[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-YuzeHao2023--Awesome-MCP-Servers":3,"tool-YuzeHao2023--Awesome-MCP-Servers":61},[4,18,26,36,44,53],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},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,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},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",151314,2,"2026-04-11T23:32:58",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":32,"last_commit_at":42,"category_tags":43,"status":17},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。",108322,"2026-04-10T11:39:34",[14,15,13],{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":32,"last_commit_at":50,"category_tags":51,"status":17},6121,"gemini-cli","google-gemini\u002Fgemini-cli","gemini-cli 是一款由谷歌推出的开源 AI 命令行工具，它将强大的 Gemini 大模型能力直接集成到用户的终端环境中。对于习惯在命令行工作的开发者而言，它提供了一条从输入提示词到获取模型响应的最短路径，无需切换窗口即可享受智能辅助。\n\n这款工具主要解决了开发过程中频繁上下文切换的痛点，让用户能在熟悉的终端界面内直接完成代码理解、生成、调试以及自动化运维任务。无论是查询大型代码库、根据草图生成应用，还是执行复杂的 Git 操作，gemini-cli 都能通过自然语言指令高效处理。\n\n它特别适合广大软件工程师、DevOps 人员及技术研究人员使用。其核心亮点包括支持高达 100 万 token 的超长上下文窗口，具备出色的逻辑推理能力；内置 Google 搜索、文件操作及 Shell 命令执行等实用工具；更独特的是，它支持 MCP（模型上下文协议），允许用户灵活扩展自定义集成，连接如图像生成等外部能力。此外，个人谷歌账号即可享受免费的额度支持，且项目基于 Apache 2.0 协议完全开源，是提升终端工作效率的理想助手。",100752,"2026-04-10T01:20:03",[52,13,15,14],"插件",{"id":54,"name":55,"github_repo":56,"description_zh":57,"stars":58,"difficulty_score":32,"last_commit_at":59,"category_tags":60,"status":17},4721,"markitdown","microsoft\u002Fmarkitdown","MarkItDown 是一款由微软 AutoGen 团队打造的轻量级 Python 工具，专为将各类文件高效转换为 Markdown 格式而设计。它支持 PDF、Word、Excel、PPT、图片（含 OCR）、音频（含语音转录）、HTML 乃至 YouTube 链接等多种格式的解析，能够精准提取文档中的标题、列表、表格和链接等关键结构信息。\n\n在人工智能应用日益普及的今天，大语言模型（LLM）虽擅长处理文本，却难以直接读取复杂的二进制办公文档。MarkItDown 恰好解决了这一痛点，它将非结构化或半结构化的文件转化为模型“原生理解”且 Token 效率极高的 Markdown 格式，成为连接本地文件与 AI 分析 pipeline 的理想桥梁。此外，它还提供了 MCP（模型上下文协议）服务器，可无缝集成到 Claude Desktop 等 LLM 应用中。\n\n这款工具特别适合开发者、数据科学家及 AI 研究人员使用，尤其是那些需要构建文档检索增强生成（RAG）系统、进行批量文本分析或希望让 AI 助手直接“阅读”本地文件的用户。虽然生成的内容也具备一定可读性，但其核心优势在于为机器",93400,"2026-04-06T19:52:38",[52,14],{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":67,"readme_en":68,"readme_zh":69,"quickstart_zh":70,"use_case_zh":71,"hero_image_url":72,"owner_login":73,"owner_name":74,"owner_avatar_url":75,"owner_bio":76,"owner_company":77,"owner_location":78,"owner_email":77,"owner_twitter":77,"owner_website":77,"owner_url":79,"languages":77,"stars":80,"forks":81,"last_commit_at":82,"license":83,"difficulty_score":32,"env_os":84,"env_gpu":85,"env_ram":85,"env_deps":86,"category_tags":89,"github_topics":90,"view_count":32,"oss_zip_url":77,"oss_zip_packed_at":77,"status":17,"created_at":96,"updated_at":97,"faqs":98,"releases":99},6851,"YuzeHao2023\u002FAwesome-MCP-Servers","Awesome-MCP-Servers","A curated list of Model Context Protocol (MCP) servers ","Awesome-MCP-Servers 是一个精心整理的开源资源列表，专注于收录基于模型上下文协议（MCP）的服务器、工具框架及实用程序。MCP 作为一种开放协议，旨在让 AI 模型能够安全、标准化地连接本地文件、数据库、API 接口及远程资源，从而突破大模型仅能对话的局限，赋予其实际操作外部系统的能力。\n\n该项目主要解决了 AI 应用在与现实世界数据交互时面临的连接标准不统一、实现分散以及安全性难以保障等痛点。通过汇聚社区力量，它提供了一个分类清晰（涵盖文件系统、版本控制、云存储、自动化工作流等二十余个领域）的“导航站”，帮助用户快速找到生产级或实验性的 MCP 服务端实现。此外，项目还特别提供了包含约 6000 条记录的全量爬虫数据列表，并附带详细的安全警示与最佳实践指南，提醒用户在隔离环境中运行以防范风险。\n\nAwesome-MCP-Servers 非常适合 AI 开发者、系统架构师及技术研究人员使用。无论是希望为 Claude Desktop、Cursor、VS Code 等客户端扩展功能的工程师，还是探索 AI Agent 落地场景的研究者，都能在此找到所需的集成方案与技术参","Awesome-MCP-Servers 是一个精心整理的开源资源列表，专注于收录基于模型上下文协议（MCP）的服务器、工具框架及实用程序。MCP 作为一种开放协议，旨在让 AI 模型能够安全、标准化地连接本地文件、数据库、API 接口及远程资源，从而突破大模型仅能对话的局限，赋予其实际操作外部系统的能力。\n\n该项目主要解决了 AI 应用在与现实世界数据交互时面临的连接标准不统一、实现分散以及安全性难以保障等痛点。通过汇聚社区力量，它提供了一个分类清晰（涵盖文件系统、版本控制、云存储、自动化工作流等二十余个领域）的“导航站”，帮助用户快速找到生产级或实验性的 MCP 服务端实现。此外，项目还特别提供了包含约 6000 条记录的全量爬虫数据列表，并附带详细的安全警示与最佳实践指南，提醒用户在隔离环境中运行以防范风险。\n\nAwesome-MCP-Servers 非常适合 AI 开发者、系统架构师及技术研究人员使用。