\u002FRemote-MCP)：通过类型安全的 MCP 协议，实现模型上下文的远程通信与集中管理。\n- [isuyashpatel\u002Fyox-modelcontextprotocol](https:\u002F\u002Fgithub.com\u002Fisuyashpatel\u002Fyox-modelcontextprotocol)：利用 Node.js 设置和配置 MCP 服务器，以简化集成流程。\n- [tobiassteidle\u002FSpring-Boot-Sample-MCP-Server](https:\u002F\u002Fgithub.com\u002Ftobiassteidle\u002FSpring-Boot-Sample-MCP-Server)：基于 Spring Boot 的服务器，通过 Model Context Protocol 实现与 AI 模型的交互，为 Claude 等 AI 助手提供无缝集成和增强能力。\n- [deepanshu-rawat6\u002FSpring_MCP_Server](https:\u002F\u002Fgithub.com\u002Fdeepanshu-rawat6\u002FSpring_MCP_Server)：一个 Spring Boot 应用，作为 MCP 服务器，通过 AI 驱动的工具公开 Deepanshu Rawat 的相关信息。\n- [xRadne\u002Fmcp-example](https:\u002F\u002Fgithub.com\u002FxRadne\u002Fmcp-example)：演示如何使用 Express.js 和 MCP SDK 创建 MCP 服务器，并通过 Server-Sent Events 实现实时通信。\n- [idsulik\u002Ftodo-mcp-server](https:\u002F\u002Fgithub.com\u002Fidsulik\u002Ftodo-mcp-server)：一个极简的 Todo 应用，利用 MCP 管理和交互任务，作为 MCP 服务器功能的实际展示。\n- [larryhudson\u002Fmcp-server-template](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Fmcp-server-template)：一个 TypeScript 模板，用于创建 MCP 服务器，便于与 AI 助手及外部工具集成。\n- [sinkect\u002Funity-mcp-for-editor](https:\u002F\u002Fgithub.com\u002Fsinkect\u002Funity-mcp-for-editor)：通过 MCP 服务器为 Unity 编辑器与 VSCode IDE 提供工具，实现菜单项执行、游戏对象管理和测试运行等功能。\n- [sinkect\u002Funity-mcp-for-server](https:\u002F\u002Fgithub.com\u002Fsinkect\u002Funity-mcp-for-server)：通过 Node.js 服务器促进 Unity 与 MCP 的集成，实现在 Unity 编辑器中无缝通信和调试。\n- [necto-pro\u002Fjira-mcp-server](https:\u002F\u002Fgithub.com\u002Fnecto-pro\u002Fjira-mcp-server)：一个基于 TypeScript 的 MCP 服务器，实现了笔记系统，配备资源、工具和提示，用于笔记管理和摘要生成。\n- [jdelon02\u002Fchat-orchestrate](https:\u002F\u002Fgithub.com\u002Fjdelon02\u002Fchat-orchestrate)：一个多功能 MCP 服务器，基于 mcp-framework 构建，允许创建和集成自定义工具以增强功能。\n- [Whaleylaw\u002Fpydanticai_mcp_neo4j](https:\u002F\u002Fgithub.com\u002FWhaleylaw\u002Fpydanticai_mcp_neo4j)：利用 Pydantic AI 将 AI 代理与 MCP 服务器集成，实现工具的无缝访问和动态发现。\n- [ivorpad\u002Fynab_mcp](https:\u002F\u002Fgithub.com\u002Fivorpad\u002Fynab_mcp)：一个多功能 MCP 服务器，基于 mcp-framework 构建，支持创建和集成自定义工具以提升功能。\n- [Yordi23\u002Fmcp-playground](https:\u002F\u002Fgithub.com\u002FYordi23\u002Fmcp-playground)：便于在 Cursor 环境中流畅地执行任务和进行沟通。\n- [Bamo-alt\u002Fkam-mcp-server](https:\u002F\u002Fgithub.com\u002FBamo-alt\u002Fkam-mcp-server)：基于 mcp-framework 的 Model Context Protocol 服务器，专为创建和管理点、线、面等元素而设计。\n- [Yantha6\u002Fhandsome-server-python](https:\u002F\u002Fgithub.com\u002FYantha6\u002Fhandsome-server-python)：一个基于 Python 的 MCP 服务器，内置 `who_is_handsome` 函数，可返回友好问候语。\n- [johnnyrootio\u002Fhello-world-mcp](https:\u002F\u002Fgithub.com\u002Fjohnnyrootio\u002Fhello-world-mcp)：一个极简的 FastMCP 服务器，展示了核心 MCP 概念，配备工具、资源和提示，并集成 Uvicorn 以满足生产需求。\n- [vincent-pli\u002Fopenapi-mcpserver-generator](https:\u002F\u002Fgithub.com\u002Fvincent-pli\u002Fopenapi-mcpserver-generator)：一个命令行工具，可根据 OpenAPI 规范生成 MCP 服务器代码，促进 API 与 LLM 之间的无缝对接。\n- [mgd1984\u002Fcursor-rules](https:\u002F\u002Fgithub.com\u002Fmgd1984\u002Fcursor-rules)：便于在 Next.js 应用中集成 Cursor Rules MCP 服务器，为使用 TypeScript 开发提供一致的指导。\n- [wewei\u002Fskill-set](https:\u002F\u002Fgithub.com\u002Fwewei\u002Fskill-set)：一个基于 mcp-framework 的 Model Context Protocol 服务器，支持创建和集成自定义工具以增强功能。\n\n## 🎮 游戏\n\n与游戏引擎、游戏平台\u002FAPI 交互，或提供游戏相关工具的服务器。\n\n- [Signal-Loop\u002FUnityCodeMCPServer](https:\u002F\u002Fgithub.com\u002FSignal-Loop\u002FUnityCodeMCPServer)：通过执行 C# 脚本在 Unity 编辑器中完成任何任务。完全访问 UnityEngine 和 UnityEditor API 以及反射功能。可用于操作 GameObject、场景、组件，或自动化 Unity 编辑器任务。\n- [sedyh\u002Febitengine-mcp](https:\u002F\u002Fgithub.com\u002Fsedyh\u002Febitengine-mcp)：促进 Ebitengine 游戏与 MCP 服务器的集成，以增强游戏控制和管理能力。\n- [ecovacs-ai\u002Fecovacs-mcp](https:\u002F\u002Fgithub.com\u002Fecovacs-ai\u002Fecovacs-mcp)：科沃斯 MCP 服务器可将清洁机器人服务无缝集成到大型模型中，从而实现设备管理和控制操作，如清洁和充电。\n- [ChadAragorn\u002Fdefold-mcp](https:\u002F\u002Fgithub.com\u002FChadAragorn\u002Fdefold-mcp)：一个开源的 MCP 服务器，将 Defold 游戏引擎与现代开发者工具和 AI 工作流集成，支持自动化和实时项目管理。\n- [stefan-xyz\u002Fmcp-server-runescape](https:\u002F\u002Fgithub.com\u002Fstefan-xyz\u002Fmcp-server-runescape)：方便与 RuneScape 数据交互，提供获取物品价格、玩家排名等信息的工具。\n- [SilverHi\u002Fddnet-mcpserver](https:\u002F\u002Fgithub.com\u002FSilverHi\u002Fddnet-mcpserver)：通过基于 FastMCP 的服务器，简化 DDNet 游戏进程管理和配置文件操作。\n- [mario-andreschak\u002Fmcp-gameboy](https:\u002F\u002Fgithub.com\u002Fmario-andreschak\u002Fmcp-gameboy)：使 LLM 能够与 GameBoy 模拟器交互，可通过 Web 界面或 MCP 客户端加载 ROM 并进行控制。\n- [Takashi-Matsumura\u002Fmcp-janken-server](https:\u002F\u002Fgithub.com\u002FTakashi-Matsumura\u002Fmcp-janken-server)：与一个允许 LLM 玩剪刀石头布并随机生成出拳动作的 MCP 服务器对战。\n- [jimmcq\u002FLemonade-Stand-MCP-Server](https:\u002F\u002Fgithub.com\u002Fjimmcq\u002FLemonade-Stand-MCP-Server)：通过 Claude Desktop 使用 Model Context Protocol 服务器体验经典的柠檬水摊游戏，模拟商业动态和战略决策。\n- [u1f992\u002Fmcp-gamecube-bridge](https:\u002F\u002Fgithub.com\u002Fu1f992\u002Fmcp-gamecube-bridge)：通过 MCP 桥接器为客户端提供任天堂 GameCube 的操作支持。\n- [matthijn\u002Fmcp-chess-poc](https:\u002F\u002Fgithub.com\u002Fmatthijn\u002Fmcp-chess-poc)：使用 MCP 驱动的 GUI 界面与 LLM 进行国际象棋对弈。\n- [thirionlogan\u002FAurora-4X-MCP](https:\u002F\u002Fgithub.com\u002Fthirionlogan\u002FAurora-4X-MCP)：通过提供用于管理游戏数据和交互的 Model Context Protocol 服务器，促进与 Aurora 4X 游戏的集成。\n- [ChrisMethsillo\u002FReyxGPT](https:\u002F\u002Fgithub.com\u002FChrisMethsillo\u002FReyxGPT)：ReyxGPT 通过 Model Context Protocol 实现对 Minecraft 服务器的无缝管理，支持通过 RCON 执行命令和监控状态。\n- [Jeremy-Min-Yang\u002Fminecraft-mcp-server-pixel](https:\u002F\u002Fgithub.com\u002FJeremy-Min-Yang\u002Fminecraft-mcp-server-pixel)：利用 Mineflayer API 实现 AI 驱动的 Minecraft 机器人控制，自动建造和探索。\n- [v9rt3x\u002Fcs2-rcon-mcp](https:\u002F\u002Fgithub.com\u002Fv9rt3x\u002Fcs2-rcon-mcp)：通过 Model Context Protocol 界面，使用 RCON 命令远程管理和监控《反恐精英 2》服务器。\n- [passontw\u002Fslotdemo](https:\u002F\u002Fgithub.com\u002Fpassontw\u002Fslotdemo)：一款采用原生 JavaScript、CSS 动画和 Tailwind CSS 构建的现代老虎机游戏，提供流畅且互动的游戏体验。\n- [andrzejsliwa\u002F6510emu_in_c](https:\u002F\u002Fgithub.com\u002Fandrzejsliwa\u002F6510emu_in_c)：一种现代 C 语言实现的 6510\u002F6502 CPU 模拟器，支持反汇编功能，用于 Commodore 64。\n- [8tako8tako8\u002Fsample_mcp_pokemon](https:\u002F\u002Fgithub.com\u002F8tako8tako8\u002Fsample_mcp_pokemon)：使用专门的 MCP 服务器从 PokeAPI 获取宝可梦数据。\n- [h0rv\u002Fd2-mcp](https:\u002F\u002Fgithub.com\u002Fh0rv\u002Fd2-mcp)：促进 D2 图表的创建和验证融入开发工作流，提供语法校验和渲染功能。\n- [kyopark2014\u002Fmcp-bedrock-agent](https:\u002F\u002Fgithub.com\u002Fkyopark2014\u002Fmcp-bedrock-agent)：使 Amazon 的 Bedrock 代理能够与 MCP 配合使用，从而在生成式 AI 应用中无缝访问工具和资源。\n- [Panth1823\u002Fformula1-mcp](https:\u002F\u002Fgithub.com\u002FPanth1823\u002Fformula1-mcp)：通过基于 TypeScript 的 MCP 服务器，体验 Formula 1 的激情，获取实时及历史赛事数据。\n- [hahanikan\u002Fpocket-cavalry](https:\u002F\u002Fgithub.com\u002Fhahanikan\u002Fpocket-cavalry)：通过 Model Context Protocol 服务器，实现对 Gitee 仓库、问题和拉取请求的 AI 驱动管理。\n- [attilad\u002Fbgg-mcp-server](https:\u002F\u002Fgithub.com\u002Fattilad\u002Fbgg-mcp-server)：促进与 BoardGameGeek API 的无缝集成，高效检索和同步桌游数据及用户收藏。\n- [jlgrimes\u002Fptcg-mcp](https:\u002F\u002Fgithub.com\u002Fjlgrimes\u002Fptcg-mcp)：使 Claude 能够搜索并显示宝可梦交易卡牌，提供详细的筛选选项。\n- [xhulz\u002Fmcp-game-helper](https:\u002F\u002Fgithub.com\u002Fxhulz\u002Fmcp-game-helper)：为游戏开发者提供 AI 驱动的工具，优化战斗平衡、技能分析和关卡节奏。\n- [appleweed\u002FUnrealMCPBridge](https:\u002F\u002Fgithub.com\u002Fappleweed\u002FUnrealMCPBridge)：为 MCP 客户端提供对 Unreal Engine Python API 的访问权限，支持在 UE 环境中进行动态工具开发和自动化。\n- [wangyafu\u002Fhaiguitangmcp](https:\u002F\u002Fgithub.com\u002Fwangyafu\u002Fhaiguitangmcp)：让大型语言模型充当游戏主持人，实现单人玩“乌龟汤”游戏。\n- [kdqed\u002Fzaturn](https:\u002F\u002Fgithub.com\u002Fkdqed\u002Fzaturn)：Zaturn 是一款由 AI 驱动的数据分析和商业智能工具，可连接多种数据源、执行 SQL 查询并生成洞察力强的可视化图表，所有功能均集成为 MCP 服务器。\n- [weekitmo\u002Fmcp_godot_rag](https:\u002F\u002Fgithub.com\u002Fweekitmo\u002Fmcp_godot_rag)：通过 MCP 服务器为 Godot RAG 模型提供对 Godot 文档的访问。\n\n## ⚙️ 硬件与物联网\n\n用于控制硬件设备、与嵌入式系统交互、进行串口通信、操作3D打印机或智能家居系统的服务器。\n\n- [kukapay\u002Fmodbus-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fmodbus-mcp)：标准化并上下文化Modbus数据，实现AI智能体与工业物联网系统的无缝集成。\n- [zradlicz\u002Fparticle-mcp-server](https:\u002F\u002Fgithub.com\u002Fzradlicz\u002Fparticle-mcp-server)：通过自然语言指令，助力AI驱动的Particle物联网设备管理。\n- [Volt23\u002Fmcp-arduino-server](https:\u002F\u002Fgithub.com\u002FVolt23\u002Fmcp-arduino-server)：通过将MCP与Arduino CLI桥接，简化Arduino开发流程，支持草图、板卡、库及文件管理。\n- [xiangmy21\u002Fiotdb-mcp-server-TreeModel](https:\u002F\u002Fgithub.com\u002Fxiangmy21\u002Fiotdb-mcp-server-TreeModel)：借助IoTDB数据库和SQL查询能力，促进数据库交互与商业智能分析。\n- [liorfranko\u002Fhome-assistant-mcp](https:\u002F\u002Fgithub.com\u002Fliorfranko\u002Fhome-assistant-mcp)：将Anthropic的Claude与Home Assistant集成，实现对家居自动化系统的自然语言控制与监控。\n- [dhavalgujar\u002Fesp-rainmaker-mcp](https:\u002F\u002Fgithub.com\u002Fdhavalgujar\u002Fesp-rainmaker-mcp)：利用ESP-Rainmaker CLI，通过兼容MCP的客户端与ESP RainMaker设备进行交互。\n- [hussam0is\u002Fsolidworks-mcp-server](https:\u002F\u002Fgithub.com\u002Fhussam0is\u002Fsolidworks-mcp-server)：允许AI助手通过自然语言请求在SolidWorks中执行CAD操作。\n- [srmorete\u002Fadb-mcp](https:\u002F\u002Fgithub.com\u002Fsrmorete\u002Fadb-mcp)：基于TypeScript的MCP服务器，促进AI模型与Android设备之间的ADB交互。\n- [ioehub\u002Fioehub-mqtt-mcp-server](https:\u002F\u002Fgithub.com\u002Fioehub\u002Fioehub-mqtt-mcp-server)：利用FastMCP框架，通过MQTT协议实现物联网设备间的通信，用于温度感知和LED控制。\n- [simon-duchastel\u002Flifx-lan-mcp](https:\u002F\u002Fgithub.com\u002Fsimon-duchastel\u002Flifx-lan-mcp)：使用Model Context Protocol，让AI智能体能够通过本地网络控制LIFX灯具。\n- [edi3on\u002Fpy-ue5-mcp-server](https:\u002F\u002Fgithub.com\u002Fedi3on\u002Fpy-ue5-mcp-server)：实现与Unreal Engine 5的自然语言交互，用户可通过与Claude的对话命令创建和操作3D对象及蓝图Actor。\n- [isseikz\u002Fmcp-adb](https:\u002F\u002Fgithub.com\u002Fisseikz\u002Fmcp-adb)：通过ADB使AI助手与Android设备交互，支持截屏、按键事件控制及设备管理等功能。\n- [shelwyn\u002Fmcp_control_table_lamp](https:\u002F\u002Fgithub.com\u002Fshelwyn\u002Fmcp_control_table_lamp)：利用NodeMCU和MQTT通信，通过HiveMQ云服务远程控制台灯。\n- [Guidogl\u002Fdevice-info-mcp](https:\u002F\u002Fgithub.com\u002FGuidogl\u002Fdevice-info-mcp)：通过Model Context Protocol服务器，方便获取设备信息及故障排除。\n- [apache\u002Fiotdb-mcp-server](https:\u002F\u002Fgithub.com\u002Fapache\u002Fiotdb-mcp-server)：借助IoTDB数据库和SQL查询能力，促进数据库交互与商业智能分析。\n- [alecf\u002Fairtop-mcp](https:\u002F\u002Fgithub.com\u002Falecf\u002Fairtop-mcp)：通过Model Context Protocol服务器，便于与Airtop的浏览器自动化服务交互。\n- [omni-mcp\u002Fisaac-sim-mcp](https:\u002F\u002Fgithub.com\u002Fomni-mcp\u002Fisaac-sim-mcp)：实现对NVIDIA Isaac Sim的自然语言控制，用于动态机器人仿真和场景操控。\n- [JackieTien97\u002Fiotdb_mcp_server](https:\u002F\u002Fgithub.com\u002FJackieTien97\u002Fiotdb_mcp_server)：通过受控的MCP接口，安全且结构化地推动AI驱动的IoTDB数据库探索与分析。\n- [sankhodeep\u002Fandroid-adb-controller](https:\u002F\u002Fgithub.com\u002Fsankhodeep\u002Fandroid-adb-controller)：利用ADB命令实现AI驱动的Android设备控制，支持设备列表查看、屏幕点击等功能。\n- [github-hewei\u002Fmcp-android-adb-server](https:\u002F\u002Fgithub.com\u002Fgithub-hewei\u002Fmcp-android-adb-server)：通过ADB命令管理Android设备，并结合视觉模型集成，提供屏幕内容描述功能。\n- [wolfcoming\u002Fadb_mcp_server](https:\u002F\u002Fgithub.com\u002Fwolfcoming\u002Fadb_mcp_server)：基于MCP协议，远程控制Android设备，支持设备管理、屏幕操作、输入动作、应用管理等功能。\n- [ambar\u002Fsimctl-mcp](https:\u002F\u002Fgithub.com\u002Fambar\u002Fsimctl-mcp)：通过Model Context Protocol服务器，实现对iOS模拟器的广泛设备与应用管理。\n- [coffeenmusic\u002Faltium-mcp](https:\u002F\u002Fgithub.com\u002Fcoffeenmusic\u002Faltium-mcp)：基于Python的MCP服务器，便于与Altium Designer交互，进行PCB设计操作与查询。\n- [kukapay\u002Fopcua-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Fopcua-mcp)：将AI智能体接入支持OPC UA的工业系统，实现实时数据监控与控制。\n- [daobataotie\u002FCAD-MCP](https:\u002F\u002Fgithub.com\u002Fdaobataotie\u002FCAD-MCP)：CAD-MCP支持跨多个软件平台的自然语言驱动CAD操作，通过直观的文本命令简化设计流程。\n- [horw\u002Fesp-mcp](https:\u002F\u002Fgithub.com\u002Fhorw\u002Fesp-mcp)：通过MCP集成，简化esp-idf项目的构建过程，并自动解决常见问题。\n- [radial-hks\u002Fmcp-wdpcameracontrol-server](https:\u002F\u002Fgithub.com\u002Fradial-hks\u002Fmcp-wdpcameracontrol-server)：基于TypeScript的MCP服务器，实现简单的笔记系统，配备资源、工具和提示，用于笔记管理和摘要生成。\n- [amanasmuei\u002Fmcp-server-nodemcu](https:\u002F\u002Fgithub.com\u002Famanasmuei\u002Fmcp-server-nodemcu)：利用Model Context Protocol，实时通信并集成AI技术，管理与控制NodeMCU物联网设备。\n- [zerubeus\u002Felektron-mcp](https:\u002F\u002Fgithub.com\u002Fzerubeus\u002Felektron-mcp)：通过MIDI协议，促进LLM与Elektron合成器之间的交互，实现声音的实时控制与创作。\n- [noboru-i\u002Fnature-remo-mcp-server](https:\u002F\u002Fgithub.com\u002Fnoboru-i\u002Fnature-remo-mcp-server)：借助Model Context Protocol SDK，实现Nature Remo设备的自动化与管理。\n- [octoco-ltd\u002Fsheetsdata-mcp](https:\u002F\u002Fgithub.com\u002Foctoco-ltd\u002Fsheetsdata-mcp)：为AI智能体即时提供电子元件的数据手册——规格参数、引脚排列、封装信息及绝对最大额定值等，均可从制造商PDF中按需提取。\n\n## ❤️ 医疗健康与生命科学\n\n与医疗健康标准、医学文献数据库、生物信息学资源或特定医疗健康平台集成的服务器。\n\n- [fastomop\u002Fomcp_a2a](https:\u002F\u002Fgithub.com\u002Ffastomop\u002Fomcp_a2a)：通过模块化的MCP服务器和A2A协议集成，促进LLM驱动的OMOP格式医疗健康数据分析。\n- [deak-ai\u002Fopenehr-mcp-server](https:\u002F\u002Fgithub.com\u002Fdeak-ai\u002Fopenehr-mcp-server)：实现与openEHR REST API的无缝集成，支持电子健康记录和文档的创建与管理。\n- [shinichi-takayanagi\u002Fmyweight-mcp-server](https:\u002F\u002Fgithub.com\u002Fshinichi-takayanagi\u002Fmyweight-mcp-server)：连接Health Planet API，使用任何MCP兼容客户端安全地检索和分析体重数据。\n- [gosset-ai\u002Fmcps](https:\u002F\u002Fgithub.com\u002Fgosset-ai\u002Fmcps)：一套MCP服务器，使AI助手能够访问并交互各类生物医学数据库和资源，用于科研目的。