无论是希望为 Claude Desktop、Cursor、VS Code 等客户端扩展功能的工程师，还是探索 AI Agent 落地场景的研究者，都能在此找到所需的集成方案与技术参考，高效构建具备“手脚”能力的智能应用。","![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FYuzeHao2023_Awesome-MCP-Servers_readme_3cdf3dce326d.png)\n\n# Awesome MCP Servers ![Awesome](https:\u002F\u002Fcdn.rawgit.com\u002Fsindresorhus\u002Fawesome\u002Fd7305f38d29fed78fa85652e3a63e154dd8e8829\u002Fmedia\u002Fbadge.svg)   \n\n[![Powered by DartNode](https:\u002F\u002Fdartnode.com\u002Fbranding\u002FDN-Open-Source-sm.png)](https:\u002F\u002Fdartnode.com \"Powered by DartNode - Free VPS for Open Source\")\n\nA curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.\n\n---\n\nBTW, we provide a [full list of MCP (Master Control Program) Servers](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FFull-List-of-MCP-Servers.xlsx), which is compiled by a web crawler and contains approximately 6000 entries.\n\n---\n\n## All Documents\n> Call for translators! [We're looking for translators](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fissues\u002F1) to help translate this spec for everyone!\n\n**Read our documentation in the following languages:**\n\n| Language | Link                                                                 |\n|----------|---------------------------------------------------------------------|\n| English  | [English](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers?tab=readme-ov-file) |\n| 简体中文  | [简体中文](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_zh_CN.md) |\n| 繁體中文  | [繁體中文](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_zh_TW.md) |\n| 日本語    | [日本語](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_ja.md) |\n| 한국어    | [한국어](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_ko.md) |\n\n---\n\n## What is MCP?\n\n[MCP](https:\u002F\u002Fmodelcontextprotocol.io\u002F) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access,  database connections, API integrations, and other contextual services.\n\n---\n\n# Contents\n\n## Tutorials\n\n* [Model Context Protocol (MCP) Quickstart](https:\u002F\u002Fglama.ai\u002Fblog\u002F2024-11-25-model-context-protocol-quickstart)\n* [Setup Claude Desktop App to Use a SQLite Database](https:\u002F\u002Fyoutu.be\u002FwxCCzo9dGj0)\n\n## Community\n\n* [r\u002Fmcp Reddit](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fmcp)\n* [Discord Server](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fdiscord)\n\n---\n\n## ⚠️ Security Warning\n\nWhen running MCP servers without proper sandboxing, they can execute arbitrary code on your system with the same permissions as the host process. This creates significant security risks.\n\nWarning summary:\n- System Access: Full access to files, network, and system resources\n- Code Execution: Can run commands on your machine\n- Prompt Injection: Malicious prompts could trigger unintended server actions\n- Data Exposure: Sensitive data may be accessed or leaked\n\nBest practices:\n- Use official implementations (marked with ⭐) when available\n- Run servers in VMs or isolated containers\n- Review code and configuration before installation\n- Limit permissions to the minimum required\n- Monitor server activity and logs\n\n---\n\n## Examples of Supported Clients\n\nMany MCP clients and UIs can connect to servers listed here. Examples include (but are not limited to):\n- Claude Desktop \u002F Claude clients\n- Zed\n- Sourcegraph Cody\n- Cursor\n- Visual Studio Code\n- LibreChat\n- Various CLI and browser-based clients\n\n(Icons and links for specific clients are commonly shown on the individual server\u002Fproject pages.)\n\n---\n\n## Server Implementations (Categories)\n\n- 📂 File Systems\n- 📦 Sandbox & Virtualization\n- 🔄 Version Control\n- ☁️ Cloud Storage\n- 🗄️ Databases\n- 💬 Communication\n- 📈 Monitoring\n- 🔍 Search & Web\n- 🗺️ Location Services\n- 🎯 Marketing\n- 📝 Note Taking\n- ⚡ Cloud Platforms\n- ⚙️ Workflow Automation\n- 🤖 System Automation\n- 📱 Social Media\n- 🎮 Gaming\n- 💹 Finance\n- 🧬 Research & Data\n- 🤝 AI Services\n- 💻 Development Tools\n- 📊 Data Visualization\n- 🆔 Identity\n- 🔗 Aggregators\n- 💬 Language & Translation\n- 🔒 Security\n- 🔌 IoT\n- 🧑‍🎨 Art & Literature\n- 🛒 E-Commerce\n- 📦 Data Platforms\n- 🤖 Robotics & Physical AI\n\nLegend:\n- ⭐ Official protocol implementation\n- 1,2,3,... Implementation ordering when multiple exist\n\n---\n\n# Reference Servers\n\nThese are example\u002Freference servers and core SDK examples demonstrating MCP features.\n\n- Everything (Reference \u002F test server with prompts, resources, and tools)\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Fblob\u002Fmain\u002Fsrc\u002Feverything\n- Fetch\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffetch\n- Filesystem\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffilesystem\n- Git\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgit\n- Memory\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fmemory\n- Sequential Thinking\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsequentialthinking\n- Time\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Fblob\u002Fmain\u002Fsrc\u002Ftime\n\n---\n\n\n# Official Servers\n\nOfficial integrations are maintained by companies building production-ready MCP servers for their platforms. (Marked with ⭐ when present)\n\n- 1mcpserver — https:\u002F\u002Fgithub.com\u002Fparticlefuture\u002F1mcpserver\n- 21st.dev Magic — https:\u002F\u002Fgithub.com\u002F21st-dev\u002Fmagic-mcp\n- 4everland\u002F4everland-hosting-mcp — https:\u002F\u002Fgithub.com\u002F4everland\u002F4everland-hosting-mcp\n- Adfin — https:\u002F\u002Fgithub.com\u002FAdfin-Engineering\u002Fmcp-server-adfin\n- Agent Mindshare — https:\u002F\u002Fagentmindshare.com\n- AgentQL — https:\u002F\u002Fgithub.com\u002Ftinyfish-io\u002Fagentql-mcp\n- AgentRPC — https:\u002F\u002Fgithub.com\u002Fagentrpc\u002Fagentrpc\n- Aiven — https:\u002F\u002Fgithub.com\u002FAiven-Open\u002Fmcp-aiven\n- AlibabaCloud DevOps MCP — https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-devops-mcp-server\n- Apify Actors — https:\u002F\u002Fgithub.com\u002Fapify\u002Factors-mcp-server\n- Box — https:\u002F\u002Fgithub.com\u002Fbox-community\u002Fmcp-server-box (⭐)\n- Cloudflare — https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare (⭐)\n- GitHub — https:\u002F\u002Fgithub.com\u002Fgithub\u002Fgithub-mcp-server (official)\n- Notion — https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Fnotion-mcp (official)\n- Stripe — https:\u002F\u002Fgithub.com\u002Fstripe\u002Fagent-toolkit\u002Ftree\u002Fmain (⭐)\n- PayPal — https:\u002F\u002Fgithub.com\u002Fpaypal\u002Fagent-toolkit\u002Ftree\u002Fmain (⭐)\n- Tinybird — https:\u002F\u002Fgithub.com\u002Ftinybirdco\u002Fmcp-tinybird (⭐)\n- Cloud-run, AWS, Azure, Google offerings — various official MCP servers in the awslabs and Google repos under modelcontextprotocol.\n\n(For a full list of official servers and vendor-maintained implementations, see the \"Official Servers\" and \"Reference Servers\" in this document and the linked repos.)\n\n---\n\n# Tools & Utilities\n\nHelpful utilities to discover, install, manage, and work with MCP servers.