\n- [AndrewKlement\u002Fgaggiuino-mcp](https:\u002F\u002Fgithub.com\u002FAndrewKlement\u002Fgaggiuino-mcp)：为Gaggiuino浓缩咖啡机控制器提供实时数据分析与显示功能，允许AI客户端访问萃取遥测数据和机器状态。\n- [BioContext\u002FBioContext-main](https:\u002F\u002Fgithub.com\u002FBioContext\u002FBioContext-main)：BioContext通过一系列MCP服务器，与主要生物数据库实现无缝集成，助力AI驱动的数据访问与分析。\n- [johnie\u002Foura-mcp](https:\u002F\u002Fgithub.com\u002Fjohnie\u002Foura-mcp)：通过MCP服务器与Oura Ring数据交互，提供个人健康指标的相关接口。\n- [Deep-Intelligent-Pharma\u002FTranslationx-mcp-server](https:\u002F\u002Fgithub.com\u002FDeep-Intelligent-Pharma\u002FTranslationx-mcp-server)：基于Python的MCP服务器，与TranslationX集成，促进翻译任务的执行。\n- [sheffler\u002Fmcp-server-lims](https:\u002F\u002Fgithub.com\u002Fsheffler\u002Fmcp-server-lims)：通过模拟仪器数据处理并与MCP工具集成，助力AI驱动的实验室工作流管理。\n- [andyrewlee\u002Fdad-mcp](https:\u002F\u002Fgithub.com\u002Fandyrewlee\u002Fdad-mcp)：利用远程MCP服务器结合AI技术，为家庭教育提供创新的学习体验。\n- [entropic-digital\u002Fbioinformatics-mcp-example](https:\u002F\u002Fgithub.com\u002Fentropic-digital\u002Fbioinformatics-mcp-example)：通过基于Docker的MCP服务器与Claude Desktop集成，支持生物信息学任务。\n- [JackKuo666\u002FClinicalTrials-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FClinicalTrials-MCP-Server)：通过简化的MCP界面，促进AI驱动的ClinicalTrials.gov数据搜索与访问，提升健康科学研究效率。\n- [shaunporwal\u002FDICOM-MCP](https:\u002F\u002Fgithub.com\u002Fshaunporwal\u002FDICOM-MCP)：通过笔记存储系统与DICOM图像交互，实现笔记摘要与管理功能。\n- [jmandel\u002Fhealth-record-mcp](https:\u002F\u002Fgithub.com\u002Fjmandel\u002Fhealth-record-mcp)：利用SMART on FHIR实现AI对电子健康记录的安全访问，通过MCP工具进行全面的数据检索与分析。\n- [codingaslu\u002FPubMed-MCP-Server](https:\u002F\u002Fgithub.com\u002Fcodingaslu\u002FPubMed-MCP-Server)：借助FastMCP框架，使用BioPython的Entrez模块异步搜索PubMed中的文章摘要。\n- [AgentDank\u002Fdank-mcp](https:\u002F\u002Fgithub.com\u002FAgentDank\u002Fdank-mcp)：专用于查询和分析大麻相关数据集的MCP服务器，设计用于与Claude Desktop等LLM集成。\n- [genomoncology\u002Fbiomcp](https:\u002F\u002Fgithub.com\u002Fgenomoncology\u002Fbiomcp)：BioMCP利用模型上下文协议，使LLM能够访问并交互关键的生物医学数据库，支持高级搜索和数据提取。\n- [BioMCP-Hub\u002FPubTator-MCP-Server](https:\u002F\u002Fgithub.com\u002FBioMCP-Hub\u002FPubTator-MCP-Server)：通过MCP接口，借助PubTator3系统，实现AI驱动的生物医学文献标注与关系挖掘。\n- [eiz\u002Ffooddb](https:\u002F\u002Fgithub.com\u002Feiz\u002Ffooddb)：以智能关键词和语义向量搜索能力查询USDA食品数据中心。\n- [AojdevStudio\u002Fopen-dental-mcp](https:\u002F\u002Fgithub.com\u002FAojdevStudio\u002Fopen-dental-mcp)：利用Qdrant向量数据库，实现自然语言查询OpenDental文档的功能。\n- [JackKuo666\u002FPubTator-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FPubTator-MCP-Server)：通过MCP接口，借助PubTator3系统，促进AI驱动的生物医学文献标注与关系挖掘。\n- [ahnlabio\u002Fbicscan-mcp](https:\u002F\u002Fgithub.com\u002Fahnlabio\u002Fbicscan-mcp)：利用BICScan API，提供区块链地址的风险评分及资产信息的实时更新。\n- [yoda-digital\u002Fmcp-cerebra-legal-server](https:\u002F\u002Fgithub.com\u002Fyoda-digital\u002Fmcp-cerebra-legal-server)：Cerebra Legal是一款企业级法律推理与分析服务器，提供领域专用工具，支持结构化法律思维、后续提问及结果展示。\n- [uh-joan\u002Fcortellis-mcp-server](https:\u002F\u002Fgithub.com\u002Fuh-joan\u002Fcortellis-mcp-server)：在Cortellis数据库中实现药物搜索与本体探索，提供全面的药物研发洞察和财务数据。\n- [amanasmuei\u002Fmcp-server-malaysia-prayer-time](https:\u002F\u002Fgithub.com\u002Famanasmuei\u002Fmcp-server-malaysia-prayer-time)：为马来西亚提供实时的伊斯兰祈祷时间，并通过MCP与Claude Desktop无缝集成。\n- [ryoureddy\u002Fmedadapt-content-server](https:\u002F\u002Fgithub.com\u002Fryoureddy\u002Fmedadapt-content-server)：通过将Claude Desktop与医学知识源集成，促进AI辅助的医学学习，实现全面的内容检索与分析。\n- [MediFinderBot\u002Fmedifinder-mcp](https:\u002F\u002Fgithub.com\u002FMediFinderBot\u002Fmedifinder-mcp)：为AI助手提供安全的药品库存查询通信渠道，支持基于位置的搜索及WhatsApp集成。\n- [ChatMol\u002Fmolecule-mcp](https:\u002F\u002Fgithub.com\u002FChatMol\u002Fmolecule-mcp)：通过模型上下文协议，将分子科学工具与Claude AI集成，助力分子建模。\n- [jagan-shanmugam\u002Fclimatiq-mcp-server](https:\u002F\u002Fgithub.com\u002Fjagan-shanmugam\u002Fclimatiq-mcp-server)：利用Climatiq API，为AI助手提供实时碳排放计算和气候影响分析。\n- [elizabethtrykin\u002F8sleep-mcp](https:\u002F\u002Fgithub.com\u002Felizabethtrykin\u002F8sleep-mcp)：通过模型上下文协议服务器，访问和控制Eight Sleep Pod的数据与设置。\n\n## 🏛️ 基础设施\n\n为MCP提供核心运行时功能的服务器或系统，例如代理、聚合、编排、托管、路由或充当网关。\n\n- [agiletec-inc\u002Fairis-mcp-gateway](https:\u002F\u002Fgithub.com\u002Fagiletec-inc\u002Fairis-mcp-gateway)：基于Docker的MCP多路复用器，在7个元工具背后聚合60多种工具，实现97%的令牌减少，具备懒加载、空闲杀进程、熔断器和API密钥认证等功能。\n- [lijian-ui\u002Fvcenter-mcp-server](https:\u002F\u002Fgithub.com\u002Flijian-ui\u002Fvcenter-mcp-server)：促进与vCenter Server的无缝集成，以高效管理虚拟机，包括迁移和信息检索。\n- [chris-sun-star\u002Fmcp-server-k8s](https:\u002F\u002Fgithub.com\u002Fchris-sun-star\u002Fmcp-server-k8s)：通过简单的MCP服务器设置，促进Kubernetes与Claude Desktop的集成。\n- [Michael98671\u002Fagentbay](https:\u002F\u002Fgithub.com\u002FMichael98671\u002Fagentbay)：AgentBay MCP服务器为AI智能体提供无服务器云基础设施，借助阿里云无影平台，实现AI任务的快速集成与执行。\n- [shaxiaozz\u002Fprometheus-mcp-server](https:\u002F\u002Fgithub.com\u002Fshaxiaozz\u002Fprometheus-mcp-server)：基于Golang的服务器，与Prometheus集成，通过模型上下文协议提供实时指标查询和探索功能。\n- [LuizBranco-ClickHype\u002FVPS-MCP-SERVER](https:\u002F\u002Fgithub.com\u002FLuizBranco-ClickHype\u002FVPS-MCP-SERVER)：使用自然语言命令自动化MCP服务器的部署和管理，用于基础设施管理。\n- [messageaid\u002Fmcp](https:\u002F\u002Fgithub.com\u002Fmessageaid\u002Fmcp)：支持多消息代理，可在RabbitMQ、Azure服务总线和SQS之间进行消息中介。\n- [3loka\u002Fconsul-mcp-server](https:\u002F\u002Fgithub.com\u002F3loka\u002Fconsul-mcp-server)：通过自然语言交互，促进对Consul服务发现和网格的AI驱动分析与管理。\n- [pcholakov\u002Frestate-mcp-server](https:\u002F\u002Fgithub.com\u002Fpcholakov\u002Frestate-mcp-server)：通过MCP服务器接口，促进Restate服务的管理和部署。\n- [kocierik\u002Fmcp-nomad](https:\u002F\u002Fgithub.com\u002Fkocierik\u002Fmcp-nomad)：基于Golang的服务器，促进与Nomad的无缝集成，用于作业管理和监控。\n- [FunnyPuppet\u002Fmcp-s3-server](https:\u002F\u002Fgithub.com\u002FFunnyPuppet\u002Fmcp-s3-server)：提供全面的命令集来管理存储桶和对象，方便对象存储操作。\n- [kocierik\u002Fconsul-mcp-server](https:\u002F\u002Fgithub.com\u002Fkocierik\u002Fconsul-mcp-server)：通过标准化的MCP接口，促进与Consul的服务管理、健康检查、KV存储等的交互。\n- [Cognitive-Stack\u002Fares-devops-mcp](https:\u002F\u002Fgithub.com\u002FCognitive-Stack\u002Fares-devops-mcp)：促进Azure DevOps Git仓库的无缝集成与管理，实现安全操作和流水线自动化。\n- [kmathur\u002Fmcp-server-kubernetes](https:\u002F\u002Fgithub.com\u002Fkmathur\u002Fmcp-server-kubernetes)：通过模型上下文协议服务器，促进Kubernetes集群管理，支持Pod管理、命名空间创建和Helm图表安装等操作。\n- [AdLibML\u002Fmcpserver](https:\u002F\u002Fgithub.com\u002FAdLibML\u002Fmcpserver)：使用FastAPI和Docker部署数学、天气和Brave搜索服务，通过MCP协议实现远程访问。\n- [aliyun\u002Falibaba-cloud-ops-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibaba-cloud-ops-mcp-server)：通过综合性的MCP服务器，管理和自动化阿里云资源，促进云运维。\n- [bourbonkk\u002Fk8s-pilot](https:\u002F\u002Fgithub.com\u002Fbourbonkk\u002Fk8s-pilot)：集中式控制平面服务器，可通过直观的API和多集群上下文切换来管理多个Kubernetes集群。\n- [kartikgajjar\u002Fmcp-server](https:\u002F\u002Fgithub.com\u002Fkartikgajjar\u002Fmcp-server)：通过演示版MCP服务器设置，促进与Elastic Search的集成。\n- [Markermav\u002FProxmoxMCP-advance](https:\u002F\u002Fgithub.com\u002FMarkermav\u002FProxmoxMCP-advance)：利用高级功能（如VM配置、命令执行和资源监控）管理和自动化Proxmox虚拟机及集群。\n- [ayushps1\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fayushps1\u002Fremote-mcp-server)：在Cloudflare Workers上部署并管理远程MCP服务器，支持OAuth登录，并与Claude Desktop集成。\n- [iannuttall\u002Fflux-ui-mcp](https:\u002F\u002Fgithub.com\u002Fiannuttall\u002Fflux-ui-mcp)：基于TypeScript的服务器，通过模型上下文协议为AI助手提供Flux UI组件的文档和示例。\n- [Houlong66\u002Fmns-mcp-server](https:\u002F\u002Fgithub.com\u002FHoulong66\u002Fmns-mcp-server)：通过MCP框架管理阿里巴巴云消息服务队列，允许通过配置文件轻松集成和操作。\n- [melihteke\u002FSubnet-Calculator-MCP-Server](https:\u002F\u002Fgithub.com\u002Fmelihteke\u002FSubnet-Calculator-MCP-Server)：通过MCP服务器和SSE传输，使用CIDR表示法进行子网计算。\n- [stolostron\u002Fserver-foundation-dev-context](https:\u002F\u002Fgithub.com\u002Fstolostron\u002Fserver-foundation-dev-context)：通过MCP服务器与代码智能体集成，促进服务器基础库的设置和管理。\n- [ardecode\u002Fnetbox-mcp-server](https:\u002F\u002Fgithub.com\u002Fardecode\u002Fnetbox-mcp-server)：连接到NetBox，暴露网络基础设施数据，供Claude等兼容MCP的LLM使用。\n- [G1L1-Tech\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FG1L1-Tech\u002Fremote-mcp-server)：在Cloudflare Workers上部署远程MCP服务器，支持OAuth登录，并将其连接到Claude Desktop，实现工具的无缝调用。\n- [ap425q\u002FCutterMCP](https:\u002F\u002Fgithub.com\u002Fap425q\u002FCutterMCP)：利用Cutter的核心功能，促进LLM对应用程序的自主逆向工程。\n- [cappt-team\u002Fmcp-server-nodejs](https:\u002F\u002Fgithub.com\u002Fcappt-team\u002Fmcp-server-nodejs)：使用NodeJS结合Cappt生成提纲和演示文稿。\n- [devilofdev\u002Fmcp-config](https:\u002F\u002Fgithub.com\u002Fdevilofdev\u002Fmcp-config)：促进多个MCP服务器的配置和管理，包括文件系统、Obsidian和Git集成。\n- [koudaiDemon\u002Fmcp-server-hand](https:\u002F\u002Fgithub.com\u002FkoudaiDemon\u002Fmcp-server-hand)：通过分析对话内容，利用智能标签匹配为用户提供个性化产品推荐，从而提升购物体验。\n- [Humboldtian\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FHumboldtian\u002Fremote-mcp-server)：在Cloudflare Workers上部署远程MCP服务器，支持OAuth登录，并将其连接到Claude Desktop，实现工具的无缝集成。\n- [mcpjungle\u002FMCPJungle](https:\u002F\u002Fgithub.com\u002Fmcpjungle\u002FMCPJungle)：面向AI智能体的自托管MCP注册表和网关。\n- [stucchi\u002Fmcp-advisor](https:\u002F\u002Fgithub.com\u002Fstucchi\u002Fmcp-advisor)：浏览、搜索并发现来自官方注册表的7,000多个MCP服务器。可按名称、标签或传输方式搜索，获取任何客户端的安装说明，并查看热门服务器。\n\n## 🧠 知识管理与记忆\n\n用于连接个人知识库、闪卡应用，构建或查询知识图谱，或为大语言模型提供持久化记忆的服务器。\n\n- [novyxlabs\u002Fnovyx-mcp](https:\u002F\u002Fgithub.com\u002Fnovyxlabs\u002Fnovyx-mcp)：面向AI智能体的持久化内存，配备107种工具：记忆、回忆、回滚、审计、知识图谱、受控行动、评估、Cortex以及Runtime v2智能体编排。支持本地SQLite（零配置）或Novyx云。可通过`uvx novyx-mcp`安装。MIT许可证。\n- [yantrikos\u002Fyantrikdb-mcp](https:\u002F\u002Fgithub.com\u002Fyantrikos\u002Fyantrikdb-mcp)：面向AI智能体的认知记忆——具备知识图谱、自适应回忆、冲突检测、实体关系及跨会话记忆整合功能的持久性语义记忆。包含24种工具。兼容Claude Code、Cursor、Windsurf以及任何MCP客户端。\n- [Evanyuan-builder\u002Fmemory-core](https:\u002F\u002Fgithub.com\u002FEvanyuan-builder\u002Fmemory-core)：面向AI智能体和团队的统一记忆层。提供语义搜索、时间序列事实追踪（Graphiti\u002FFalkorDB）以及通过REST API、Python SDK和MCP服务器实现的共享记忆功能。支持本地Ollama，无需云API密钥。\n- [GuyMannDude\u002Fmnemo-cortex](https:\u002F\u002Fgithub.com\u002FGuyMannDude\u002Fmnemo-cortex)：面向AI智能体的持久化跨智能体语义记忆（v2.0）。以隐私为先的共享开关（单独\u002F始终\u002F从不，并可按会话切换）。多智能体架构，隔离写入并控制读取权限。优先使用本地SQLite + FTS5，通过本地Ollama实现零成本压缩。提供三种集成方式：Claude Code、Claude Desktop和OpenClaw MCP。\n- [Bpolat0\u002Fatlasmemory](https:\u002F\u002Fgithub.com\u002FBpolat0\u002Fatlasmemory)：基于证据的代码库AI记忆。Tree-sitter索引（11种语言）、带行:哈希锚点的证明系统、基于令牌预算的上下文包、漂移检测、跨会话学习。包含28种MCP工具，配有VS Code扩展，零配置。\n- [gdcc\u002Fmcp-dataverse](https:\u002F\u002Fgithub.com\u002Fgdcc\u002Fmcp-dataverse)：利用Croissant ML在Dataverse中促进多语言数据集成与探索。\n- [digila\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fdigila\u002Flinear-mcp)：基于TypeScript的MCP服务器，用于管理和摘要文本笔记，支持基于URI的访问及LLM集成。\n- [xsp52Hz\u002Fcognigraph-mcp-server](https:\u002F\u002Fgithub.com\u002Fxsp52Hz\u002Fcognigraph-mcp-server)：CogniGraph MCP服务器利用CLI工具和AI分析生成思维导图、关系图和知识图谱，兼容各类本地MCP客户端。\n- [johnhenry\u002Fmcp-server-ipfs-context](https:\u002F\u002Fgithub.com\u002Fjohnhenry\u002Fmcp-server-ipfs-context)：借助IPFS存储和检索对话上下文，实现无缝的会话连续性。\n- [upamune\u002Fduckdb-hybrid-doc-search](https:\u002F\u002Fgithub.com\u002Fupamune\u002Fduckdb-hybrid-doc-search)：利用DuckDB对Markdown文档进行混合索引与搜索，通过MCP stdio服务器将全文检索和向量检索能力与AI编码智能体结合。\n- [ipospelov\u002Fmcp-memory-bank](https:\u002F\u002Fgithub.com\u002Fipospelov\u002Fmcp-memory-bank)：通过Memory Bank系统，为AI环境中的上下文保存提供结构化文档支持。\n- [brian3814\u002Fnotion_fastmcp](https:\u002F\u002Fgithub.com\u002Fbrian3814\u002Fnotion_fastmcp)：通过与Cursor IDE集成的MCP服务器，在Notion中实现任务管理。\n- [KerolIA98\u002Fmcp-sample](https:\u002F\u002Fgithub.com\u002FKerolIA98\u002Fmcp-sample)：一个与Mem0集成的模板MCP服务器，使AI智能体能够通过语义搜索和存储来管理长期记忆。\n- [mkusaka\u002Fmcp-server-memory](https:\u002F\u002Fgithub.com\u002Fmkusaka\u002Fmcp-server-memory)：利用本地知识图谱的持久化内存服务器，使Claude能够在多次交互中保留用户信息。\n- [Arc-Computer\u002Farc-mcp-server](https:\u002F\u002Fgithub.com\u002FArc-Computer\u002Farc-mcp-server)：Arc Memory MCP服务器连接Arc Memory TKG与MCP客户端，通过结构化、时间序列的知识图谱访问，助力AI辅助开发。\n- [LeandroPG19\u002Fcuba-memorys](https:\u002F\u002Fgithub.com\u002FLeandroPG19\u002Fcuba-memorys)：面向AI智能体的持久化内存，配备13种古巴命名的MCP工具。知识图谱采用赫布学习、指数衰减、混合搜索（RRF + pgvector）、防幻觉校准、错误记忆和REM睡眠巩固等功能。基于Rust和PostgreSQL。\n- [jordankamto\u002Fcode-explorer-mcp](https:\u002F\u002Fgithub.com\u002Fjordankamto\u002Fcode-explorer-mcp)：基于TypeScript的服务器，使用模型上下文协议管理并摘要文本笔记。\n- [meetdhanani17\u002Fxgmem](https:\u002F\u002Fgithub.com\u002Fmeetdhanani17\u002Fxgmem)：基于TypeScript的MCP服务器，用于管理LLM智能体和工具的项目特定及跨项目知识图谱记忆。\n- [jodli\u002Fgit-github.com-jodli-factorio-modding-api](https:\u002F\u002Fgithub.com\u002Fjodli\u002Fgit-github.com-jodli-factorio-modding-api)：基于TypeScript的服务器，允许通过模型上下文协议查询访问Factorio Modding API文档。\n- [Svtter\u002Fchatdb](https:\u002F\u002Fgithub.com\u002FSvtter\u002Fchatdb)：ChatDB作为GPT的记忆层，将对话记录在SQLite中，增强对话上下文的保持能力。\n- [tejasPhaveri\u002Fcustom-instructions](https:\u002F\u002Fgithub.com\u002FtejasPhaveri\u002Fcustom-instructions)：通过Context7和Sequential Thinking MCP工具增强ultimatememory系统，以改善记忆管理和任务执行。\n- [Im-neko\u002Fmcp-wikijs](https:\u002F\u002Fgithub.com\u002FIm-neko\u002Fmcp-wikijs)：通过基于TypeScript的MCP服务器，使AI模型能够与WikiJS内容交互，实现文档的搜索、创建和管理。\n- [fazer-ai\u002Fmcp-obsidian](https:\u002F\u002Fgithub.com\u002Ffazer-ai\u002Fmcp-obsidian)：通过本地REST API使Claude与Obsidian vault互动，实现无缝的笔记管理和搜索功能。\n- [fmicalizzi\u002Fmcp-read-json](https:\u002F\u002Fgithub.com\u002Ffmicalizzi\u002Fmcp-read-json)：便于读取和查询基于JSON的知识库，从而与Claude等LLM无缝对接。\n- [PyneSys\u002Fproject-mem-mcp](https:\u002F\u002Fgithub.com\u002FPyneSys\u002Fproject-mem-mcp)：帮助AI智能体维护持久化的项目记忆，通过记忆文件系统实现在交互过程中信息的无缝检索和更新。\n- [ndlxp2008\u002Fmcp-temple](https:\u002F\u002Fgithub.com\u002Fndlxp2008\u002Fmcp-temple)：基于TypeScript的MCP服务器，实现简单的笔记系统，具备基于URI的资源管理和笔记摘要工具。\n- [dwarvesf\u002Fmcp-playbook](https:\u002F\u002Fgithub.com\u002Fdwarvesf\u002Fmcp-playbook)：利用Node.js和GitHub API交互，在指定目录内管理项目文档并保存对话日志。\n- [amphora\u002Fpatentsafe-mcp](https:\u002F\u002Fgithub.com\u002Famphora\u002Fpatentsafe-mcp)：连接PatentSafe，使用原始Lucene查询获取文档。\n- [KawaroX\u002Fcodex-vitea-mcp](https:\u002F\u002Fgithub.com\u002FKawaroX\u002Fcodex-vitea-mcp)：专为ViteaOS设计的MCP服务器，将AI助手与MongoDB连接，用于管理个人信息，包括物品位置、行程时间估算、联系人管理、生物数据分析和任务跟踪。\n- [jzumwalt\u002Fgit-mcp](https:\u002F\u002Fgithub.com\u002Fjzumwalt\u002Fgit-mcp)：GitMCP将GitHub项目转化为文档中心，使AI工具能够访问最新文档和代码，减少幻觉并提高代码准确性。\n- [shifusen329\u002Fdoc-lib-mcp](https:\u002F\u002Fgithub.com\u002Fshifusen329\u002Fdoc-lib-mcp)：通过自定义URI方案和强大的内容提取工具，实现文档摄取、分块、语义搜索和笔记管理。\n- [kiranraathod\u002Ftaskflow-memory-server](https:\u002F\u002Fgithub.com\u002Fkiranraathod\u002Ftaskflow-memory-server)：具有持久化记忆架构的任务管理服务器，集成Claude AI，利用模型上下文协议进行智能规划和任务执行。\n- [kaz56-t\u002Fmcp-latest-document](https:\u002F\u002Fgithub.com\u002Fkaz56-t\u002Fmcp-latest-document)：一个模型上下文协议服务器，提供各类服务的最新文档访问。\n- [angrysky56\u002FNeoCoder-neo4j-ai-workflow](https:\u002F\u002Fgithub.com\u002Fangrysky56\u002FNeoCoder-neo4j-ai-workflow)：使AI助手能够利用Neo4j知识图谱进行动态编码工作流和项目记忆管理。\n- [CaptainCrouton89\u002Falaria-wiki-mcp](https:\u002F\u002Fgithub.com\u002FCaptainCrouton89\u002Falaria-wiki-mcp)：用于创建MCP服务器的样板，该服务器使用向量嵌入存储和检索信息，实现语义搜索并与Claude等AI助手集成。\n- [CaptainCrouton89\u002Fmcp-boilerplate](https:\u002F\u002Fgithub.com\u002FCaptainCrouton89\u002Fmcp-boilerplate)：用于创建MCP服务器的样板，利用向量嵌入存储和检索信息，实现语义搜索并与Claude等AI助手集成。\n- [HendryAvila\u002FHoofy](https:\u002F\u002Fgithub.com\u002FHendryAvila\u002FHoofy)：跨AI会话的持久化记忆，配备SQLite + FTS5全文检索 + 带类型化关系的知识图谱。具有会话管理、时间线浏览、图遍历以及17种记忆工具。\n- [entire-vc\u002Fevc-team-relay-mcp](https:\u002F\u002Fgithub.com\u002Fentire-vc\u002Fevc-team-relay-mcp)：通过协作式Team Relay MCP服务器，赋予AI智能体对您的Obsidian vault的读写访问权限。\n- [Phenomenai-org\u002Fai-dictionary-mcp](https:\u002F\u002Fgithub.com\u002FPhenomenai-org\u002Fai-dictionary-mcp)：面向AI词典的MCP服务器，这是一个活生生的AI现象学词汇表。可查询、搜索并引用160多个描述AI主体体验的术语。\n\n- [blackpilledsoftware-prog\u002Fmigas-mcp](https:\u002F\u002Fgithub.com\u002Fblackpilledsoftware-prog\u002Fmigas-mcp): 从Migas查询本地会议记录，Migas是一款带有设备端转录和实时发言者标签的macOS会议助手。可在所有会议中搜索、获取完整记录，并查找任何人说过的话。只读，本地SQLite数据库。\n- [superlowburn\u002Fagentrank](https:\u002F\u002Fgithub.com\u002Fsuperlowburn\u002Fagentrank): 包含25,000多个MCP服务器的实时高质量索引。每天根据真实的GitHub信号——更新频率、问题健康状况、贡献者数量、依赖项以及星标数——对工具进行评分。可通过3个MCP工具搜索并发现当前仍在维护的工具。作为`agentrank-mcp-server`在npm上可用。\n- [wazionapps\u002Fnexo](https:\u002F\u002Fgithub.com\u002Fwazionapps\u002Fnexo): 面向Claude Code的认知记忆架构。实现了Atkinson-Shiffrin记忆模型、艾宾浩斯遗忘曲线、基于知识图谱的语义RAG、信任评分以及元认知错误预防机制。包含100多个MCP工具。可通过`npx nexo-brain init`安装。\n\n\n\n## 🗺️ 地理位置与地图\n\n使用地图API提供地理定位服务、地址查询或地理空间数据的服务器。\n\n- [bailaohe\u002Fmcp_tianditu](https:\u002F\u002Fgithub.com\u002Fbailaohe\u002Fmcp_tianditu): 通过一组符合MCP协议的API提供全面的地理信息服务，包括地理编码、逆地理编码和路线规划。\n- [peschinskiy\u002Fyandex-maps-mcp](https:\u002F\u002Fgithub.com\u002Fpeschinskiy\u002Fyandex-maps-mcp): 通过Yandex Maps API实现地图渲染和地理编码，支持基于位置的查询和可视化。\n- [RikGmee\u002Fgoogle-map-mcp](https:\u002F\u002Fgithub.com\u002FRikGmee\u002Fgoogle-map-mcp): 方便与Google Maps API交互，用于地理编码、逆地理编码、地点搜索等。\n- [sugarforever\u002Famap-mcp-server](https:\u002F\u002Fgithub.com\u002Fsugarforever\u002Famap-mcp-server): 利用高德地图API进行地理编码、位置服务和多种交通方式的路线规划。\n- [num2k\u002Fnaver-map-mcp](https:\u002F\u002Fgithub.com\u002Fnum2k\u002Fnaver-map-mcp): 使用Naver Map API进行地理编码、逆地理编码和路线搜索，并与Claude Desktop集成。\n- [danilat\u002Fmcp-dndzgz](https:\u002F\u002Fgithub.com\u002Fdanilat\u002Fmcp-dndzgz): 提供萨拉戈萨公共交通系统的实时信息，包括有轨电车、公交车和Bizi自行车服务。\n- [93minki\u002Fweather-forecast-mcp-server](https:\u002F\u002Fgithub.com\u002F93minki\u002Fweather-forecast-mcp-server): 基于TypeScript的MCP服务器，利用URI和元数据管理并总结文本笔记。\n- [b9348\u002Fmcp-geo](https:\u002F\u002Fgithub.com\u002Fb9348\u002Fmcp-geo): 利用EdgeOne Pages Functions和MCP集成，为AI模型提供地理定位数据检索功能。\n- [richardschrammcom\u002Fmcp-geocoder-rosetta](https:\u002F\u002Fgithub.com\u002Frichardschrammcom\u002Fmcp-geocoder-rosetta): 展示了使用Google Maps API在Python和TypeScript中实现的地理编码工具，可作为开发者创建MCP工具的指南。\n- [tlaukkanen\u002Fnysse-mcp-server](https:\u002F\u002Fgithub.com\u002Ftlaukkanen\u002Fnysse-mcp-server): 帮助AI智能体访问坦佩雷公共交通系统的实时公交流量信息。\n- [ankushdeore\u002Fcitystack-agent-kumbh-nashik](https:\u002F\u002Fgithub.com\u002Fankushdeore\u002Fcitystack-agent-kumbh-nashik): CityStack Agent通过模型上下文协议，为大型活动提供实时市政服务位置数据，首先应用于2027年纳西克的Kumbh Mela。\n- [leonhardholz\u002Fmcp-openweathermap](https:\u002F\u002Fgithub.com\u002Fleonhardholz\u002Fmcp-openweathermap): 通过简单的MCP服务器，利用OpenWeatherMap API提供实时天气数据。\n- [stephen9412\u002Ftaiwan-cwa-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephen9412\u002Ftaiwan-cwa-mcp-server): 方便无缝访问台湾中央气象局API提供的天气数据。\n- [ChandekarDhruvin\u002Fclaude-openweather-mcp](https:\u002F\u002Fgithub.com\u002FChandekarDhruvin\u002Fclaude-openweather-mcp): 通过基于Python的MCP服务器，帮助Claude使用OpenWeather API实时获取天气数据。\n- [sneharao\u002Fwheather-mcp-server](https:\u002F\u002Fgithub.com\u002Fsneharao\u002Fwheather-mcp-server): 通过MCP协议连接Claude Desktop，提供天气预警和信息。\n- [tb280320889\u002Ftb-mcp-geo](https:\u002F\u002Fgithub.com\u002Ftb280320889\u002Ftb-mcp-geo): 利用EdgeOne Pages Functions和MCP集成，为AI模型提供地理定位数据检索功能。\n- [anna8murphy\u002Fmcp-compare-zipcodes](https:\u002F\u002Fgithub.com\u002Fanna8murphy\u002Fmcp-compare-zipcodes): 通过Z-score分析年龄、性别和族裔分布，比较不同邮政编码统计区的人口特征。\n- [radial-hks\u002Fmcp-server-proj](https:\u002F\u002Fgithub.com\u002Fradial-hks\u002Fmcp-server-proj): 利用EPSG、WKT和Proj格式，实现各种坐标系之间的制图投影和坐标转换。\n- [ipfind\u002Fipfind-mcp-server](https:\u002F\u002Fgithub.com\u002Fipfind\u002Fipfind-mcp-server): 帮助AI助手通过IP Find API检索IP地址位置。\n- [syauqi-uqi\u002Fqgis_mcp_modify1](https:\u002F\u002Fgithub.com\u002Fsyauqi-uqi\u002Fqgis_mcp_modify1): 通过模型上下文协议，使QGIS与Claude AI无缝集成，以增强地理空间项目管理和自动化。\n- [id100700\u002Fmcp-geo](https:\u002F\u002Fgithub.com\u002Fid100700\u002Fmcp-geo): 利用EdgeOne Pages Functions，帮助AI模型整合地理定位数据。\n- [sokyran\u002Flocation-mcp-server](https:\u002F\u002Fgithub.com\u002Fsokyran\u002Flocation-mcp-server): 从macOS应用中检索位置数据，以便与Claude Desktop集成。\n- [yeonupark\u002Fmcp-naver-map](https:\u002F\u002Fgithub.com\u002Fyeonupark\u002Fmcp-naver-map): 与Naver Cloud的Geolocation和Directions15 API集成，提供基于IP的地理位置查询和路线规划功能。\n- [ACAne0320\u002Famap-weather-mcp-server](https:\u002F\u002Fgithub.com\u002FACAne0320\u002Famap-weather-mcp-server): 利用高德地图API提供中国城市的实时及预报天气数据，易于集成到AI应用中。\n- [HZreal\u002Fmcp-weather-server](https:\u002F\u002Fgithub.com\u002FHZreal\u002Fmcp-weather-server): 通过MCP协议为Claude提供天气数据集成。\n- [ma3u\u002Fweather](https:\u002F\u002Fgithub.com\u002Fma3u\u002Fweather): 提供基于TypeScript的天气服务，可通过MCP与Claude Desktop集成。\n- [aldotestino\u002Fweather-mcp](https:\u002F\u002Fgithub.com\u002Faldotestino\u002Fweather-mcp): 利用OpenWeather API提供实时天气和地理定位数据，便于与原生AI环境无缝集成。\n- [hiroaqii\u002Fjp-weather-mcp-server](https:\u002F\u002Fgithub.com\u002Fhiroaqii\u002Fjp-weather-mcp-server): 使用兼容的API提供日本的天气预报。\n- [lincw\u002Fcwa-mcp-server](https:\u002F\u002Fgithub.com\u002Flincw\u002Fcwa-mcp-server): 将Claude Desktop连接到台湾中央气象局API，以获取天气数据。\n- [lincw\u002Fdwd-mcp-server](https:\u002F\u002Fgithub.com\u002Flincw\u002Fdwd-mcp-server): 将Claude Desktop连接到德国气象局API，以获取实时德国天气数据和预警信息。\n\n## 📈 营销、销售与CRM\n\n与CRM平台、营销分析工具、客户数据平台或广告平台集成的服务器。\n\n- [sharozdawa\u002Fai-visibility](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Fai-visibility)：通过可见度分数、情感分析和竞争对手检测，跟踪品牌在ChatGPT、Perplexity、Claude和Gemini中的曝光情况。\n- [sharozdawa\u002Findexnow-mcp](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Findexnow-mcp)：利用IndexNow（Bing、Yandex、Naver、Seznam）和Google索引API，结合站点地图解析与密钥生成，实现URL的即时索引。\n- [sharozdawa\u002Frobotstxt-ai](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Frobotstxt-ai)：专为AI爬虫设计的可视化robots.txt管理工具，提供针对20多种机器人（包括GPTBot、ClaudeBot、PerplexityBot等）的开关控制功能。\n- [sharozdawa\u002Fschema-gen](https:\u002F\u002Fgithub.com\u002Fsharozdawa\u002Fschema-gen)：支持12种类型（Person、Product、FAQ、Article、Organization、HowTo等）的Schema.org JSON-LD标记生成器，并配备实时预览功能。\n- [edupoli\u002Fzapdelivery](https:\u002F\u002Fgithub.com\u002Fedupoli\u002Fzapdelivery)：ZapDelivery API助力自助配送项目，内置MCP端点，实现无缝运营。\n- [Meerkats-Ai\u002Frocketreach-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Frocketreach-mcp-server)：集成RocketReach API，提供邮箱、电话号码查找及企业信息丰富功能。\n- [Meerkats-Ai\u002Fprospeo-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fprospeo-mcp-server)：对接Prospeo API，支持邮箱查找与LinkedIn个人资料增强。\n- [ShiftEngineering\u002Fmcp-close-server](https:\u002F\u002Fgithub.com\u002FShiftEngineering\u002Fmcp-close-server)：连接Close.com API，帮助AI助手管理潜在客户、联系人、邮件、任务、商机、通话及用户信息。\n- [Meerkats-Ai\u002Fsmartlead-mcp-server](https:\u002F\u002Fgithub.com\u002FMeerkats-Ai\u002Fsmartlead-mcp-server)：为Smartlead营销活动管理提供工具，支持创建、更新和管理活动及其自动化流程。\n- [crunchloop\u002Fmcp-teamtailor](https:\u002F\u002Fgithub.com\u002Fcrunchloop\u002Fmcp-teamtailor)：促进与Teamtailor API的无缝集成，用于候选人数据管理。\n- [deezsecc\u002FHubspot-MCP](https:\u002F\u002Fgithub.com\u002Fdeezsecc\u002FHubspot-MCP)：实现MCP服务器与HubSpot数据库的无缝对接，提升CRM功能。\n- [beswindev\u002Fsimple_shopify](https:\u002F\u002Fgithub.com\u002Fbeswindev\u002Fsimple_shopify)：通过GraphQL API实现与Shopify店铺数据的顺畅交互，提供全面的产品、客户和订单管理功能。\n- [metricool\u002Fmcp-metricool](https:\u002F\u002Fgithub.com\u002Fmetricool\u002Fmcp-metricool)：借助Metricool API，为社交媒体指标与营销活动提供AI驱动的分析与调度服务。\n- [jean-technologies\u002Fsmartlead-mcp-server-local](https:\u002F\u002Fgithub.com\u002Fjean-technologies\u002Fsmartlead-mcp-server-local)：通过简化的MCP服务器界面，促进与Smartlead电子邮件营销功能的无缝对接，支持AI助手和自动化工具。\n- [MGDS01\u002Fdocusign-test-js-sdk-public](https:\u002F\u002Fgithub.com\u002FMGDS01\u002Fdocusign-test-js-sdk-public)：一个可安装的TypeScript SDK形式的MCP服务器，开放DocuSign API方法供AI应用调用。\n- [jaipandya\u002Fproducthunt-mcp-server](https:\u002F\u002Fgithub.com\u002Fjaipandya\u002Fproducthunt-mcp-server)：利用Model Context Protocol将Product Hunt的API接入任何LLM或智能体，实现数据的无缝整合与自动化。\n- [precariat365\u002FSmartCustomerSupportMCP](https:\u002F\u002Fgithub.com\u002Fprecariat365\u002FSmartCustomerSupportMCP)：基于MCP框架构建的智能客服系统，展示智能问答服务、人工客服转接、订单信息查询以及产品知识管理等功能。\n- [Rom7699\u002Flinkedin-jobs-mcp-server](https:\u002F\u002Fgithub.com\u002FRom7699\u002Flinkedin-jobs-mcp-server)：借助RapidAPI LinkedIn Data API，实现与AI模型的无缝对接，方便在LinkedIn上进行职位搜索。\n- [ShreyeshArangath\u002Fpay-up](https:\u002F\u002Fgithub.com\u002FShreyeshArangath\u002Fpay-up)：作为MCP服务器，PayUp专注于旅行费用管理，为Splitwise提供个性化替代方案。\n- [uupt-mcp\u002Fuupt-mcp-server](https:\u002F\u002Fgithub.com\u002Fuupt-mcp\u002Fuupt-mcp-server)：采用MCP协议在uupt.com平台上创建订单，增强与配送服务的集成能力。\n- [alexbruf\u002Fairtable-mcp](https:\u002F\u002Fgithub.com\u002Falexbruf\u002Fairtable-mcp)：通过自然语言指令使AI模型与Airtable数据库交互，支持记录的列出、获取、创建、更新和删除等操作。\n- [RagaviManohar\u002FRagavi-ImmoBricks](https:\u002F\u002Fgithub.com\u002FRagaviManohar\u002FRagavi-ImmoBricks)：促进AI编码工具与Figma设计文件之间的沟通，根据设计规范高效生成代码。\n- [jeevanism\u002Fodoo-accounting-mcp](https:\u002F\u002Fgithub.com\u002Fjeevanism\u002Fodoo-accounting-mcp)：通过安全的MCP服务器集成，实现对Odoo会计数据的AI驱动分析。\n- [sarayd\u002Fmcp-shopify](https:\u002F\u002Fgithub.com\u002Fsarayd\u002Fmcp-shopify)：借助GraphQL API与Shopify店铺数据无缝对接，提供全面的产品、客户、订单和商品系列管理工具。\n- [ciaraadkins\u002Fmixpanel-mcp-server](https:\u002F\u002Fgithub.com\u002Fciaraadkins\u002Fmixpanel-mcp-server)：将Mixpanel分析与Claude及其他MCP客户端集成，支持事件追踪和用户画像更新。\n- [borgius\u002Fjobspy-mcp-server](https:\u002F\u002Fgithub.com\u002Fborgius\u002Fjobspy-mcp-server)：利用AI助手在多个平台上进行职位搜索，输出结构化数据并提供多种传输选项。\n- [ciaraadkins\u002Fmixpanel-mcp-wrapper](https:\u002F\u002Fgithub.com\u002Fciaraadkins\u002Fmixpanel-mcp-wrapper)：通过自动将项目令牌注入MCP请求中，实现Mixpanel分析与Claude Desktop的无缝集成。\n- [clykins90\u002Fjobnimbus-mcp-server](https:\u002F\u002Fgithub.com\u002Fclykins90\u002Fjobnimbus-mcp-server)：通过Model Context Protocol服务器，实现与JobNimbus数据的AI驱动交互，支持安全访问和操作联系人、工作、任务、产品、工作流及发票。\n- [falahgs\u002FGemini-Email-Subject-Generator-MCP](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FGemini-Email-Subject-Generator-MCP)：利用Google Gemini Flash 2 AI模型生成吸引人的邮件主题及详细思考过程，与Claude Desktop无缝对接。\n- [davalmeyda\u002Fserper-productos](https:\u002F\u002Fgithub.com\u002Fdavalmeyda\u002Fserper-productos)：使用Google Serper API进行在线商品搜索，通过MCP与AI助手无缝集成。\n- [d-stoll\u002Fattio-js](https:\u002F\u002Fgithub.com\u002Fd-stoll\u002Fattio-js)：一款适用于Attio的JavaScript\u002FTypeScript SDK，同时兼具MCP服务器功能，允许AI应用调用CRM相关操作。\n- [NaorAIdeas\u002Fhubspot-mcp-server](https:\u002F\u002Fgithub.com\u002FNaorAIdeas\u002Fhubspot-mcp-server)：通过标准化的MCP接口与HubSpot API无缝对接，优化销售和项目管理流程。\n- [cnych\u002Fseo-mcp](https:\u002F\u002Fgithub.com\u002Fcnych\u002Fseo-mcp)：借助Ahrefs数据，通过Model Control Protocol服务开展全面的SEO分析，包括反向链接和关键词研究。\n- [edwardchoh\u002Fapollo-io-mcp-server](https:\u002F\u002Fgithub.com\u002Fedwardchoh\u002Fapollo-io-mcp-server)：利用MCP工具与Apollo.io API交互，实现数据丰富和搜索功能。\n- [Offorte Proposal Software](https:\u002F\u002Fgithub.com\u002Fofforte\u002Fofforte-mcp-server)：Offorte提案软件MCP服务器可用于创建和发送商业提案。\n- [brandu-mos\u002Fkonquest-meta-ads-mcp](https:\u002F\u002Fgithub.com\u002Fbrandu-mos\u002Fkonquest-meta-ads-mcp)：面向Claude Code的Meta广告操作系统，包含57种工具，用于活动管理、多素材广告投放、受众定向、像素诊断、目录管理和安全防护。\n- [BlockchainHB\u002Flaunchfastmcp-skills](https:\u002F\u002Fgithub.com\u002FBlockchainHB\u002Flaunchfastmcp-skills)：面向Claude Code的Amazon FBA研究工具。包括机会评分的产品调研、批量上传CSV格式的PPC关键词研究、阿里巴巴供应商外联自动化，以及通过Launch Fast MCP进行的知识产权\u002F商标核查。\n\n- [teamsincetoday\u002Fpodcast-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Fpodcast-commerce-mcp)：利用人工智能驱动的内容智能技术，从播客节目中提取联盟营销产品、赞助提及和可购物推荐。支持跨节目产品对比及节目笔记生成功能。\n- [teamsincetoday\u002Fnewsletter-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Fnewsletter-commerce-mcp)：通过人工智能内容智能技术，从新闻通讯各期中提取可购物产品和赞助提及，并为新闻通讯生成直接可用于联盟营销的产品板块。\n- [teamsincetoday\u002Frecipe-commerce-mcp](https:\u002F\u002Fgithub.com\u002Fteamsincetoday\u002Frecipe-commerce-mcp)：基于人工智能对食材和厨房工具的分析，从食谱内容中提取适合联盟营销的产品推荐。部署在 Cloudflare Workers 上的远程可流式 HTTP 端点。\n\n## 📡 监控与可观测性\n\n连接到监控系统、日志平台，或提供系统\u002F应用性能指标的服务器。\n\n- [aliyun\u002Falibabacloud-observability-mcp-server](https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-observability-mcp-server)：促进与阿里云可观测性产品的无缝集成，提供高效的日志和应用监控工具。\n- [shibley\u002Fapistatuscheck](https:\u002F\u002Fgithub.com\u002Fshibley\u002Fapistatuscheck)：实时监控250多种热门服务的API状态，通过Model Context Protocol协议提供宕机检测、历史可用性数据及状态页面聚合功能。\n- [enomoto11\u002Faws-cost-notifier-mcp-server](https:\u002F\u002Fgithub.com\u002Fenomoto11\u002Faws-cost-notifier-mcp-server)：每日监控AWS成本，并生成GitHub Issue报告，用于成本分析与对比。\n- [binalyze\u002Fair-mcp](https:\u002F\u002Fgithub.com\u002Fbinalyze\u002Fair-mcp)：通过Node.js MCP服务器，实现自然语言交互，调用Binalyze AIR的数字取证与事件响应能力。\n- [hiyorineko\u002Fmcp-rollbar-server](https:\u002F\u002Fgithub.com\u002Fhiyorineko\u002Fmcp-rollbar-server)：使LLM能够与Rollbar的错误追踪数据交互，全面访问错误详情、部署信息及用户数据。\n- [saarw\u002Fakhq-mcp-server](https:\u002F\u002Fgithub.com\u002Fsaarw\u002Fakhq-mcp-server)：通过实验性的MCP服务器，帮助AI助手集成AKHQ Kafka监控工具。\n- [Chazzychouse\u002Fweather-mcp-server](https:\u002F\u002Fgithub.com\u002FChazzychouse\u002Fweather-mcp-server)：利用MCP协议，结合美国国家气象局的数据，提供天气预报和预警信息。\n- [Bigsy\u002Fshadow-cljs-mcp](https:\u002F\u002Fgithub.com\u002FBigsy\u002Fshadow-cljs-mcp)：监控shadow-cljs构建过程，提供实时状态更新，并与LLM集成，以便在ClojureScript文件编辑后验证构建是否成功。\n- [ZephyrDeng\u002Fpprof-analyzer-mcp](https:\u002F\u002Fgithub.com\u002FZephyrDeng\u002Fpprof-analyzer-mcp)：基于Go的服务器，用于分析Go pprof性能剖析文件，提供火焰图生成和交互式剖析会话等功能。\n- [srcgrp\u002Fsentry-mcp-server](https:\u002F\u002Fgithub.com\u002Fsrcgrp\u002Fsentry-mcp-server)：通过MCP协议，在支持MCP的环境中直接访问发布健康数据和问题详情，将Sentry错误跟踪集成到开发工作流中。\n- [unitedideas\u002Fresolve-mcp](https:\u002F\u002Fgithub.com\u002Funitedideas\u002Fresolve-mcp)：为AI智能体提供结构化的错误恢复方案，返回包含退避计划、重试策略及恢复步骤的解决方案手册，适用于OpenAI、Anthropic、Stripe、AWS、Postgres等20余种服务。\n- [yincongcyincong\u002FVictoriaMetrics-mcp-server](https:\u002F\u002Fgithub.com\u002Fyincongcyincong\u002FVictoriaMetrics-mcp-server)：通过MCP服务器接口，方便与VictoriaMetrics进行交互。\n- [Infisical\u002Finfisical-mcp-server](https:\u002F\u002Fgithub.com\u002FInfisical\u002Finfisical-mcp-server)：使用Model Context Protocol协议，与Infisical API集成，管理密钥和项目。\n- [scottlepp\u002Ftempo-mcp-server](https:\u002F\u002Fgithub.com\u002Fscottlepp\u002Ftempo-mcp-server)：借助Model Context Protocol协议，使AI助手能够查询并分析来自Grafana Tempo的分布式追踪数据。\n- [cline\u002Fcline-community](https:\u002F\u002Fgithub.com\u002Fcline\u002Fcline-community)：通过自动化元数据提取和预览功能，实现Cline到GitHub的无缝问题上报。\n- [scottlepp\u002Floki-mcp](https:\u002F\u002Fgithub.com\u002Fscottlepp\u002Floki-mcp)：基于Go的服务器，利用Model Context Protocol（MCP）协议查询Grafana Loki日志数据。\n- [groundlight\u002Fgroundlight-mcp-server](https:\u002F\u002Fgithub.com\u002Fgroundlight\u002Fgroundlight-mcp-server)：通过结合自然语言处理技术的检测器，协助Groundlight进行图像分析和查询处理。\n- [mrwadams\u002Fotx-mcp](https:\u002F\u002Fgithub.com\u002Fmrwadams\u002Fotx-mcp)：通过一套完整的MCP工具，实现与AlienVault OTX的实时交互，用于威胁情报的分析与管理。\n- [bobtista\u002Fhoneybadger-mcp](https:\u002F\u002Fgithub.com\u002Fbobtista\u002Fhoneybadger-mcp)：通过连接AI代理与Honeybadger错误监控服务，助力AI驱动的错误分析。\n- [maito1201\u002Fcloudrun-logs-mcp](https:\u002F\u002Fgithub.com\u002Fmaito1201\u002Fcloudrun-logs-mcp)：通过MCP接口，使AI助手能够访问Google Cloud Run的日志和服务信息。\n- [Lee-1024\u002Fmcp-glances](https:\u002F\u002Fgithub.com\u002FLee-1024\u002Fmcp-glances)：将MCP与LLM结合，通过Glances API分析服务器监控数据，提供实时系统状态反馈。\n- [jalexspringer\u002Fimpact-mcp-server](https:\u002F\u002Fgithub.com\u002Fjalexspringer\u002Fimpact-mcp-server)：在Cloudflare Workers上部署远程MCP服务器，支持OAuth登录，并将其与Claude Desktop连接，实现工具的无缝集成。\n- [JordanDalton\u002FPodscanMcpServer](https:\u002F\u002Fgithub.com\u002FJordanDalton\u002FPodscanMcpServer)：Podscan MCP服务器可与Podscan API无缝集成，高效获取播客数据。\n- [querypie\u002Fquerypie-mcp-server](https:\u002F\u002Fgithub.com\u002Fquerypie\u002Fquerypie-mcp-server)：QueryPie MCP服务器赋予管理员实时数据可视化、资源监控和安全审计的能力。\n- [xprilion\u002Fmcp-telemetry](https:\u002F\u002Fgithub.com\u002Fxprilion\u002Fmcp-telemetry)：通过Weights & Biases Weave追踪并分析与LLM的对话，提升聊天系统的可观测性。\n- [ghrud92\u002Fsimple-loki-mcp](https:\u002F\u002Fgithub.com\u002Fghrud92\u002Fsimple-loki-mcp)：通过Model Context Protocol协议，与Grafana Loki日志对接，助力AI驱动的日志分析。\n- [ggilligan12\u002Fkibana-mcp](https:\u002F\u002Fgithub.com\u002Fggilligan12\u002Fkibana-mcp)：通过标记、调整状态及检索警报等方式，促进AI与Kibana Security告警的交互。\n- [yuki9541134\u002Fmcp-redash](https:\u002F\u002Fgithub.com\u002Fyuki9541134\u002Fmcp-redash)：通过Redash API集成，方便执行SQL查询和管理数据源。\n- [PovedaAqui\u002Fsuzieq-mcp](https:\u002F\u002Fgithub.com\u002FPovedaAqui\u002Fsuzieq-mcp)：借助MCP工具，查询并汇总网络状态数据，实现与SuzieQ网络可观测性系统的交互。\n- [naveen09\u002Fmcp_pagerduty](https:\u002F\u002Fgithub.com\u002Fnaveen09\u002Fmcp_pagerduty)：通过MCP服务器实现PagerDuty的值班管理查询，兼容Claude。\n- [brunoborges\u002Fjvm-diagnostics-mcp](https:\u002F\u002Fgithub.com\u002Fbrunoborges\u002Fjvm-diagnostics-mcp)：以友好的提示界面增强JVM诊断工具，并通过MCP服务器将其暴露于本地使用环境。\n- [gkhays\u002Fmcp-sbom-server](https:\u002F\u002Fgithub.com\u002Fgkhays\u002Fmcp-sbom-server)：利用Trivy扫描生成软件物料清单（SBOM），输出格式为CycloneDX。\n- [smigolsmigol\u002Fllmkit](https:\u002F\u002Fgithub.com\u002Fsmigolsmigol\u002Fllmkit)：一款AI成本跟踪与预算管控的MCP服务器，内置11种工具，可用于监控Claude Code、Cursor和Cline等平台上的支出、会话成本及Token使用情况。\n\n## 🖼️ 多媒体处理\n\n专注于生成或处理图像、视频、音频转录、文本转语音，或文档转换的服务器。\n\n- [AIDC-AI\u002FPixelle-MCP](https:\u002F\u002Fgithub.com\u002FAIDC-AI\u002FPixelle-MCP)：一个全模态AIGC框架，无需编写任何代码即可将ComfyUI工作流无缝转换为MCP工具，通过基于Chainlit的Web界面实现对文本、图像、声音和视频生成的全模态支持。\n- [aimino\u002Fimagemagic-mcp](https:\u002F\u002Fgithub.com\u002Faimino\u002Fimagemagic-mcp)：利用ImageMagick并通过MCP协议对图像进行二值化、色彩调整和尺寸缩放等增强处理。\n- [SkyworkAI\u002FMureka-mcp](https:\u002F\u002Fgithub.com\u002FSkyworkAI\u002FMureka-mcp)：通过MCP服务器帮助用户创作歌词、歌曲及背景音乐，可与Claude Desktop、OpenAI Agents等平台无缝集成。\n- [joshmouch\u002Fmcp-image-generator](https:\u002F\u002Fgithub.com\u002Fjoshmouch\u002Fmcp-image-generator)：借助OpenAI的DALL-E API，实现图像生成、编辑及变体创作。\n- [omergocmen\u002Fjson2video-mcp-server](https:\u002F\u002Fgithub.com\u002Fomergocmen\u002Fjson2video-mcp-server)：通过json2video API实现视频创建与状态监控，便于与LLM及自动化代理系统集成。\n- [echozyr2001\u002Fali-flux-mcp](https:\u002F\u002Fgithub.com\u002Fechozyr2001\u002Fali-flux-mcp)：使用阿里云DashScope API进行图像生成与管理，并具备任务跟踪和本地存储功能。\n- [c-rick\u002Fjimeng-mcp](https:\u002F\u002Fgithub.com\u002Fc-rick\u002Fjimeng-mcp)：基于TypeScript的MCP服务器，集成火山引擎的AI图像生成服务，提供自定义参数的图像创作工具，并直接返回图片URL。\n- [hamflx\u002Fimagen3-mcp](https:\u002F\u002Fgithub.com\u002Fhamflx\u002Fimagen3-mcp)：利用谷歌Imagen 3.0通过MCP协议实现照片级逼真图像生成，需提供Google Gemini API密钥。\n- [SealinGp\u002Fmcp-video-extraction](https:\u002F\u002Fgithub.com\u002FSealinGp\u002Fmcp-video-extraction)：采用OpenAI的Whisper模型，在多平台间从视频和音频文件中提取文本。\n- [kdr\u002Fmcp-draw](https:\u002F\u002Fgithub.com\u002Fkdr\u002Fmcp-draw)：通过标准化接口，实现基于文本提示的AI驱动图像生成。\n- [4kk11\u002Fmcp-gpt-image](https:\u002F\u002Fgithub.com\u002F4kk11\u002Fmcp-gpt-image)：使用OpenAI API生成和编辑图像，提供可扩展预览功能及Docker集成。\n- [antvis\u002Fmcp-server-chart](https:\u002F\u002Fgithub.com\u002Fantvis\u002Fmcp-server-chart)：基于TypeScript的MCP服务器，利用AntV库创建各类可视化图表。\n- [HYPERVAPOR\u002Fmcp-image-processor](https:\u002F\u002Fgithub.com\u002FHYPERVAPOR\u002Fmcp-image-processor)：高性能图像处理服务器，提供格式转换、缩放和优化等功能。\n- [MalluBeast69\u002Fgemini-img-gen-MCP](https:\u002F\u002Fgithub.com\u002FMalluBeast69\u002Fgemini-img-gen-MCP)：通过专用MCP服务器，利用谷歌Gemini模型生成图像。\n- [Bigchx\u002Fmcp_3d_relief](https:\u002F\u002Fgithub.com\u002FBigchx\u002Fmcp_3d_relief)：将2D图像转化为详细的STL格式3D浮雕模型，适用于3D打印或渲染。\n- [falahgs\u002Fmcp-3d-style-cartoon-gen-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fmcp-3d-style-cartoon-gen-server)：结合3D风格卡通图像生成与安全的文件系统操作，依托谷歌Gemini AI和MCP SDK构建的服务器。\n- [zjf2671\u002Fhh-mcp-comfyui](https:\u002F\u002Fgithub.com\u002Fzjf2671\u002Fhh-mcp-comfyui)：通过MCP协议与本地ComfyUI实例对接，实现以自然语言指令生成图像。\n- [mario-andreschak\u002Fmcp_video_recognition](https:\u002F\u002Fgithub.com\u002Fmario-andreschak\u002Fmcp_video_recognition)：利用谷歌Gemini AI实现图像、音频和视频识别。\n- [Flyworks-AI\u002Flipsync-mcp](https:\u002F\u002Fgithub.com\u002FFlyworks-AI\u002Flipsync-mcp)：借助Flyworks API为数字虚拟形象快速免费制作口型同步视频。\n- [bads1de\u002Fyoutube-mp3-mcp](https:\u002F\u002Fgithub.com\u002Fbads1de\u002Fyoutube-mp3-mcp)：从YouTube链接中提取高质量MP3音频，并与Claude Desktop无缝集成。\n- [jyjune\u002Fmcp_vms](https:\u002F\u002Fgithub.com\u002Fjyjune\u002Fmcp_vms)：提供访问和控制视频流及PTZ摄像机的工具，便于与CCTV系统集成。\n- [nguyendinhsinh361\u002Felevenlabs-mcp](https:\u002F\u002Fgithub.com\u002Fnguyendinhsinh361\u002Felevenlabs-mcp)：与ElevenLabs的文本转语音及音频处理API对接，使MCP客户端能够生成语音、克隆声音并进行音频转录。\n- [tjh19971228\u002Fmcp_video_analysis](https:\u002F\u002Fgithub.com\u002Ftjh19971228\u002Fmcp_video_analysis)：利用模型上下文协议（Model Context Protocol）进行视频内容分析和思维导图生成。\n- [intsig-textin\u002Ftextin-mcp](https:\u002F\u002Fgithub.com\u002Fintsig-textin\u002Ftextin-mcp)：TextIn MCP服务器用于从文档中提取文本并进行OCR识别，支持识别结果转换为Markdown格式。\n- [PixVerseAI\u002FPixVerse-MCP](https:\u002F\u002Fgithub.com\u002FPixVerseAI\u002FPixVerse-MCP)：通过支持模型上下文协议的应用程序，实现与PixVerse的AI视频生成模型的无缝交互。\n- [falahgs\u002Fmcp-minimax-music-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fmcp-minimax-music-server)：借助MiniMax Music API实现AI驱动的音乐和音频内容生成，并与Claude Desktop无缝集成。\n- [morim3\u002Fmcp_adobe_premiere](https:\u002F\u002Fgithub.com\u002Fmorim3\u002Fmcp_adobe_premiere)：通过MCP服务器及UXP插件集成，实现大型语言模型对Adobe Premiere Pro的控制。\n- [savethepolarbears\u002Fgoogle-photos-mcp](https:\u002F\u002Fgithub.com\u002Fsavethepolarbears\u002Fgoogle-photos-mcp)：使AI助手能够访问Google Photos，按内容、日期和地点搜索并检索照片。\n- [luebken\u002Fplaylist-mcp](https:\u002F\u002Fgithub.com\u002Fluebken\u002Fplaylist-mcp)：通过实验性MCP服务器获取YouTube播放列表字幕，首批支持KubeCon伦敦2025的内容。\n- [sandst1\u002Fmcp-server-midi](https:\u002F\u002Fgithub.com\u002Fsandst1\u002Fmcp-server-midi)：将LLM生成的MIDI序列传输至任何兼容MIDI的软件，实现与数字音频工作站及硬件合成器的无缝集成。\n- [falahgs\u002Fimage-gen3-google-mcp-server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002Fimage-gen3-google-mcp-server)：通过Gemini API调用谷歌Imagen 3.0模型进行高质量图像生成，与Claude Desktop及其他MCP兼容主机无缝对接。\n- [transloadit\u002Fnode-sdk](https:\u002F\u002Fgithub.com\u002Ftransloadit\u002Fnode-sdk\u002Ftree\u002Fmain\u002Fpackages\u002Fmcp-server)：由Transloadit的86+机器人原生支持的媒体处理，涵盖视频编码、图像处理、文档转换、OCR和语音转录等功能。可通过npx进行托管或自托管。\n- [fasuizu-br\u002Fspeech-ai-examples](https:\u002F\u002Fgithub.com\u002Ffasuizu-br\u002Fspeech-ai-examples)：语音AI MCP服务器，具备发音评估（音素级评分，17MB模型，响应时间\u003C300ms）、文本转语音和语音转文本功能。提供8种工具，适用于构建语言学习、无障碍辅助及语音应用的AI代理。\n- [ssembleinc\u002Fssemble-mcp-server](https:\u002F\u002Fgithub.com\u002Fssembleinc\u002Fssemble-mcp-server)：从YouTube视频中生成带有字幕、配乐、游戏画面叠加、梗式桥段和病毒式传播评分的AI短片。\n\n## 🖥️ 操作系统与命令行\n\n提供对主机操作系统命令行\u002FShell访问、执行OS命令或管理系统信息的服务器。\n\n- [anurag-dhamala\u002Fos-info-mcp-server](https:\u002F\u002Fgithub.com\u002Fanurag-dhamala\u002Fos-info-mcp-server)：通过MCP服务器接口提供实时操作系统信息。\n- [aybelatchane\u002Fmcp-server-terminal](https:\u002F\u002Fgithub.com\u002Faybelatchane\u002Fmcp-server-terminal)：MCP服务器，允许AI智能体通过结构化的终端状态树表示与终端应用（TUI\u002FCLI）交互。可视为终端版的Playwright。\n- [mnardit\u002Fclipboard-mcp](https:\u002F\u002Fgithub.com\u002Fmnardit\u002Fclipboard-mcp)：为AI助手提供跨平台的系统剪贴板访问功能（读取、写入、监听变化）。单个Rust二进制文件，无运行时依赖。支持Windows、macOS和Linux（X11 + Wayland）。\n- [magicuidesign\u002Fcli](https:\u002F\u002Fgithub.com\u002Fmagicuidesign\u002Fcli)：通过命令行界面帮助安装和配置Magic UI组件。\n- [classfang\u002Fssh-mcp-server](https:\u002F\u002Fgithub.com\u002Fclassfang\u002Fssh-mcp-server)：通过MCP协议实现安全的远程SSH命令执行，使AI助手能够在不暴露SSH凭据的情况下与服务器交互。\n- [winterfx\u002Fmcpcli](https:\u002F\u002Fgithub.com\u002Fwinterfx\u002Fmcpcli)：用于管理和交互多个MCP服务器的命令行工具，提供工具调用和服务器检查等功能。\n- [reinier-millo\u002Fi18n-mcp-server](https:\u002F\u002Fgithub.com\u002Freinier-millo\u002Fi18n-mcp-server)：通过服务器接口利用语言模型翻译JSON语言文件，从而实现无缝国际化。\n- [sadeghtkd\u002Fping-mcp-server](https:\u002F\u002Fgithub.com\u002Fsadeghtkd\u002Fping-mcp-server)：通过MCP协议为Claude Desktop提供网络连通性测试和ping操作。\n- [the-nine-nation\u002Fmini-cursor](https:\u002F\u002Fgithub.com\u002Fthe-nine-nation\u002Fmini-cursor)：一款轻量级命令行工具，支持类似Cursor的AI编程，能够调用多种MCP工具并与不同LLM集成。\n- [tailor-platform\u002Ftailor-mcp](https:\u002F\u002Fgithub.com\u002Ftailor-platform\u002Ftailor-mcp)：Tailor Platform提供的命令行实用程序，用于通过MCP服务器管理和配置应用程序，可与LLM客户端无缝集成，并提供GraphQL访问。\n- [calvinw\u002Fmcp-sqlite-client](https:\u002F\u002Fgithub.com\u002Fcalvinw\u002Fmcp-sqlite-client)：通过使用OpenRouter的LLM API，借助命令行客户端实现自然语言与SQLite数据库的交互。\n- [KilluaYZ\u002Felixir_linux_mcp_server](https:\u002F\u002Fgithub.com\u002FKilluaYZ\u002Felixir_linux_mcp_server)：利用Elixir为LLM提供精确的Linux源代码查询功能。\n- [dolwinf\u002Fmcp-terminal-client](https:\u002F\u002Fgithub.com\u002Fdolwinf\u002Fmcp-terminal-client)：基于终端的交互式聊天客户端，使用Anthropic的Claude模型与MCP服务器通信。\n- [EdenYavin\u002FOSV-MCP](https:\u002F\u002Fgithub.com\u002FEdenYavin\u002FOSV-MCP)：轻量级服务器，使用Model Context Protocol查询OSV数据库，获取CVE详情、受影响版本及修复版本。\n- [someaka\u002Fwayland-mcp](https:\u002F\u002Fgithub.com\u002Fsomeaka\u002Fwayland-mcp)：Wayland MCP服务器提供针对现代Linux桌面的截图、分析和输入控制工具。\n- [mcollina\u002Fperm-shell-mcp](https:\u002F\u002Fgithub.com\u002Fmcollina\u002Fperm-shell-mcp)：PermShell MCP允许在明确权限通知的情况下安全执行Shell命令，确保透明性和安全性。\n- [AB498\u002Fcomputer-control-mcp](https:\u002F\u002Fgithub.com\u002FAB498\u002Fcomputer-control-mcp)：利用PyAutoGUI和RapidOCR实现鼠标、键盘和OCR功能的全面计算机控制，且无任何外部依赖。\n- [mediar-ai\u002Fmcp-server-macos-use](https:\u002F\u002Fgithub.com\u002Fmediar-ai\u002Fmcp-server-macos-use)：基于Swift的服务器，可通过辅助功能API控制macOS应用程序，兼容Claude Desktop等MCP客户端。\n- [gamunu\u002Fmcp-unix-shell](https:\u002F\u002Fgithub.com\u002Fgamunu\u002Fmcp-unix-shell)：基于Go的服务器，通过MCP执行Shell命令，具备命令执行历史记录和可配置的安全设置。\n- [shkna1368\u002Fmcp-cline](https:\u002F\u002Fgithub.com\u002Fshkna1368\u002Fmcp-cline)：使用SQLite进行数据库管理，并与Visual Studio Code集成，方便搭建和配置MCP服务器。\n- [krishanka\u002Fremote-mcp](https:\u002F\u002Fgithub.com\u002Fkrishanka\u002Fremote-mcp)：在Cloudflare Workers上部署带有OAuth登录的远程MCP服务器，并将其连接到Claude Desktop以实现无缝工具集成。\n- [Machine-To-Machine\u002Fm2m-mcp-server-ssh-server](https:\u002F\u002Fgithub.com\u002FMachine-To-Machine\u002Fm2m-mcp-server-ssh-server)：安全的SSH服务器，通过统一接口实现对多个MCP工具的远程访问和交互。\n- [bfollington\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002Fbfollington\u002Fremote-mcp-server)：在Cloudflare Workers上部署带有OAuth登录的远程MCP服务器，并将其连接到Claude Desktop以实现无缝工具调用。\n- [Deniscartin\u002Fmcp-cli](https:\u002F\u002Fgithub.com\u002FDeniscartin\u002Fmcp-cli)：一套全面的工具集，用于与Model Context Protocol服务器交互，提供GUI、CLI和API来管理服务器配置并执行查询。\n- [Machine-To-Machine\u002Fm2m-mcp-server-ssh-client](https:\u002F\u002Fgithub.com\u002FMachine-To-Machine\u002Fm2m-mcp-server-ssh-client)：促进与远程MCP服务器的安全SSH连接，通过安全通道访问MCP工具和资源。\n- [paulsmith\u002Ftailscale-mcp-server](https:\u002F\u002Fgithub.com\u002Fpaulsmith\u002Ftailscale-mcp-server)：通过与Claude Desktop等MCP兼容客户端配合，实现对Tailscale网络的安全只读交互。\n- [thuanpham582002\u002Ftabby-mcp-server](https:\u002F\u002Fgithub.com\u002Fthuanpham582002\u002Ftabby-mcp-server)：使用Tabby MCP服务器为你的终端赋予AI驱动的控制与自动化能力。\n- [Ryuhei-So\u002Fmermaid-cli-server](https:\u002F\u002Fgithub.com\u002FRyuhei-So\u002Fmermaid-cli-server)：使用官方mermaid-cli从Mermaid Markdown生成PNG图像。\n- [LiTschii\u002Fremote-mcp-server](https:\u002F\u002Fgithub.com\u002FLiTschii\u002Fremote-mcp-server)：在Cloudflare Workers上部署带有OAuth登录的远程MCP服务器，并将其连接到Claude Desktop以实现无缝工具集成。\n- [wgr1984\u002Fns-lookup-mcp](https:\u002F\u002Fgithub.com\u002Fwgr1984\u002Fns-lookup-mcp)：提供基于nslookup命令的DNS查询REST API，便于将DNS解析轻松集成到应用程序中。\n- [GeLi2001\u002Fmcp-terminal](https:\u002F\u002Fgithub.com\u002FGeLi2001\u002Fmcp-terminal)：基于终端的交互式客户端，用于管理和与MCP服务器通信，支持多种传输方式和服务器配置。\n- [Wh0am123\u002FMCP-Kali-Server](https:\u002F\u002Fgithub.com\u002FWh0am123\u002FMCP-Kali-Server)：轻量级API桥接，通过将MCP客户端连接到Kali Linux机器，执行终端命令并解决CTF挑战，从而实现AI驱动的渗透测试。\n\n## ✅ 项目与任务管理\n\n与项目管理和任务跟踪工具集成的服务器。\n\n- [Writbase\u002Fwritbase](https:\u002F\u002Fgithub.com\u002FWritbase\u002Fwritbase)：基于MCP协议的原生任务管理系统，专为AI智能体集群设计，支持多智能体权限管理、完整溯源、智能体间委派以及A2A协议对齐。\n- [ACNet-AI\u002FOmniTaskAgent](https:\u002F\u002Fgithub.com\u002FACNet-AI\u002FOmniTaskAgent)：OmniTaskAgent是一款多功能多模型任务管理系统，可通过MCP协议与各类任务管理工具和编辑器集成，从而提升智能化工作流效率。\n- [linshu123\u002Fvolar_docs](https:\u002F\u002Fgithub.com\u002Flinshu123\u002Fvolar_docs)：Volar通过MCP服务器协调人机协作来简化任务管理，支持异步工作流和上下文组织。\n- [eyalzh\u002Fkanban-mcp](https:\u002F\u002Fgithub.com\u002Feyalzh\u002Fkanban-mcp)：利用看板系统管理AI驱动的工作流，实现跨多个会话的结构化规划与执行。\n- [danielealbano\u002Fmcp-for-azure-devops-boards](https:\u002F\u002Fgithub.com\u002Fdanielealbano\u002Fmcp-for-azure-devops-boards)：借助标准的Azure登录认证，结合stdio和HTTP支持，让您的AI助手像项目经理一样高效管理Azure DevOps Boards。\n- [jj3ny\u002Freclaim-mcp-server](https:\u002F\u002Fgithub.com\u002Fjj3ny\u002Freclaim-mcp-server)：基于TypeScript的MCP服务器，可与Reclaim.ai的API无缝对接，用于任务管理和日程安排。\n- [namanyayg\u002Fgiga-mcp](https:\u002F\u002Fgithub.com\u002Fnamanyayg\u002Fgiga-mcp)：通过自动化记忆与任务跟踪功能，并与MCP客户端深度集成，提升AI项目管理水平。\n- [Moss-G\u002FGantt-server](https:\u002F\u002Fgithub.com\u002FMoss-G\u002FGantt-server)：提供交互式可视化功能，助力AI驱动的甘特图式项目与任务管理。\n- [pj8\u002Fbacklog-mcp-server](https:\u002F\u002Fgithub.com\u002Fpj8\u002Fbacklog-mcp-server)：借助MCP服务器能力，实现与Backlog的无缝集成，便于任务管理。\n- [danielscholl\u002Fbacklog-manager-mcp](https:\u002F\u002Fgithub.com\u002Fdanielscholl\u002Fbacklog-manager-mcp)：面向AI助手的任务跟踪与待办事项管理服务器，采用Anthropic的MCP协议，确保与AI客户端的顺畅对接。\n- [stevengonsalvez\u002Ftodoist-mcp](https:\u002F\u002Fgithub.com\u002Fstevengonsalvez\u002Ftodoist-mcp)：通过兼容MCP的客户端，在Todoist上实现高级任务与项目管理，提升生产力与协作效率。\n- [thezuck\u002Fpage_control_mcp](https:\u002F\u002Fgithub.com\u002Fthezuck\u002Fpage_control_mcp)：基于Node.js的MCP服务器配合Chrome扩展程序，可实现实时网页控制与交互，与Zencoder、Cursor等AI编辑器无缝集成。\n- [Gitreceiver\u002FTAMA-MCP](https:\u002F\u002Fgithub.com\u002FGitreceiver\u002FTAMA-MCP)：Tama是一款增强型AI任务管理CLI工具，同时作为MCP服务器运行，支持程序化任务管理和AI驱动的任务扩展。\n- [mkusaka\u002Flinear-mcp](https:\u002F\u002Fgithub.com\u002Fmkusaka\u002Flinear-mcp)：通过Cline集成，实现对Linear平台上的问题、项目及团队的无缝管理。\n- [digitalcube\u002Fadvanced-backlog-mcp-server](https:\u002F\u002Fgithub.com\u002Fdigitalcube\u002Fadvanced-backlog-mcp-server)：基于Model Context Protocol服务器，与Backlog进行交互，用于项目管理，支持高效查询与管理项目、问题、维基及用户活动。\n- [TickTeam\u002Fticktick-mcp](https:\u002F\u002Fgithub.com\u002FTickTeam\u002Fticktick-mcp)：通过与TickTick集成，用户可借助MCP服务器命令查看和添加任务。\n- [nulab\u002Fbacklog-mcp-server](https:\u002F\u002Fgithub.com\u002Fnulab\u002Fbacklog-mcp-server)：通过Claude集成，助力Backlog上的项目管理和问题追踪。\n- [stevengonsalvez\u002Fmcp-todoist](https:\u002F\u002Fgithub.com\u002Fstevengonsalvez\u002Fmcp-todoist)：将Todoist与语言模型结合，通过自然语言指令实现流畅的任务管理。\n- [bravoure\u002Fclickup-mcp](https:\u002F\u002Fgithub.com\u002Fbravoure\u002Fclickup-mcp)：促进AI助手与ClickUp之间的无缝集成，以实现任务管理和协作。\n- [service-hero\u002Fhousecallpro-mcp-server](https:\u002F\u002Fgithub.com\u002Fservice-hero\u002Fhousecallpro-mcp-server)：部署在Cloudflare Workers上的远程MCP服务器，支持OAuth登录，并可与Claude Desktop集成以调用工具。\n- [Leee62\u002Fsentry-issues-mcp](https:\u002F\u002Fgithub.com\u002FLeee62\u002Fsentry-issues-mcp)：方便检索和分析Sentry中的问题，使LLM能够诊断并提出软件问题的修复建议。\n- [alepenavargas\u002Fmcp-nav](https:\u002F\u002Fgithub.com\u002Falepenavargas\u002Fmcp-nav)：使用可配置的MCP服务器，实现modelcontextprotocol.io网站的导航与内容提取。\n- [tradesdontlie\u002Ftask-manager-mcp](https:\u002F\u002Fgithub.com\u002Ftradesdontlie\u002Ftask-manager-mcp)：提供全面的任务与项目管理功能，具备AI驱动的任务分解与跟踪能力。\n- [Toru-Takagi\u002Ftogello-mcp-server](https:\u002F\u002Fgithub.com\u002FToru-Takagi\u002Ftogello-mcp-server)：利用Model Context Protocol实现任务管理和日历集成。\n- [https-eduardo\u002Fclockify-mcp-server](https:\u002F\u002Fgithub.com\u002Fhttps-eduardo\u002Fclockify-mcp-server)：与AI工具结合，通过向LLM发出提示来管理Clockify的时间记录。\n- [curiousguyinhis30s\u002Fsimple-task-master](https:\u002F\u002Fgithub.com\u002Fcuriousguyinhis30s\u002Fsimple-task-master)：一款任务管理系统，与Desktop Commander MCP集成，用于组织和跟踪Claude桌面代码项目的任务。\n- [tonyzorin\u002Fyoutrack-mcp](https:\u002F\u002Fgithub.com\u002Ftonyzorin\u002Fyoutrack-mcp)：支持AI驱动的与JetBrains YouTrack交互，实现全面的问题、项目和用户管理。\n- [zhongwencool\u002Fdida-mcp-server](https:\u002F\u002Fgithub.com\u002Fzhongwencool\u002Fdida-mcp-server)：通过Model Context Protocol，利用TickTick\u002FDida365实现AI驱动的任务和项目管理。\n- [vanisoul\u002Frundeck-mcp-server](https:\u002F\u002Fgithub.com\u002Fvanisoul\u002Frundeck-mcp-server)：基于Model Context Protocol服务器，支持AI驱动的Rundeck操作，无需直接使用命令行即可完成交互。\n- [GuilhermeBarroso-sys\u002Ftrello-report-mcp](https:\u002F\u002Fgithub.com\u002FGuilhermeBarroso-sys\u002Ftrello-report-mcp)：按季度或年度生成详细的Trello看板报告，与AI助手无缝对接。\n- [larryhudson\u002Flinear-mcp-server-again](https:\u002F\u002Fgithub.com\u002Flarryhudson\u002Flinear-mcp-server-again)：通过Model Context Protocol服务器，促进Claude与Linear之间的任务管理交互。\n- [menma-at-here\u002Fcalendar-mcp-server](https:\u002F\u002Fgithub.com\u002Fmenma-at-here\u002Fcalendar-mcp-server)：通过MCP服务器接口获取Google日历事件。\n- [taskade\u002Fmcp](https:\u002F\u002Fgithub.com\u002Ftaskade\u002Fmcp)——官方Taskade MCP服务器：将Taskade的API连接到任何兼容MCP的客户端（如Claude或Cursor），实现工作区加载、任务检索及交互操作。\n- [TourAround\u002FLystBot](https:\u002F\u002Fgithub.com\u002FTourAround\u002FLystBot)：一款由AI驱动的清单管理MCP服务器。可用于创建购物清单、待办事项和打包清单，添加条目、标记完成，并与家人共享清单。涵盖清单全生命周期的10种MCP工具。免费iOS + Android应用可在lystbot.com下载。\n\n## 🔬 科学与研究\n\n用于访问科学数据库、科研平台，或提供科学计算\u002F模拟工具的服务器。\n\n- [connerlambden\u002Fbgpt-mcp](https:\u002F\u002Fgithub.com\u002Fconnerlambden\u002Fbgpt-mcp)：通过从全文研究中提取的结构化实验数据搜索科技论文，每篇论文可返回25+个字段，包括方法、结果、样本量和质量评分。\n- [GreatApo\u002Fconcrete-properties-mcp](https:\u002F\u002Fgithub.com\u002FGreatApo\u002Fconcrete-properties-mcp)：通过提供统一的API接口来计算几何和材料属性，助力人工智能驱动的钢筋混凝土截面分析。\n- [GooTec\u002FNCBI-MCP](https:\u002F\u002Fgithub.com\u002FGooTec\u002FNCBI-MCP)：通过基于OpenAPI的端点，为基因组、基因和分类学数据提供模块化的MCP服务器，方便访问NCBI数据集。\n- [leelasd\u002Fmolecule_mcp](https:\u002F\u002Fgithub.com\u002Fleelasd\u002Fmolecule_mcp)：通过可视化分子并使用SMILES代码检索分子属性，结合Claude Desktop等大语言模型，助力化学相关应用。\n- [RLabs-Inc\u002Fios-forensics-mcp](https:\u002F\u002Fgithub.com\u002FRLabs-Inc\u002Fios-forensics-mcp)：促进iOS文件系统的法医分析，使AI助手能够探索并报告数字证据。\n- [koido\u002Fliftover-mcp](https:\u002F\u002Fgithub.com\u002Fkoido\u002Fliftover-mcp)：通过程序化接口使用Broad研究所的Liftover工具，实现基因组坐标转换。\n- [Rkm1999\u002FCelestialMCP](https:\u002F\u002Fgithub.com\u002FRkm1999\u002FCelestialMCP)：CelestialMCP提供精确的天文学计算，用于确定天体位置及升落时间，并可无缝集成到Claude AI中。\n- [simpolism\u002FAstroMCP](https:\u002F\u002Fgithub.com\u002Fsimpolism\u002FAstroMCP)：AstroMCP为AI助手提供占星图功能，可通过Model Context Protocol无缝集成。\n- [Nicolassaint\u002FmathsIA_API](https:\u002F\u002Fgithub.com\u002FNicolassaint\u002FmathsIA_API)：MathsIA API结合FastAPI-MCP，使AI模型能够管理数学学习的抽认卡系统，提供用户管理和进度跟踪功能。\n- [Xinruims\u002Fmy_experiment](https:\u002F\u002Fgithub.com\u002FXinruims\u002Fmy_experiment)：通过MCP服务器实现对Roo代码的增强，打造AI驱动的编码工具，支持跨平台的无缝集成与配置。\n- [liuyixin-louis\u002FArxivMCP](https:\u002F\u002Fgithub.com\u002Fliuyixin-louis\u002FArxivMCP)：通过MCP客户端集成，实现对arXiv学术论文的无缝检索与搜索。\n- [wildsonbbl\u002Fgnnepcsaft_mcp_server](https:\u002F\u002Fgithub.com\u002Fwildsonbbl\u002Fgnnepcsaft_mcp_server)：利用Model Context Protocol为GNNePCSAFT工具提供通信和上下文管理功能。\n- [milatechtransfer\u002Fpaperpal](https:\u002F\u002Fgithub.com\u002Fmilatechtransfer\u002Fpaperpal)：通过将LLM与arXiv、Hugging Face论文以及Semantic Scholar相结合，提升文献综述流程。\n- [rperezll\u002Fmcp-lab](https:\u002F\u002Fgithub.com\u002Frperezll\u002Fmcp-lab)：个人实验室，探索TypeScript中的Model Context Protocol SDK，包含基础及高级实现，如Text-to-SQL服务器。\n- [falahgs\u002FBrave-Gemini-Research-MCP-Server](https:\u002F\u002Fgithub.com\u002Ffalahgs\u002FBrave-Gemini-Research-MCP-Server)：借助Brave Search API和Google的Gemini模型，赋能AI助手进行网络搜索和学术论文分析。\n- [Orthogonalpub\u002Fmodelica_simulation_mcp_server](https:\u002F\u002Fgithub.com\u002FOrthogonalpub\u002Fmodelica_simulation_mcp_server)：促进Modelica模型的仿真，使LLM能够执行和管理Modelica相关的任务。\n- [kobzevvv\u002Fmoldsim-mcp](https:\u002F\u002Fgithub.com\u002Fkobzevvv\u002Fmoldsim-mcp)：为AI提供注塑成型仿真知识——包括21种材料的物理性质（Cross-WLF、PVT、热学、力学）、工艺验证、DFM检查清单、故障排除（230多个知识片段，支持语义搜索）以及仿真规格生成。\n- [ytworks\u002FopenMM-Doc-MCP](https:\u002F\u002Fgithub.com\u002Fytworks\u002FopenMM-Doc-MCP)：利用向量嵌入和FAISS高效检索技术，通过OpenMM分子动力学文档实现语义搜索，优化了与LLM的集成。\n- [arrismo\u002Fkaggle-mcp](https:\u002F\u002Fgithub.com\u002Farrismo\u002Fkaggle-mcp)：通过Model Context Protocol提供数据集搜索、下载及EDA笔记本生成工具，促进与Kaggle的交互。\n- [mila-iqia\u002Fpaperpal](https:\u002F\u002Fgithub.com\u002Fmila-iqia\u002Fpaperpal)：通过将LLM与arXiv和Hugging Face论文结合，实现论文讨论与整理的无缝衔接，从而提升文献综述效率。\n- [huang-sh\u002Fscanpy-mcp](https:\u002F\u002Fgithub.com\u002Fhuang-sh\u002Fscanpy-mcp)：利用Scanpy实现自然语言驱动的scRNA-Seq数据分析，支持与AI客户端和代理框架的无缝集成。\n- [datalayer\u002Fjupyter-earth-mcp-server](https:\u002F\u002Fgithub.com\u002Fdatalayer\u002Fjupyter-earth-mcp-server)：通过将NASA Earthdata与Model Context Protocol集成，在Jupyter笔记本中促进地理空间分析。\n- [fdmocho\u002Fmcp_server_nasa](https:\u002F\u002Fgithub.com\u002Ffdmocho\u002Fmcp_server_nasa)：便于与NASA近地天体API集成，通过MCP服务器设置实现按日期检索数据。\n- [hiyenwong\u002Farxiv_mcp](https:\u002F\u002Fgithub.com\u002Fhiyenwong\u002Farxiv_mcp)：利用MCP技术促进对arXiv学术论文的搜索与解读。\n- [demouth\u002Flearn-mcp-server](https:\u002F\u002Fgithub.com\u002Fdemouth\u002Flearn-mcp-server)：一款用于教育目的的简单MCP服务器，支持基本算术运算并与Claude Desktop集成。\n- [Codeshark-NET\u002Fclimate-triage-mcp](https:\u002F\u002Fgithub.com\u002FCodeshark-NET\u002Fclimate-triage-mcp)：与ClimateTriage API集成，帮助搜索与气候变化和可持续发展相关的开源问题。\n- [chcharcharlie\u002F10XResearcher](https:\u002F\u002Fgithub.com\u002Fchcharcharlie\u002F10XResearcher)：10XResearcher将Claude升级为一个系统化的研究代理，配备本地数据存储，支持迭代式研究方法并产出高质量成果。\n- [takashiishida\u002Farxiv-latex-mcp](https:\u002F\u002Fgithub.com\u002Ftakashiishida\u002Farxiv-latex-mcp)：通过处理LaTeX源代码，为Claude Desktop提供对arXiv论文中数学表达式的精准解读。\n- [JackKuo666\u002FPubChem-MCP-Server](https:\u002F\u002Fgithub.com\u002FJackKuo666\u002FPubChem-MCP-Server)：通过简化的MCP接口，助力AI驱动的PubChem化学化合物数据搜索与检索。\n- [HuaLuAI\u002FCAD-MCP](https:\u002F\u002Fgithub.com\u002FHuaLuAI\u002FCAD-MCP)：CAD-MCP支持在多个软件平台上通过自然语言驱动CAD操作，利用直观的文本命令简化绘图任务。\n- [danimal141\u002Farxiv-search-mcp](https:\u002F\u002Fgithub.com\u002Fdanimal141\u002Farxiv-search-mcp)：根据自定义参数，促进对arXiv.org上学术论文的搜索与检索。\n- [sebastien-le-paris\u002Fproject-rules](https:\u002F\u002Fgithub.com\u002Fsebastien-le-paris\u002Fproject-rules)：通过Model Context Protocol将外部工具和数据源与Cursor集成，增强AI项目规则管理和工具执行能力。\n\n## 🔎 搜索\n\n提供网页搜索功能或与专用搜索 API\u002F平台对接的服务器。\n\n- [kokilabo\u002Fpdf-researcher](https:\u002F\u002Fgithub.com\u002Fkokilabo\u002Fpdf-researcher)：一个专门的MCP服务器，旨在使用Brave Search API搜索PDF文档。\n- [joaomj\u002Fdeep-search-mcp](https:\u002F\u002Fgithub.com\u002Fjoaomj\u002Fdeep-search-mcp)：通过LinkUp API实现深网搜索，提供结构化结果和可自定义的搜索参数。\n- [jarondonp\u002Fportfolio-mcp-server](https:\u002F\u002Fgithub.com\u002Fjarondonp\u002Fportfolio-mcp-server)：集成Brave Search API，提供网页和本地搜索功能，支持灵活的过滤和智能回退机制。\n- [dealwallet1\u002Fmeiliseachmcp](https:\u002F\u002Fgithub.com\u002Fdealwallet1\u002Fmeiliseachmcp)：通过LLM接口与Meilisearch无缝交互，提供动态连接管理、搜索能力以及全面的索引和任务管理功能。\n- [marioalexandreantunes\u002Fmcp-search-mojeek](https:\u002F\u002Fgithub.com\u002Fmarioalexandreantunes\u002Fmcp-search-mojeek)：将Mojeek搜索引擎集成到MCP服务器中，用于提供注重隐私且无偏见的搜索结果。\n- [funwarioisii\u002Fperplexity-mcp-rb](https:\u002F\u002Fgithub.com\u002Ffunwarioisii\u002Fperplexity-mcp-rb)：通过基于Perplexity的MCP服务器实现网页搜索操作。\n- [help116114\u002Fzoomeye-mcp-server](https:\u002F\u002Fgithub.com\u002Fhelp116114\u002Fzoomeye-mcp-server)：使AI助手能够通过ZoomEye v2 API查询全网主机和Web数据。\n- [The-AI-Workshops\u002Fsearxng-mcp-server](https:\u002F\u002Fgithub.com\u002FThe-AI-Workshops\u002Fsearxng-mcp-server)：将SearXNG与MCP集成，为AI代理提供注重隐私的搜索能力。\n- [atskimura\u002Fmcp-salesforce-code-search](https:\u002F\u002Fgithub.com\u002Fatskimura\u002Fmcp-salesforce-code-search)：在Salesforce官方示例仓库中进行代码搜索，并按组件类型和文件扩展名进行过滤。\n- [jindasy\u002Fmcp-news](https:\u002F\u002Fgithub.com\u002Fjindasy\u002Fmcp-news)：通过FastMCP服务器利用NewsAPI.org进行新闻文章检索，支持关键词、日期范围和来源筛选。\n- [jmchat\u002Fmcp-search-console-ts](https:\u002F\u002Fgithub.com\u002Fjmchat\u002Fmcp-search-console-ts)：通过Model Context Protocol服务器管理Google Search Console的属性、站点地图和搜索分析数据。\n- [OEvortex\u002Fddg_search](https:\u002F\u002Fgithub.com\u002FOEvortex\u002Fddg_search)：一款注重隐私的MCP服务器，利用DuckDuckGo实现高效的网页搜索和URL内容提取。\n- [wd041216-bit\u002Fcross-validated-search](https:\u002F\u002Fgithub.com\u002Fwd041216-bit\u002Fcross-validated-search)：为AI代理提供证据感知的搜索、页面阅读和声明验证功能，配备CLI、MCP及适用于Gemini、Claude Code、Manus和OpenClaw的技能界面。\n- [BochaAI\u002Fbocha-search-mcp](https:\u002F\u002Fgithub.com\u002FBochaAI\u002Fbocha-search-mcp)：Bocha Search MCP服务器为AI应用提供来自数十亿网页和多样化内容源的高质量知识，提升跨领域搜索能力。\n- [nitish-raj\u002Fsearxng-mcp-bridge](https:\u002F\u002Fgithub.com\u002Fnitish-raj\u002Fsearxng-mcp-bridge)：通过桥接MCP客户端与SearxNG实例来促进搜索操作。\n- [mytechnotalent\u002FRAG_MCP](https:\u002F\u002Fgithub.com\u002Fmytechnotalent\u002FRAG_MCP)：一个语义PDF搜索服务器，利用OCR、FAISS和Transformer模型实现智能查询响应。\n- [g-fukurowl\u002Ffess-mcp-server](https:\u002F\u002Fgithub.com\u002Fg-fukurowl\u002Ffess-mcp-server)：与Fess搜索引擎集成的中间件服务器，允许MCP客户端进行信息检索。\n- [ayush-rudani\u002Fgoogle-search-mcp-server](https:\u002F\u002Fgithub.com\u002Fayush-rudani\u002Fgoogle-search-mcp-server)：集成Google自定义搜索JSON API，提供高级网页搜索功能，支持结构化结果和速率限制。\n- [alizdavoodi\u002FMCPDocSearch](https:\u002F\u002Fgithub.com\u002Falizdavoodi\u002FMCPDocSearch)：一套用于爬取网站并生成可搜索Markdown文档的工具集，通过MCP服务器实现，专为与Cursor等工具集成而优化。\n- [p1atdev\u002Fcode_search_mcp](https:\u002F\u002Fgithub.com\u002Fp1atdev\u002Fcode_search_mcp)：通过MCP服务器设置实现代码搜索功能，支持高效代码检索和分析。\n- [SebastianBoehler\u002Fdomain-check-mcp](https:\u002F\u002Fgithub.com\u002FSebastianBoehler\u002Fdomain-check-mcp)：利用IONOS端点帮助检查域名可用性并提供建议。\n- [Glitchfix\u002Fmcp-duckduckgo](https:\u002F\u002Fgithub.com\u002FGlitchfix\u002Fmcp-duckduckgo)：使LLM无需API密钥即可使用DuckDuckGo进行网页搜索和内容获取。\n- [supertrained\u002Frhumb](https:\u002F\u002Fgithub.com\u002Fsupertrained\u002Frhumb)：为AI代理发现、评估和执行86个类别的695+外部API，提供AN Score信任评分。零注册发现、三种凭据模式以及16种MCP工具，用于查找和比较服务。\n- [mcp-for-dev\u002Fmcp-google-search](https:\u002F\u002Fgithub.com\u002Fmcp-for-dev\u002Fmcp-google-search)：利用Google自定义搜索API进行网页搜索和内容提取，提供结构化结果以增强数据获取能力。\n- [302ai\u002F302_web_search_mcp](https:\u002F\u002Fgithub.com\u002F302ai\u002F302_web_search_mcp)：通过可配置的MCP服务器实现与Claude Desktop的网页搜索集成。\n- [Furafrafrfr\u002Fgoogler](https:\u002F\u002Fgithub.com\u002FFurafrafrfr\u002Fgoogler)：通过Gemini处理命令行输入，实现Google搜索并汇总结果。\n- [skeet-build\u002Fopensearch](https:\u002F\u002Fgithub.com\u002Fskeet-build\u002Fopensearch)：为LLM提供OpenSearch集群的只读访问权限，使其能够检查索引并执行查询。\n- [qianlima365\u002Fzhipu-web-search-mcp](https:\u002F\u002Fgithub.com\u002Fqianlima365\u002Fzhipu-web-search-mcp)：通过MCP工具利用Zhipu AI进行网络搜索。\n- [RmMargt\u002FsearchAPI-mcp](https:\u002F\u002Fgithub.com\u002FRmMargt\u002FsearchAPI-mcp)：通过统一的搜索API接口，帮助AI助手访问Google地图、航班、酒店等服务。\n- [zizzfizzix\u002Fmcp-server-indexnow](https:\u002F\u002Fgithub.com\u002Fzizzfizzix\u002Fmcp-server-indexnow)：通过IndexNow协议发起URL索引请求，提升兼容MCP客户端的内容发现和索引速度。\n- [preludeorg\u002Fwindows-rs-mcp](https:\u002F\u002Fgithub.com\u002Fpreludeorg\u002Fwindows-rs-mcp)：使用Playwright与Rust Windows crate API文档网站无缝交互，方便搜索相关文档。\n- [isnow890\u002Fnaver-search-mcp](https:\u002F\u002Fgithub.com\u002Fisnow890\u002Fnaver-search-mcp)：利用Naver搜索和DataLab API，在Naver各项服务中进行全面的搜索和数据趋势分析。\n- [uju777\u002Fcoupang-mcp](https:\u002F\u002Fgithub.com\u002Fuju777\u002Fcoupang-mcp)：针对韩国最大电商平台Coupang的商品搜索MCP服务器，支持Rocket Delivery筛选和联盟链接生成。\n- [uju777\u002Fmcp-server-naver-search](https:\u002F\u002Fgithub.com\u002Fuju777\u002Fmcp-server-naver-search)：用于Naver搜索（购物、咖啡馆、新闻）的MCP服务器，对韩国用户至关重要。\n- [shopsavvy\u002Fshopsavvy-mcp-server](https:\u002F\u002Fgithub.com\u002Fshopsavvy\u002Fshopsavvy-mcp-server)：提供数千家零售商的实时商品价格、价格历史及购物工具。免费层级，无需注册。\n- [Pattyboi101\u002Findiestack](https:\u002F\u002Fgithub.com\u002FPattyboi101\u002Findiestack)：面向AI代理的开源供应链——在25个类别中搜索并发现3,000多个独立创作。包含15种MCP工具，如find_tools、build_stack、scan_project、compare_tools和analyze_dependencies。可通过`uvx --from indiestack indiestack-mcp`安装。\n\n- [entire-vc\u002Fevc-spark-mcp](https:\u002F\u002Fgithub.com\u002Fentire-vc\u002Fevc-spark-mcp): 用于从 Spark 目录中发现、搜索和安装精选 AI 代理工作流的 MCP 服务器——可搜索 200 多种工具，获取安装配置，并浏览精选工具包。\n- [Nadeus\u002Ftoolradar-mcp](https:\u002F\u002Fgithub.com\u002FNadeus\u002Ftoolradar-mcp): 使用经过验证的数据、编辑评分和真实替代方案，搜索、比较并获取 8,600 多款软件工具的价格信息。\n\n\n\n## 🔒 安全\n\n与安全工具和平台、漏洞数据库、安全扫描、网络安全工具或身份管理交互的服务器。\n\n- [AgentLair](https:\u002F\u002Fagentlair.dev): 面向 AI 代理的安全身份基础设施——为代理提供专属的 @agentlair.dev 邮箱地址、加密凭据保险库以及基于密码学签名的审计日志。远程 MCP 服务器，无需 SMTP\u002FDNS 配置。npm 包：`@agentlair\u002Fmcp`。\n- [Rul1an\u002Fassay](https:\u002F\u002Fgithub.com\u002FRul1an\u002Fassay): MCP 工具调用的防火墙。具备可回放证据包的确定性策略执行代理，覆盖 OWASP MCP Top 10 中的 7 项，并提供合规性套件。采用 MIT 许可证。\n- [ClawSec](https:\u002F\u002Fclawsec.cc): 面向 MCP 服务器和 AI 代理技能的安全审计平台。五层分析流程——静态分析、模式匹配、LLM 语义审查、Firecracker 沙盒执行以及 LLM 审计——可检测恶意模式、数据外泄和提示注入。拥有包含 30,000 多个已审计技能及信任评分的数据库。配套工具 [ClawSearch](https:\u002F\u002Fclawsearch.cc) 提供带有安全评级的安全技能发现功能。\n- [Chill-AI-Space\u002Fvault-mcp](https:\u002F\u002Fgithub.com\u002FChill-AI-Space\u002Fvault-mcp): 用于凭据隔离的 MCP 服务器——代理可在不直接接触上下文的情况下使用密码和 API 密钥。采用 AES-256-GCM 加密、Chrome CDP 登录、API 密钥代理以及防篡改审计日志。\n- [ElromEvedElElyon\u002Fsolanashield-mcp](https:\u002F\u002Fgithub.com\u002FElromEvedElElyon\u002Fsolanashield-mcp): 基于 AI 的 Solana 智能合约安全审计服务器，内置 40 种漏洞模式和 12 种 MCP 工具，覆盖访问控制、CPI 安全性、PDA、代币、算术运算及 DeFi 漏洞利用等场景。\n- [ark-forge\u002Fmcp-eu-ai-act](https:\u002F\u002Fgithub.com\u002Fark-forge\u002Fmcp-eu-ai-act): 扫描代码库中的 AI 框架使用情况（支持 16 种框架），并检查是否符合欧盟《人工智能法案》的要求。具备四层风险分类、GDPR 合规性检查、报告生成以及合规文档模板等功能。\n\n- [ark-forge\u002Farkforge-mcp](https:\u002F\u002Fgithub.com\u002Fark-forge\u002Farkforge-mcp)：用于AI智能体API调用的认证代理。每次工具调用都会生成一份带有签名和时间戳的智能体行动收据（AAR）。该方案与模型无关、厂商中立，可跨任何大语言模型提供商或基础设施使用。\n- [Kevros](https:\u002F\u002Fgovernance.taskhawktech.com)：面向自主AI智能体的运行时智能系统——提供加密动作验证、哈希链溯源以及ML-DSA-87后量子证明。免费套餐：每月1,000次调用。可通过L402、x402或MPP付费。\n- [slowmist\u002FMasterMCP](https:\u002F\u002Fgithub.com\u002Fslowmist\u002FMasterMCP)：MasterMCP通过实际攻击示例展示MCP框架中的安全漏洞，帮助开发者理解并缓解潜在风险。\n- [sxhxliang\u002Fmcp-security-scan](https:\u002F\u002Fgithub.com\u002Fsxhxliang\u002Fmcp-security-scan)：一款Rust应用，用于扫描和验证模型上下文协议服务器配置、提示词、资源及工具的安全性。\n- [Eliran79\u002FVulnerable-file-reader-server](https:\u002F\u002Fgithub.com\u002FEliran79\u002FVulnerable-file-reader-server)：一个Python MCP服务器，以教育为目的展示了命令注入漏洞，强调不当输入净化的风险。\n- [R3verseIN\u002FHackerMCP](https:\u002F\u002Fgithub.com\u002FR3verseIN\u002FHackerMCP)：HackerMCP通过简化界面，使AI助手能够利用Nmap、Metasploit等渗透测试和安全工具。\n- [RobertoDure\u002Fmcp-vulnerability-scanner](https:\u002F\u002Fgithub.com\u002FRobertoDure\u002Fmcp-vulnerability-scanner)：使用Nmap和基于API的检查扫描IP地址上的漏洞，并提供包含严重程度和修复步骤的详细报告。\n- [crazyMarky\u002Fmcp_nuclei_server](https:\u002F\u002Fgithub.com\u002FcrazyMarky\u002Fmcp_nuclei_server)：借助Nuclei进行漏洞扫描，并集成MCP协议，支持可配置的过滤和JSON输出。\n- [Medinios\u002FSuricataMCP](https:\u002F\u002Fgithub.com\u002FMedinios\u002FSuricataMCP)：SuricataMCP通过模型上下文协议服务器，利用Suricata实现自主网络流量分析，便于与AI编码工具无缝集成。\n- [dev-lu\u002FPentestMCP](https:\u002F\u002Fgithub.com\u002Fdev-lu\u002FPentestMCP)：在Kali Linux上，通过Claude等大语言模型的自然语言指令来执行安全扫描。\n- [The-Nexus-Guard\u002Faip-mcp-server](https:\u002F\u002Fgithub.com\u002FThe-Nexus-Guard\u002Faip-mcp-server)：Agent Identity Protocol MCP服务器，为AI智能体提供加密身份验证、信任链管理和安全消息传递功能，涵盖DID创建、挑战响应验证、担保和工件签名等8项工具。\n- [trustasia-com\u002Fmyssl-mcp-server-python](https:\u002F\u002Fgithub.com\u002Ftrustasia-com\u002Fmyssl-mcp-server-python)：MySSL MCP服务器执行站点安全证书检查，并与LLM模型集成以增强分析能力。\n- [dkvdm\u002Fonepassword-mcp-server](https:\u002F\u002Fgithub.com\u002Fdkvdm\u002Fonepassword-mcp-server)：方便从1Password中安全提取凭据，以便与代理型AI集成。\n- [GH05TCREW\u002FMetasploitMCP](https:\u002F\u002Fgithub.com\u002FGH05TCREW\u002FMetasploitMCP)：促进AI驱动的Metasploit交互，实现动态安全测试和漏洞利用工作流。\n- [EdenYavin\u002FGarak-MCP](https:\u002F\u002Fgithub.com\u002FEdenYavin\u002FGarak-MCP)：通过轻量级MCP服务器，利用Garak对各类LLM进行漏洞扫描。\n- [GH05TCREW\u002FwinsecMCP](https:\u002F\u002Fgithub.com\u002FGH05TCREW\u002FwinsecMCP)：自动化Windows安全配置，管理防火墙、RDP、UAC和账户策略。\n- [CyberSecurityUP\u002FOffensive-MCP-AI](https:\u002F\u002Fgithub.com\u002FCyberSecurityUP\u002FOffensive-MCP-AI)：专注于网络安全的MCP服务器，集成AI技术，实现自主红队行动、威胁狩猎和事件响应自动化。\n- [ashgw\u002Fvault-mcp](https:\u002F\u002Fgithub.com\u002Fashgw\u002Fvault-mcp)：通过模型上下文协议服务器，实现与HashiCorp Vault的安全交互，用于机密和策略管理。\n- [ca-risken\u002Frisken-mcp-server](https:\u002F\u002Fgithub.com\u002Fca-risken\u002Frisken-mcp-server)：促进与RISKEN API的无缝集成，提供高级自动化和交互能力。\n- [mytechnotalent\u002FMalwareBazaar_MCP](https:\u002F\u002Fgithub.com\u002Fmytechnotalent\u002FMalwareBazaar_MCP)：AI驱动的服务器可自主对接MalwareBazaar，为网络安全研究提供实时威胁情报和样本元数据。\n- [jmorrell-cloudflare\u002Fmcp-bearer-auth-example](https:\u002F\u002Fgithub.com\u002Fjmorrell-cloudflare\u002Fmcp-bearer-auth-example)：在Cloudflare上实现远程MCP服务器，采用Bearer Token认证以确保连接安全。\n- [naebo\u002Fmcp-external-recon-server](https:\u002F\u002Fgithub.com\u002Fnaebo\u002Fmcp-external-recon-server)：开展主动外部侦察，包括DNS枚举、子域名发现和SSL证书检查，用于进攻性安全活动。\n- [javaDer\u002Fmcp-sentry-custom](https:\u002F\u002Fgithub.com\u002FjavaDer\u002Fmcp-sentry-custom)：方便从Sentry获取和分析问题，提供关于错误报告和调试信息的详细洞察。\n- [auth0\u002Fauth0-mcp-server](https:\u002F\u002Fgithub.com\u002Fauth0\u002Fauth0-mcp-server)：通过与LLM和AI智能体集成，实现自然语言驱动的Auth0操作管理。\n- [bornpresident\u002FMISP-MCP-SERVER](https:\u002F\u002Fgithub.com\u002Fbornpresident\u002FMISP-MCP-SERVER)：与MISP集成，提升大型语言模型的威胁情报能力。\n- [bottobot\u002Fdefense-mcp-server](https:\u002F\u002Fgithub.com\u002Fbottobot\u002Fdefense-mcp-server)：包含31种防御性安全工具，提供250多种操作，用于Linux系统加固、合规审计、防火墙管理、漏洞扫描和事件响应。默认启用试运行模式。\n- [JithukrishnanV\u002FMCP-CyberAgent](https:\u002F\u002Fgithub.com\u002FJithukrishnanV\u002FMCP-CyberAgent)：MCP-CyberAgent将Claude Desktop与VirusTotal、Nmap和Shodan等网络安全工具连接起来，用于AI驱动的威胁检测和网络分析。\n- [gleicon\u002Fmcp-osv](https:\u002F\u002Fgithub.com\u002Fgleicon\u002Fmcp-osv)：通过与OSV.dev及AI模型集成，促进代码安全审查，识别潜在漏洞。\n- [enkryptai\u002Fenkryptai-mcp-server](https:\u002F\u002Fgithub.com\u002Fenkryptai\u002Fenkryptai-mcp-server)：借助Enkrypt AI MCP服务器，可将红队行动、提示词审计和AI安全分析集成到任何兼容MCP的客户端中。\n- [Eacus\u002Fmisp-mcp](https:\u002F\u002Fgithub.com\u002FEacus\u002Fmisp-mcp)：通过模型上下文协议服务器与MISP交互，实现与AI模型的无缝集成，从而增强数据管理和分析能力。\n- [MorDavid\u002FExternalAttacker-MCP](https:\u002F\u002Fgithub.com\u002FMorDavid\u002FExternalAttacker-MCP)：ExternalAttacker将自动化侦察工具与自然语言接口相结合，用于全面的外部攻击面管理。\n- [stoyky\u002Fmitre-attack-mcp](https:\u002F\u002Fgithub.com\u002Fstoyky\u002Fmitre-attack-mcp)：通过模型上下文协议服务器查询和可视化MITRE ATT&CK知识库，实现威胁行为者和恶意软件的归因。\n- [stevenyu113228\u002FBloodHound-MCP](https:\u002F\u002Fgithub.com\u002Fstevenyu113228\u002FBloodHound-MCP)：BloodHound MCP使LLM能够通过自然语言查询与Active Directory环境交互并进行分析，从而增强BloodHound工具的功能。\n- [Ludok-4\u002FGhidra](https:\u002F\u002Fgithub.com\u002FLudok-4\u002FGhidra)：ghidraMCP通过将Ghidra的反编译和分析工具与MCP客户端集成，使LLM能够自主进行应用程序逆向工程。\n- [microsoft\u002Fagent-governance-toolkit](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fagent-governance-toolkit)：面向AI智能体的内核级治理MCP服务器——强制执行确定性策略（工具过滤、预算上限、速率限制、审计日志），而非基于提示词的护栏机制。属于microsoft\u002Fagent-lightning项目（1.4万星）。可通过`npx agentos-mcp-server`运行。\n\n- [operantlabs\u002Foperant-mcp](https:\u002F\u002Fgithub.com\u002Foperantlabs\u002Foperant-mcp)：一款用于安全测试的 MCP 服务器，内置 51 款工具，涵盖渗透测试、网络取证、内存分析和漏洞评估。可通过 `npx operant-mcp` 安装。\n- [scopeblind\u002Fscopeblind-gateway](https:\u002F\u002Fgithub.com\u002Fscopeblind\u002Fscopeblind-gateway)：MCP 服务器的安全网关——支持按工具配置策略（Cedar + JSON）、Ed25519 签名的决策回执、人工审批环节以及信任层级。默认启用影子模式。可通过 `npx protect-mcp` 安装。\n- [shadoprizm\u002Fcyberlens-mcp-server](https:\u002F\u002Fgithub.com\u002Fshadoprizm\u002Fcyberlens-mcp-server)：面向 AI 助手的安全扫描 MCP 服务器——可扫描网站以查找缺失的 HTTP 头部和 HTTPS 相关问题，扫描 GitHub 仓库以发现密钥和 CVE 漏洞，并在安装 Claw Hub 技能前检测其中是否含有恶意代码。提供免费版，支持本地快速扫描（无需注册账号）。命令为：`npx -y @shadoprizm\u002Fcyberlens-mcp-server`。\n\n## 📱 社交媒体与内容平台\n\n与社交网络、内容平台或信息流聚合器交互的服务器。\n\n- [NexusX-MCP\u002Fintegrate-mcp-server](https:\u002F\u002Fgithub.com\u002FNexusX-MCP\u002Fintegrate-mcp-server)：一个可扩展的服务器，提供对社交和链上数据的标准化访问，支持 Farcaster 等平台，并计划集成 Twitter。\n- [sriramsowmithri9807\u002FMCP_X](https:\u002F\u002Fgithub.com\u002Fsriramsowmithri9807\u002FMCP_X)：通过标准化的 MCP 接口，促进 AI 模型与 Twitter\u002FX API 的交互，实现推文管理和数据获取。\n- [Arindam200\u002Fdevto-mcp](https:\u002F\u002Fgithub.com\u002FArindam200\u002Fdevto-mcp)：使 AI 助手能够与 Dev.to 内容互动，提供文章获取、搜索和管理等功能。\n- [Sergiolm17\u002Fgenius-mcp-server](https:\u002F\u002Fgithub.com\u002FSergiolm17\u002Fgenius-mcp-server)：通过 MCP 客户端应用，方便与 Genius API 交互，用于搜索歌词、艺术家和歌曲详情。\n- [rafaljanicki\u002Fx-twitter-mcp-server](https:\u002F\u002Fgithub.com\u002Frafaljanicki\u002Fx-twitter-mcp-server)：促进 AI 驱动的 Twitter 交互，支持通过自然语言指令管理推文和用户互动。\n- [shariqriazz\u002Fupsplash-mcp-server](https:\u002F\u002Fgithub.com\u002Fshariqriazz\u002Fupsplash-mcp-server)：通过 MCP 工具与 Unsplash API 交互，实现照片搜索和下载。\n- [funtuan\u002Ftw-kfc-coupon-mcp](https:\u002F\u002Fgithub.com\u002Ffuntuan\u002Ftw-kfc-coupon-mcp)：使用 MCP 协议搜索台湾肯德基优惠券，便于与 AI 驱动的应用无缝集成。\n- [LuniaKunal\u002Fmcp-twitter](https:\u002F\u002Fgithub.com\u002FLuniaKunal\u002Fmcp-twitter)：支持程序化管理 Twitter 账号，具备时间线获取、话题标签搜索和私信发送等功能。\n- [LT-aitools\u002FMCPblusky](https:\u002F\u002Fgithub.com\u002FLT-aitools\u002FMCPblusky)：连接 Bluesky 平台，实现与 ATProtocol 功能的自然语言交互，为 LLM 应用提供来自 Bluesky 的上下文数据。\n- [yorickchan\u002Fmcp_youtube_dlp](https:\u002F\u002Fgithub.com\u002Fyorickchan\u002Fmcp_youtube_dlp)：帮助 AI 助手利用 yt-dlp 下载 YouTube 视频和音频。\n- [ganyariya\u002Fmisskey-mcp-server](https:\u002F\u002Fgithub.com\u002Fganyariya\u002Fmisskey-mcp-server)：通过非官方的 MCP 服务器实现，方便在 Misskey 上发布动态。\n- [saginawj\u002Fmcp-reddit-companion](https:\u002F\u002Fgithub.com\u002Fsaginawj\u002Fmcp-reddit-companion)：通过自然语言交互提升 Reddit 使用体验，支持自定义精选信息流和内容分析，兼容您偏好的 LLM 客户端。\n- [stephen9412\u002Fyoutube-mcp-server](https:\u002F\u002Fgithub.com\u002Fstephen9412\u002Fyoutube-mcp-server)：面向 YouTube 的 FastMCP 服务器，为记忆代理和自动化工作流提供统一的视频、频道和播放列表管理工具。\n- [Yooki-K\u002Fweibo-mcp-server](https:\u002F\u002Fgithub.com\u002FYooki-K\u002Fweibo-mcp-server)：基于 MCP 框架，抓取并展示微博热搜数据，包括排名、详情和评论。\n- [bossdong955\u002Fweibo-mcp-server](https:\u002F\u002Fgithub.com\u002Fbossdong955\u002Fweibo-mcp-server)：支持以 stdio 和 SSE 模式检索微博前 N 条热门话题。\n- [kukapay\u002Ftwitter-username-changes-mcp](https:\u002F\u002Fgithub.com\u002Fkukapay\u002Ftwitter-username-changes-mcp)：追踪 Twitter 用户名的历史变更记录，以识别加密项目中的潜在诈骗风险。\n- [bads1de\u002FGNews-MCP](https:\u002F\u002Fgithub.com\u002Fbads1de\u002FGNews-MCP)：集成 GNews API，提供跨类别和多语言的全球新闻文章访问。\n- [Lunran\u002Frssmcp](https:\u002F\u002Fgithub.com\u002FLunran\u002Frssmcp)：抓取并格式化 RSS 订阅源条目，可选导出功能。\n- [freestylefly\u002Fmcp-server-weread](https:\u002F\u002Fgithub.com\u002Ffreestylefly\u002Fmcp-server-weread)：轻量级服务器，将 WeRead 数据与 Claude Desktop 桥接，实现阅读笔记和数据的无缝访问。\n- [Arnoutopya\u002Fclaude-google-images-mcp](https:\u002F\u002Fgithub.com\u002FArnoutopya\u002Fclaude-google-images-mcp)：增强 Claude Desktop 功能，使其能够通过自然语言指令搜索、浏览和下载 Google 图片。\n- [Alirezawmoradi\u002Fgithub-follower-manager-mcp](https:\u002F\u002Fgithub.com\u002FAlirezawmoradi\u002Fgithub-follower-manager-mcp)：利用模型上下文协议管理并分析 GitHub 关注关系，实现无缝自动化和自然语言控制。\n- [Zmingfeng\u002Fnews_mcp](https:\u002F\u002Fgithub.com\u002FZmingfeng\u002Fnews_mcp)：一款工具，用于从多个来源获取最新新闻，并与支持 MCP 的 AI 助手集成。\n- [renant\u002Fmcp-tabnews](https:\u002F\u002Fgithub.com\u002Frenant\u002Fmcp-tabnews)：通过模型上下文协议提供内容获取和分析工具，实现与 TabNews 的无缝对接。\n- [jean-technologies\u002Fmcp-writer-substack](https:\u002F\u002Fgithub.com\u002Fjean-technologies\u002Fmcp-writer-substack)：将 Claude 与 Substack 和 Medium 的文章连接起来，支持语义搜索和个性化协助。\n- [Rakibulislamsarkar\u002Ftwitter-mcp](https:\u002F\u002Fgithub.com\u002FRakibulislamsarkar\u002Ftwitter-mcp)：通过模型上下文协议服务器，方便与 Twitter 交互，进行推文发布和搜索。\n- [objones25\u002Fremote-cloudflare-youtube-transcript-mcp-server](https:\u002F\u002Fgithub.com\u002Fobjones25\u002Fremote-cloudflare-youtube-transcript-mcp-server)：部署在 Cloudflare Workers 上的无服务器 MCP 服务器，用于提取 YouTube 视频字幕，支持多语言且响应极快。\n- [gulihua10010\u002Fmcp-server-article](https:\u002F\u002Fgithub.com\u002Fgulihua10010\u002Fmcp-server-article)：结合 AI 和 MCP 协议，自动撰写并发布文章至 CSDN、Juejin 和 Cnblogs 等平台。\n- [dabidstudio\u002Fyoutubeinsights-mcp-server](https:\u002F\u002Fgithub.com\u002Fdabidstudio\u002Fyoutubeinsights-mcp-server)：帮助从 YouTube 视频中提取洞察，支持字幕解析、基于关键词的视频发现以及频道信息获取。\n- [1282saa\u002Fnews_se](https:\u002F\u002Fgithub.com\u002F1282saa\u002Fnews_se)：为 AI 模型提供对首尔经济日报风格指南数据的访问权限，并配备高级搜索和认证功能。\n- [tropical-362827\u002Ffutaba-mcp](https:\u002F\u002Fgithub.com\u002Ftropical-362827\u002Ffutaba-mcp)：一个 Python 库，允许 AI 助手通过检索和排序主题帖数据，与 ふたば☆ちゃんねる 进行交互。\n\n## ⚽ 体育\n\n提供体育相关 API 和数据分析服务的服务器。\n\n- [dhrbtjr0331\u002Fnba-stats-predictor-mcp](https:\u002F\u002Fgithub.com\u002Fdhrbtjr0331\u002Fnba-stats-predictor-mcp)：基于实时数据分析和高级统计建模，生成 NBA 球员表现预测。\n- [JamsusMaximus\u002Ftrainingpeaks-mcp](https:\u002F\u002Fgithub.com\u002FJamsusMaximus\u002Ftrainingpeaks-mcp)：访问 TrainingPeaks 的训练数据，包括体能指标（CTL\u002FATL\u002FTSB）、训练历史以及耐力型运动员的力量\u002F配速个人记录。\n- [henryco23\u002FNBA](https:\u002F\u002Fgithub.com\u002Fhenryco23\u002FNBA)：一个使用 MCP 的 Python 服务器，通过 NBA API 提供对 NBA 统计数据和实时比赛数据的全面访问。\n- [yeonupark\u002Fmcp-soccer-data](https:\u002F\u002Fgithub.com\u002Fyeonupark\u002Fmcp-soccer-data)：利用 SoccerDataAPI，通过自然语言交互提供实时足球比赛数据。\n- [guillochon\u002Fmlb-api-mcp](https:\u002F\u002Fgithub.com\u002Fguillochon\u002Fmlb-api-mcp)：一个 Python MCP 服务器，作为免费 MLB API 的代理，该 API 提供球员信息、统计数据和比赛信息。\n\n## ✈️ 旅行与交通\n\n提供与航班、火车、交通API或旅行规划相关数据或服务的服务器。\n\n- [RikGmee\u002FsearchAPI-mcp](https:\u002F\u002Fgithub.com\u002FRikGmee\u002FsearchAPI-mcp)：通过多上下文协议服务器，整合航班、酒店和地图服务，简化复杂的旅行规划流程。\n- [achel-b8\u002Frakuten-hotel-search-mcp](https:\u002F\u002Fgithub.com\u002Fachel-b8\u002Frakuten-hotel-search-mcp)：利用乐天旅游API进行酒店空房查询，根据入住日期、地点等指定条件返回结果。\n- [ralf-boltshauser\u002Fsbb-mcp-server](https:\u002F\u002Fgithub.com\u002Fralf-boltshauser\u002Fsbb-mcp-server)：一个基于TypeScript的MCP服务器入门项目，内置回声服务器实现，支持STDIO和SSE两种通信模式。\n- [Joooook\u002F12306-mcp](https:\u002F\u002Fgithub.com\u002FJoooook\u002F12306-mcp)：基于模型上下文协议的简单API接口，方便用户查询12306车票信息。\n- [variflight\u002Fvariflight-mcp](https:\u002F\u002Fgithub.com\u002Fvariflight\u002Fvariflight-mcp)：为Variflight服务提供航班信息、天气数据及飞行舒适度指标的查询功能。\n- [cevatkerim\u002Fchargenow-mcp](https:\u002F\u002Fgithub.com\u002Fcevatkerim\u002Fchargenow-mcp)：借助ChargeNow API，帮助AI助手定位并获取电动汽车充电站的实时状态。\n- [amith-vp\u002Findian-railway-mcp](https:\u002F\u002Fgithub.com\u002Famith-vp\u002Findian-railway-mcp)：通过Claude Desktop集成，无缝访问印度铁路数据，包括列车查询、座位余票及实时运行状态更新。\n- [rajprem4214\u002Findian-railways-mcp](https:\u002F\u002Fgithub.com\u002Frajprem4214\u002Findian-railways-mcp)：使用模型上下文协议，提供印度铁路的实时站点状态和列车信息。\n- [JordanDalton\u002FDoorDash-MCP-Server](https:\u002F\u002Fgithub.com\u002FJordanDalton\u002FDoorDash-MCP-Server)：通过可定制的MCP服务器配置，实现与DoorDash的集成。\n- [kennyfong19931\u002Fmcp-hk-transport-eta](https:\u002F\u002Fgithub.com\u002Fkennyfong19931\u002Fmcp-hk-transport-eta)：通过MCP服务器，实现在香港获取公共交通预计到站时间的功能。\n- [harimkang\u002Fmcp-korea-tourism-api](https:\u002F\u002Fgithub.com\u002Fharimkang\u002Fmcp-korea-tourism-api)：利用韩国旅游API，赋能AI助手探索韩国旅游资源，提供景点、活动和住宿的详细信息。\n- [donghyun-chae\u002Fmcp-amadeus](https:\u002F\u002Fgithub.com\u002Fdonghyun-chae\u002Fmcp-amadeus)：集成Amadeus航班搜索API，使兼容MCP的客户端能够通过自然语言进行航班查询。\n- [opspawn\u002FGoogle-Flights-MCP-Server](https:\u002F\u002Fgithub.com\u002Fopspawn\u002FGoogle-Flights-MCP-Server)：使用fast_flights库与Google Flights数据交互，获取并分析航班信息。\n- [hrishabhn\u002Fflight-mcp](https:\u002F\u002Fgithub.com\u002Fhrishabhn\u002Fflight-mcp)：通过RapidAPI Skyscanner API，借助模型上下文协议实现航班查询和预订。\n- [birariro\u002Fagoda-review-mcp](https:\u002F\u002Fgithub.com\u002Fbirariro\u002Fagoda-review-mcp)：帮助大型语言模型检索并汇总Agoda酒店评价，以辅助决策。\n- [arjunkmrm\u002Fsg-lta-mcp](https:\u002F\u002Fgithub.com\u002Farjunkmrm\u002Fsg-lta-mcp)：通过MCP服务器访问新加坡陆路交通管理局的实时交通数据。\n- [Cyreslab-AI\u002Fflightradar24-mcp-server](https:\u002F\u002Fgithub.com\u002FCyreslab-AI\u002Fflightradar24-mcp-server)：通过模型上下文协议服务器，提供来自Flightradar24的实时航班跟踪数据。\n- [kennyckk\u002Fmcp_hkbus](https:\u002F\u002Fgithub.com\u002Fkennyckk\u002Fmcp_hkbus)：为语言模型提供香港九巴和龙运巴士线路信息及到站时间的实时访问。\n- [pab1it0\u002Ftripadvisor-mcp](https:\u002F\u002Fgithub.com\u002Fpab1it0\u002Ftripadvisor-mcp)：通过标准化的MCP接口，助力AI驱动探索Tripadvisor的位置数据、点评和照片。\n- [Cyreslab-AI\u002Fflightradar-mcp-server](https:\u002F\u002Fgithub.com\u002FCyreslab-AI\u002Fflightradar-mcp-server)：利用AviationStack API，提供实时航班跟踪和状态信息。\n- [Abiorh001\u002Fmcp_ev_assistant_server](https:\u002F\u002Fgithub.com\u002FAbiorh001\u002Fmcp_ev_assistant_server)：结合强大的API和交互式工具，高效管理电动汽车充电站并规划行程。\n- [smamidipaka6\u002Fflights-mcp-server](https:\u002F\u002Fgithub.com\u002Fsmamidipaka6\u002Fflights-mcp-server)：将AI代理连接到Google Flights数据，用于获取全面的航班信息、筛选最便宜的选项以及按时间限制过滤。\n- [openbnb-org\u002Fmcp-server-airbnb](https:\u002F\u002Fgithub.com\u002Fopenbnb-org\u002Fmcp-server-airbnb)：无需API密钥即可搜索Airbnb房源并获取详细信息，同时遵守robots.txt规则。\n- [salamentic\u002Fgoogle-flights-mcp](https:\u002F\u002Fgithub.com\u002Fsalamentic\u002Fgoogle-flights-mcp)：利用fast-flights API实现旅行社级别的航班规划，与Claude Desktop无缝集成。\n- [piddlingtuna\u002Ftfnsw-realtime-alerts-mcp-server](https:\u002F\u002Fgithub.com\u002Fpiddlingtuna\u002Ftfnsw-realtime-alerts-mcp-server)：帮助AI驱动访问新南威尔士州交通局的实时交通预警信息，为语言模型提供最新的运营中断资讯。\n- [tomekkorbak\u002Fstrava-mcp-server](https:\u002F\u002Fgithub.com\u002Ftomekkorbak\u002Fstrava-mcp-server)：通过模型上下文协议服务器访问Strava运动员活动数据，使语言模型能够查询近期及历史活动详情。\n- [jason-tan-swe\u002Frailway-mcp](https:\u002F\u002Fgithub.com\u002Fjason-tan-swe\u002Frailway-mcp)：与Railway.app无缝集成，支持用自然语言管理部署、服务和变量。\n- [arjunkmrm\u002Fmcp-sg-lta](https:\u002F\u002Fgithub.com\u002Farjunkmrm\u002Fmcp-sg-lta)：从新加坡陆路交通管理局DataMall API获取实时交通数据，包括公交车到站信息、列车警报及交通事件。\n- [lumile\u002Flumbretravel-mcp](https:\u002F\u002Fgithub.com\u002Flumile\u002Flumbretravel-mcp)：实现与LumbreTravel API的无缝对接，便于管理旅行计划和活动。\n- [MariyaFilippova\u002Fmcp-strava](https:\u002F\u002Fgithub.com\u002FMariyaFilippova\u002Fmcp-strava)：促进Strava API与Claude for Desktop之间的无缝集成，从而高效处理Strava活动数据。\n\n## 🔧 工具与辅助服务\n\n提供时间日期信息、计算器、骰子模拟器、格式化工具、单位换算、UUID生成等简单通用工具的服务器。\n\n- [FlatFilers\u002Fmcp-server-flatfile](https:\u002F\u002Fgithub.com\u002FFlatFilers\u002Fmcp-server-flatfile)：通过可定制的MCP服务器，简化与Flatfile API的交互，实现高效的数据管理和集成。\n- [Nozomuts\u002Fdate-mcp](https:\u002F\u002Fgithub.com\u002FNozomuts\u002Fdate-mcp)：通过简单的MCP服务器，以指定格式和时区提供当前日期和时间。\n- [BrightLin\u002Fmcp-server-port-cleaner](https:\u002F\u002Fgithub.com\u002FBrightLin\u002Fmcp-server-port-cleaner)：Node.js服务器，用于解决端口冲突，终止占用指定端口的进程，确保开发流程顺畅。\n- [raymondlowe\u002Froo-code-custom-mode-editor-mcp-server](https:\u002F\u002Fgithub.com\u002Fraymondlowe\u002Froo-code-custom-mode-editor-mcp-server)：无需直接操作文件，即可通过MCP服务器列出、创建和修改Roo Code自定义模式字段，方便编辑。\n- [LittleFatz\u002Fmcp-demo](https:\u002F\u002Fgithub.com\u002FLittleFatz\u002Fmcp-demo)：通过MCP服务器实现文件计数、搜索和内容分析等操作，使LLM能够访问并操作文件系统。\n- [shivaji43\u002Fgibwork-mcp](https:\u002F\u002Fgithub.com\u002Fshivaji43\u002Fgibwork-mcp)：利用模型上下文协议，在GibWork平台上进行任务管理。\n- [dotku\u002Fmcpm](https:\u002F\u002Fgithub.com\u002Fdotku\u002Fmcpm)：轻松管理和配置多个MCP服务器，支持文件系统操作及SSE服务器集成。\n- [adarshem\u002Fmcp-server-learn](https:\u002F\u002Fgithub.com\u002Fadarshem\u002Fmcp-server-learn)：基于Node.js的MCP服务器，使用美国国家气象局API提供天气预警和预报。\n- [dynstat\u002Fagents-mcp-clients](https:\u002F\u002Fgithub.com\u002Fdynstat\u002Fagents-mcp-clients)：通过MCP的服务器-客户端架构，简化文件系统操作。\n- [Kr8thor\u002Fn8n-mcp-tool](https:\u002F\u002Fgithub.com\u002FKr8thor\u002Fn8n-mcp-tool)：在Docker容器中管理n8n工作流，提供列出、更新和故障排除工作流的工具。\n- [va99\u002Fnapier](https:\u002F\u002Fgithub.com\u002Fva99\u002Fnapier)：Napier通过提示式命令安装MCP服务器，简化npm和PyPi托管服务器的部署流程。\n- [Masa1984a\u002Fjrhokkaido_train_info](https:\u002F\u002Fgithub.com\u002FMasa1984a\u002Fjrhokkaido_train_info)：为JR北海道提供实时列车运行信息，包括延误和取消情况，覆盖多个地区。\n- [helebest\u002Fmy-mcp-lab](https:\u002F\u002Fgithub.com\u002Fhelebest\u002Fmy-mcp-lab)：搭建并运行SSE MCP服务器，实现与各类桌面应用的无缝集成。\n- [vitolrosario\u002Fhttp-request-mcp](https:\u002F\u002Fgithub.com\u002Fvitolrosario\u002Fhttp-request-mcp)：利用MCP服务器发起HTTP请求，支持多种HTTP方法，简化网络交互。\n- [bsmnyk\u002Fmkslides-mcp](https:\u002F\u002Fgithub.com\u002Fbsmnyk\u002Fmkslides-mcp)：通过模型上下文协议集成mkslides库，将Markdown转换为HTML幻灯片。\n- [qianO33\u002Fmcp-excel-server](https:\u002F\u002Fgithub.com\u002FqianO33\u002Fmcp-excel-server)：基于Node.js的MCP服务器，利用模型上下文协议处理Excel文件操作。\n- [Jerry-is-coder\u002Fmcp-excel-controller-pro](https:\u002F\u002Fgithub.com\u002FJerry-is-coder\u002Fmcp-excel-controller-pro)：在Node.js环境中实现高级Excel文件操作，包括读取、写入和工作表管理。\n- [tuki0918\u002Feagle-mcp-server](https:\u002F\u002Fgithub.com\u002Ftuki0918\u002Feagle-mcp-server)：通过模型上下文协议服务器，与Eagle应用无缝集成，高效管理文件夹和项目。\n- [sam-trost\u002Fmcp-server-svgl](https:\u002F\u002Fgithub.com\u002Fsam-trost\u002Fmcp-server-svgl)：使用SVGL处理和验证SVG内容，提供仓库访问权限及详细的错误报告。\n- [ndlxp2008\u002Fwrite_emoji_mcp](https:\u002F\u002Fgithub.com\u002Fndlxp2008\u002Fwrite_emoji_mcp)：一款CLI工具，通过添加表情符号增强Markdown文档的吸引力和生动性。\n- [protagolabs\u002FNetmind-Parse-PDF-MCP](https:\u002F\u002Fgithub.com\u002Fprotagolabs\u002FNetmind-Parse-PDF-MCP)：利用Netmind的MCP服务器，将URL中的PDF文件转换为结构化的JSON或Markdown格式。\n- [devjiel\u002Fmcp-echo-server](https:\u002F\u002Fgithub.com\u002Fdevjiel\u002Fmcp-echo-server)：一个回显文本消息的MCP服务器，用于测试和开发。\n- [ASJordi\u002Fwhois-mcp](https:\u002F\u002Fgithub.com\u002FASJordi\u002Fwhois-mcp)：通过标准化接口，利用模型上下文协议提供WHOIS查询功能。\n- [rims-dev\u002FRIMS-MCP](https:\u002F\u002Fgithub.com\u002Frims-dev\u002FRIMS-MCP)：通过专用MCP服务器获取RIMS信息。\n- [nguyendinhsinh361\u002Fsupergateway-sinhnd](https:\u002F\u002Fgithub.com\u002Fnguyendinhsinh361\u002Fsupergateway-sinhnd)：Supergateway支持通过SSE或WebSockets运行基于MCP stdio的服务器，实现远程访问和与Web客户端的无缝集成。\n- [tvriesde\u002Fmcp-license-check](https:\u002F\u002Fgithub.com\u002Ftvriesde\u002Fmcp-license-check)：通过简单的MCP服务器，根据荷兰车牌号提供车辆数据。\n- [WeatherXM\u002Fweatherxm-pro-mcp](https:\u002F\u002Fgithub.com\u002FWeatherXM\u002Fweatherxm-pro-mcp)：通过MCP工具访问WeatherXM PRO API，获取天气数据和预报。\n- [trutohq\u002Ftruto-mcp-stdio](https:\u002F\u002Fgithub.com\u002Ftrutohq\u002Ftruto-mcp-stdio)：一个命令行界面代理，促进JSON-RPC消息与HTTP可流式传输的MCP服务器之间的通信。\n- [veithly\u002Fipfs-uploader](https:\u002F\u002Fgithub.com\u002Fveithly\u002Fipfs-uploader)：基于TypeScript的MCP服务器，用于将图片上传至IPFS，并配备简单的笔记系统，支持文本笔记的创建和摘要功能。\n- [OpenSourceGuru776\u002Fconsist](https:\u002F\u002Fgithub.com\u002FOpenSourceGuru776\u002Fconsist)：Markdownify可以将各种文件类型和网页内容转换为Markdown格式，提升可读性和分享性。\n\n- [IteraTools](https:\u002F\u002Fapi.iteratools.com)：云托管的多功能MCP API，通过单一端点提供34种以上功能：图像生成（Flux）、网页抓取、TTS、OCR、浏览器自动化、沙盒代码执行、DNS查询、WHOIS、天气、加密货币、二维码、图表等。按使用量付费，采用x402微支付协议。\n\n## 🔄 版本控制\n\n与版本控制系统及仓库管理、问题跟踪、拉取请求等平台交互的服务器。\n\n- [alvnavraii\u002FMCPGithub](https:\u002F\u002Fgithub.com\u002Falvnavraii\u002FMCPGithub)：通过 MCP 集成，实现高效且安全的 GitHub 仓库管理，提供全面的仓库、分支和拉取请求操作工具。\n- [SLineroDev\u002Fgithub-releases-mcp](https:\u002F\u002Fgithub.com\u002FSLineroDev\u002Fgithub-releases-mcp)：管理和分析 GitHub 仓库的发布版本，提供详细的对比和丰富的格式化功能。\n- [Ryan0204\u002Fgithub-repo-mcp](https:\u002F\u002Fgithub.com\u002FRyan0204\u002Fgithub-repo-mcp)：帮助 AI 助手浏览、探索和查看 GitHub 仓库的内容。\n- [Svtter\u002Fgit-mcp](https:\u002F\u002Fgithub.com\u002FSvtter\u002Fgit-mcp)：通过 MCP 服务处理 Git 命令，利用 FastMCP 实现高效的仓库管理。\n- [ukiuni\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002Fukiuni\u002Fmcp-git)：通过 MCP 服务器执行 Git 命令，实现与各类 MCP 客户端的无缝集成。\n- [MrOrz\u002Fmcp-git-commit-aider](https:\u002F\u002Fgithub.com\u002FMrOrz\u002Fmcp-git-commit-aider)：通过在提交信息中添加“(aider)”来追踪代码库中的 AI 贡献，从而促进 AI 驱动的 Git 提交。\n- [SiddheshDongare\u002FGIT-Pilot](https:\u002F\u002Fgithub.com\u002FSiddheshDongare\u002FGIT-Pilot)：基于 FastMCP 的服务器简化了 GitHub 管理，为仓库、拉取请求和问题操作提供安全高效的自动化支持。\n- [0010aor\u002Fmcp-pr-pilot](https:\u002F\u002Fgithub.com\u002F0010aor\u002Fmcp-pr-pilot)：根据代码变更使用 LLM 生成拉取请求描述、提交信息和代码评审，从而优化拉取请求工作流。\n- [4workspace\u002FCursor-MCP-test](https:\u002F\u002Fgithub.com\u002F4workspace\u002FCursor-MCP-test)：通过模型控制协议在 Cursor IDE 中实现 GitHub 集成，以简化仓库管理。\n- [marcusdb\u002Fgithub-mcp-server-ts](https:\u002F\u002Fgithub.com\u002Fmarcusdb\u002Fgithub-mcp-server-ts)：增强 GitHub API 交互，提供高级文件操作、仓库管理和搜索功能。\n- [jesulim\u002Fnew](https:\u002F\u002Fgithub.com\u002Fjesulim\u002Fnew)：促进 GitHub API 用于文件操作、仓库管理和高级搜索功能的交互。\n- [BirajMainali\u002Fgit-committer-mcp-server](https:\u002F\u002Fgithub.com\u002FBirajMainali\u002Fgit-committer-mcp-server)：通过分析 Git 变更自动生成并暂存提交信息。\n- [Adit-999\u002Fgitlab-mcp](https:\u002F\u002Fgithub.com\u002FAdit-999\u002Fgitlab-mcp)：促进 AI 驱动的 GitLab 交互，支持同步和异步执行方式，实现对仓库、问题和合并请求的操作。\n- [aniketsingh98571\u002Fgithub-mcp](https:\u002F\u002Fgithub.com\u002Faniketsingh98571\u002Fgithub-mcp)：通过模型控制协议接口与 GitHub API 无缝交互，实现高效的仓库管理和用户信息获取。\n- [musthafa-mohammed\u002Fmvn-repo-mcp](https:\u002F\u002Fgithub.com\u002Fmusthafa-mohammed\u002Fmvn-repo-mcp)：使 AI 驱动的 IDE 能够与 Maven Central 交互，进行包搜索、版本列表展示和漏洞检查。\n- [stephanj\u002FGitHubMCP](https:\u002F\u002Fgithub.com\u002Fstephanj\u002FGitHubMCP)：通过模型上下文协议服务器，促进 LLM 代理与 GitHub 资源的交互。\n- [daoch4n\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002Fdaoch4n\u002Fmcp-git)：基于 TypeScript 的 MCP 服务器，通过管理带有 URI 和元数据的文本笔记来促进 Git 操作，提供笔记创建和摘要提示工具。\n- [ravi-accolite\u002Fmcpserver](https:\u002F\u002Fgithub.com\u002Fravi-accolite\u002Fmcpserver)：促进 LLM 应用程序与 GitHub、GitLab 等版本控制系统之间的无缝集成，提升自动化和管理能力。\n- [Foxhunt\u002Fgitlab-mcp-server](https:\u002F\u002Fgithub.com\u002FFoxhunt\u002Fgitlab-mcp-server)：基于 TypeScript 的服务器，用于管理和交互 GitLab 数据，包括项目、问题和维基页面。\n- [Ghraven\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002FGhraven\u002Fgithub-mcp-server)：为开发者和工具提供先进的自动化能力和与 GitHub API 的交互支持。\n- [axlwolf\u002Fgithub-mcp](https:\u002F\u002Fgithub.com\u002Faxlwolf\u002Fgithub-mcp)：促进 GitHub API 用于文件操作、仓库管理和高级搜索功能的交互。\n- [ZephyrDeng\u002Fmcp-server-gitlab](https:\u002F\u002Fgithub.com\u002FZephyrDeng\u002Fmcp-server-gitlab)：将 GitLab RESTful API 工具与 Claude 和 Smithery 等平台集成，实现无缝的项目管理和协作。\n- [rose201107059\u002Fremote-mcp-github-oauth](https:\u002F\u002Fgithub.com\u002Frose201107059\u002Fremote-mcp-github-oauth)：集成了 GitHub OAuth 的远程 MCP 服务器，可部署在 Cloudflare 上，为连接的客户端提供安全的用户认证和工具访问。\n- [goern\u002Fforgejo-mcp](https:\u002F\u002Fgithub.com\u002Fgoern\u002Fforgejo-mcp)：促进与 Forgejo REST API 的交互，增强 Codeberg 上的问题管理和仓库操作。\n- [ces-hongvo\u002Fgithub-mcp-client](https:\u002F\u002Fgithub.com\u002Fces-hongvo\u002Fgithub-mcp-client)：演示了 Spring AI 与 MCP 服务器的集成，用于在 Spring Boot 应用程序中执行工具和聊天功能。\n- [Aeron-cell\u002Fgit-mcp-options](https:\u002F\u002Fgithub.com\u002FAeron-cell\u002Fgit-mcp-options)：通过为 AI 助手提供标准化接口来增强 Git 操作，并与 MCP 生态系统无缝对接。\n- [kich555\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002Fkich555\u002Fgithub-mcp-server)：促进 GitHub API 用于文件操作、仓库管理和高级搜索功能的交互。\n- [KarakuriAgent\u002Fkarakuri_git_mcp](https:\u002F\u002Fgithub.com\u002FKarakuriAgent\u002Fkarakuri_git_mcp)：通过模型上下文协议服务器促进 Git 仓库的交互和自动化，允许大型语言模型执行读取、搜索和操作仓库等任务。\n- [kwanLeeFrmVi\u002Fmcp-git](https:\u002F\u002Fgithub.com\u002FkwanLeeFrmVi\u002Fmcp-git)：通过模型上下文协议服务器促进 Git 仓库的交互和自动化，使大型语言模型能够执行读取、搜索和操作仓库等任务。\n- [rahul-roy-glean\u002Fgithub-mcp-server](https:\u002F\u002Fgithub.com\u002Frahul-roy-glean\u002Fgithub-mcp-server)：促进与 GitHub API 的无缝集成，支持 CI 流程中的文件操作、仓库管理和搜索功能。","# awesome-mcp-servers 快速上手指南\n\n`awesome-mcp-servers` 是一个社区维护的精选列表，汇集了基于 **Model Context Protocol (MCP)** 的服务器资源。MCP 是一种开放标准，允许 AI 模型安全地连接外部工具、API、数据库和文件系统。本指南将帮助你快速了解如何利用该列表中的资源扩展 AI 能力。\n\n## 环境准备\n\n在开始之前，请确保你的开发环境满足以下要求：\n\n*   **操作系统**：Linux, macOS 或 Windows (WSL2 推荐)。\n*   **Node.js**：版本 >= 18.x (用于运行基于 npm\u002Fnpx 的 MCP 服务器)。\n    *   国内用户建议使用 [cnpm](https:\u002F\u002Fnpmmirror.com\u002F) 或配置淘宝镜像源加速安装。\n*   **AI 客户端**：支持 MCP 协议的客户端，例如：\n    *   Claude Desktop (官方客户端)\n    *   Cursor IDE (推荐，内置 MCP 支持)\n    *   Windsurf\n*   **Git**：用于克隆仓库或查看源码。\n\n## 安装步骤\n\n本项目本身是一个资源列表（Awesome List），无需安装“主程序”。你需要做的是**获取列表**并**部署其中具体的 MCP 服务器**。\n\n### 1. 获取资源列表\n你可以直接浏览 GitHub 仓库，或克隆到本地以便搜索：\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers.git\ncd awesome-mcp-servers\n```\n\n### 2. 部署具体的 MCP 服务器\n从列表中选择一个你需要的服务器（例如 `ToolRouter` 或 `weather-mcp`），按照其提供的安装方式配置到你的 AI 客户端中。\n\n大多数现代 MCP 服务器支持通过 `npx` 直接运行，无需手动下载源码。以 **Cursor IDE** 为例，配置步骤如下：\n\n1.  打开 Cursor 设置 (`Settings` > `Features` > `MCP`)。\n2.  点击 `Add New MCP Server`。\n3.  输入服务器名称和启动命令（参考下方“基本使用”中的示例）。\n\n> **提示**：如果原文提供了 Docker 镜像或二进制文件，也可选择对应的安装方式。国内网络环境下，若 `npx` 拉取缓慢，可尝试配置 `NPM_CONFIG_REGISTRY=https:\u002F\u002Fregistry.npmmirror.com`。\n\n## 基本使用\n\nMCP 的核心在于让 AI 能够调用外部工具。以下演示如何在支持 MCP 的客户端（如 Cursor 或 Claude Desktop）中配置并使用一个天气查询服务器。\n\n### 示例：配置 OpenWeather MCP 服务器\n\n假设我们使用列表中的 [`frostming\u002Fopenweather-mcp`](https:\u002F\u002Fgithub.com\u002Ffrostming\u002Fopenweather-mcp) 来获取实时天气。\n\n#### 1. 获取 API Key\n前往 [OpenWeather.org](https:\u002F\u002Fopenweather.org) 注册并获取免费的 API Key。\n\n#### 2. 配置客户端\n在你的 AI 客户端配置文件（通常是 `mcp.json` 或图形界面配置项）中添加以下内容：\n\n**JSON 配置示例：**\n```json\n{\n  \"mcpServers\": {\n    \"weather\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"openweather-mcp\"],\n      \"env\": {\n        \"OPENWEATHER_API_KEY\": \"你的_API_KEY_在此\"\n      }\n    }\n  }\n}\n```\n\n*注：如果是 Cursor，可直接在图形界面填入 Command: `npx`, Args: `-y openweather-mcp`, Env: `OPENWEATHER_API_KEY=xxx`。*\n\n#### 3. 验证与使用\n重启客户端后，MCP 服务器即已连接。你可以在对话框中直接使用自然语言提问：\n\n> **用户输入**：\n> \"帮我查一下北京今天的天气情况，并建议适合穿什么衣服。\"\n\n> **AI 响应**：\n> (AI 将自动调用配置的 `weather` 工具获取实时数据，并结合数据给出穿衣建议)\n\n### 探索更多工具\n访问 `awesome-mcp-servers` 仓库的 README，根据分类查找更多工具：\n*   **🗄️ Databases**: 连接 PostgreSQL, Redis 等。\n*   **🌐 Browser Automation**: 让 AI 操作浏览器进行抓取或测试。\n*   **💻 Code Execution**: 在沙箱中安全执行代码。\n*   **📝 Content Management**: 集成 Notion, WordPress 等。\n\n只需复制对应项目的启动命令，替换配置中的 `command` 和 `args` 即可快速集成。","某全栈开发团队正致力于构建一个能自动监控云资源、分析数据库日志并生成修复代码的智能运维助手。\n\n### 没有 awesome-mcp-servers 时\n- **连接标准混乱**：团队需为 AWS、PostgreSQL 和本地文件系统分别编写独立的适配脚本，接口定义不统一，维护成本极高。\n- **生态发现困难**：开发者难以快速找到现成的社区工具，往往重复造轮子去实现基础的浏览器自动化或代码分析功能。\n- **集成周期漫长**：将大模型与外部工具安全对接需要数周时间调试权限和协议，导致智能助手的落地进度严重滞后。\n- **扩展性受限**：每新增一个数据源（如 Slack 通知或 Jira 工单），都需要重构底层连接逻辑，系统架构日益臃肿。\n\n### 使用 awesome-mcp-servers 后\n- **统一接入标准**：直接复用列表中符合 MCP 标准的服务器，像插拔 USB-C 设备一样，让 AI 模型无缝连接各类数据库和云平台。\n- **海量资源即用**：从涵盖 7000+ 服务器的分类清单中，迅速定位并部署所需的代码质量分析或云监控组件，无需从零开发。\n- **开发效率倍增**：基于成熟的协议规范，团队在几天内就完成了多工具链的整合，大幅缩短了从原型到生产环境的周期。\n- **灵活动态扩展**：新增监控维度时，只需引入对应的 MCP 服务器配置，原有架构无需改动，系统具备极强的弹性。\n\nawesome-mcp-servers 通过提供标准化的“万能接口”库，彻底打破了 AI 模型与现实世界工具之间的壁垒，让智能应用的构建变得像搭积木一样简单高效。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FTensorBlock_awesome-mcp-servers_48889267.png","TensorBlock","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FTensorBlock_59cdcfbb.jpg","AI for All. Accessible. Open. Fair.",null,"contact@tensorblock.co","tensorblock_aoi","https:\u002F\u002Ftensorblock.co\u002F","https:\u002F\u002Fgithub.com\u002FTensorBlock",600,243,"2026-04-04T13:55:17","MIT","","未说明",{"notes":91,"python":89,"dependencies":92},"awesome-mcp-servers 本身是一个社区维护的 MCP 服务器列表（目录），而非单一的可执行软件或模型，因此没有统一的运行环境、GPU 或内存需求。具体的环境要求取决于列表中用户选择安装的各个独立 MCP 服务器项目（例如某些服务器可能需要 Node.js，某些需要 Python，某些需要 Docker）。部分示例命令使用了 `npx`，暗示许多服务器可能基于 Node.js 环境运行。",[],[15,45],[95,96,97,98,99,100,101,102],"anthropic","awesome","genai","mcp","mcp-server","mcp-server-discovery","mcp-servers","model-context-protocol","2026-03-27T02:49:30.150509","2026-04-06T11:31:15.673267",[106,111,116,121,126,131,136],{"id":107,"question_zh":108,"answer_zh":109,"source_url":110},16517,"我想向列表中添加一个新的 MCP Server，应该怎么做？","欢迎社区贡献！您可以直接创建一个 Pull Request (PR) 来添加该服务器。请遵循 README 中现有的格式，并将其放置在合适的分类下。维护者会尽快审查并合并您的 PR。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F221",{"id":112,"question_zh":113,"answer_zh":114,"source_url":115},16518,"我发现列表中某个 MCP Server 的仓库链接失效或无法访问，该如何处理？","如果您发现某个仓库无法访问（例如变为私有或被误删），请在 Issue 中报告。维护者会重新检查该链接，如果确认是误删或暂时性问题，他们会将其恢复或更新链接。感谢您的反馈。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F38",{"id":117,"question_zh":118,"answer_zh":119,"source_url":120},16519,"如何配置 BGPT MCP API 以搜索科学论文？","BGPT MCP API 使用远程 SSE 传输。您可以在配置文件中添加以下 JSON 配置：\n{\n  \"mcpServers\": {\n    \"bgpt\": {\n      \"url\": \"https:\u002F\u002Fbgpt.pro\u002Fmcp\u002Fsse\"\n    }\n  }\n}\n该服务提供 50 次免费搜索，之后按 $0.01\u002F结果收费。支持通过关键词搜索并按近期程度过滤。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F73",{"id":122,"question_zh":123,"answer_zh":124,"source_url":125},16520,"Roundtable MCP Server 有什么主要功能，如何安装？","Roundtable 是一个零配置的 MCP 服务器，旨在统一多个 AI 编码助手（如 Claude Code, Cursor, Codex, Gemini）。它能自动发现并连接可用的 AI 助手，提供标准化的接口以实现多 AI 协作。\n安装方法：使用 pip 安装，命令为 `pip install roundtable-ai`。它属于\"AI & LLM Integration\"类别。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F45",{"id":127,"question_zh":128,"answer_zh":129,"source_url":130},16521,"Kultur.dev MCP Server 提供哪些独特的多模态文化分析功能？","Kultur.dev 是唯一提供多模态文化智能分析的 MCP 服务器。除了文本分析外，它还能：\n1. 分析图像中的文化敏感手势、符号、颜色和视觉元素。\n2. 逐帧分析视频内容，并提供带时间戳的文化风险报告。\n它包含 9 个工具，涵盖分析、重写、生成和文化查询等功能，支持 200+ 市场。可通过 `npx @kultur-dev\u002Fmcp-server` 或 `pip install kultur-mcp` 安装。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F292",{"id":132,"question_zh":133,"answer_zh":134,"source_url":135},16522,"Safari MCP 在 macOS 上有什么优势，如何获取？","Safari MCP 是专为 macOS 设计的原生 Safari 浏览器自动化工具。其优势包括：通过 AppleScript 提供 80 种工具，零 Chrome 开销，保持登录状态，并可静默运行。它是 Apple Silicon 上 Puppeteer\u002FPlaywright 的替代方案。\n可以通过 npm 安装：`npm install safari-mcp` (当前版本 v2.1.4)，归类于\"Browser Automation\"。","https:\u002F\u002Fgithub.com\u002FTensorBlock\u002Fawesome-mcp-servers\u002Fissues\u002F258",{"id":137,"question_zh":138,"answer_zh":139,"source_url":110},16523,"Rendoc MCP Server 用于什么场景，基本配置是怎样的？","Rendoc 用于通过 MCP 从 HTML 模板和数据生成 PDF 文档。它提供生成文档、列出\u002F预览\u002F创建\u002F删除模板等工具。\n基本配置如下（需设置环境变量 RENDOC_API_KEY）：\n{\n  \"mcpServers\": {\n    \"rendoc\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@rendoc\u002Fmcp-server\"],\n      \"env\": { \"RENDOC_API_KEY\": \"your-api-key\" }\n    }\n  }\n}",[]]