\n\nServer Managers:\n- mcp-get — CLI tool to install and manage MCP servers (Claude Desktop oriented) — https:\u002F\u002Fgithub.com\u002Fmichaellatman\u002Fmcp-get\n- mxcp — An open-source framework for building secure enterprise MCP tools — http:\u002F\u002Fgithub.com\u002Fraw-labs\u002Fmxcp\n- Remote MCP — Solution for remote MCP communication — https:\u002F\u002Fgithub.com\u002Fssut\u002FRemote-MCP\n- yamcp — Model Context Workspace Manager — https:\u002F\u002Fgithub.com\u002Fhamidra\u002Fyamcp\n- ToolHive — Lightweight utility to simplify deployment & management — https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Ftoolhive\n- MCP Installer — https:\u002F\u002Fgithub.com\u002Fanaisbetts\u002Fmcp-installer\n\nOther utilities:\n- Secure Fetch — secure fetch to prevent access to local resources — https:\u002F\u002Fgithub.com\u002Fappsec-innovation-labs\u002Fsecure-mcp-fetch\n- mcp-cli — CLI inspector for MCP servers — https:\u002F\u002Fgithub.com\u002Fwong2\u002Fmcp-cli\n- mcp-get, mcp-installer, and similar utilities to simplify installation and discovery.\n\n---\n\n## Category: File Systems (📂)\n\nProvides access to local or remote file systems with configurable permissions.\n\n- Backup — https:\u002F\u002Fgithub.com\u002Fhexitex\u002FMCP-Backup-Server\n- FileStash — https:\u002F\u002Fgithub.com\u002Fmickael-kerjean\u002Ffilestash\u002Ftree\u002Fmaster\u002Fserver\u002Fplugin\u002Fplg_handler_mcp\n- FileSystem (modelcontextprotocol reference) — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffilesystem (1)\n- FileSystem (mark3labs) — https:\u002F\u002Fgithub.com\u002Fmark3labs\u002Fmcp-filesystem-server (2)\n- Everything Search — https:\u002F\u002Fgithub.com\u002Fmamertofabian\u002Fmcp-everything-search\n- fast-filesystem-mcp — https:\u002F\u002Fgithub.com\u002Fefforthye\u002Ffast-filesystem-mcp\n- llm-context — https:\u002F\u002Fgithub.com\u002Fcyberchitta\u002Fllm-context.py\n\n---\n\n## Category: Sandbox & Virtualization (📦)\n\nSecure sandbox environments for code execution.\n\n- Microsandbox (⭐) — https:\u002F\u002Fgithub.com\u002Fmicrosandbox\u002Fmicrosandbox\n- E2B (⭐) — https:\u002F\u002Fgithub.com\u002Fe2b-dev\u002Fmcp-server\n- Docker (QuantGeekDev) — https:\u002F\u002Fgithub.com\u002FQuantGeekDev\u002Fdocker-mcp\n\n---\n\n## Category: Version Control (🔄)\n\nGit and version control related MCP servers.\n\n- GitHub (1) — https:\u002F\u002Fgithub.com\u002Fgithub\u002Fgithub-mcp-server (official)\n- GitHub Repos Manager — https:\u002F\u002Fgithub.com\u002Fkurdin\u002Fgithub-repos-manager-mcp\n- GitLab — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgitlab\n- Git (direct) — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgit\n- Phabricator — https:\u002F\u002Fgithub.com\u002Fbaba786\u002Fphabricator-mcp-server\n- Gitingest-MCP — https:\u002F\u002Fgithub.com\u002Fpuravparab\u002FGitingest-MCP\n\n---\n\n## Category: Cloud Storage (☁️)\n\nAccess to cloud storage platforms.\n\n- Google Drive — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgdrive\n- Box (⭐) — https:\u002F\u002Fdeveloper.box.com\u002Fguides\u002Fbox-mcp\u002F\n- VideoDB (agent-toolkit) — https:\u002F\u002Fgithub.com\u002Fvideo-db\u002Fagent-toolkit\u002Ftree\u002Fmain\u002Fmodelcontextprotocol (⭐)\n- Microsoft 365 — https:\u002F\u002Fgithub.com\u002Fsofteria\u002Fms-365-mcp-server\n\n---\n\n## Category: Databases (🗄️)\n\nDatabase access with schema inspection and query capabilities.\n\n- PostgreSQL — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fpostgres\n- SQLite — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsqlite\n- DuckDB — https:\u002F\u002Fgithub.com\u002Fktanaka101\u002Fmcp-server-duckdb\n- Excel — https:\u002F\u002Fgithub.com\u002Fharis-musa\u002Fexcel-mcp-server\n- BigQuery — https:\u002F\u002Fgithub.com\u002FLucasHild\u002Fmcp-server-bigquery (1) & https:\u002F\u002Fgithub.com\u002Fergut\u002Fmcp-bigquery-server (2)\n- Neon (⭐) — https:\u002F\u002Fgithub.com\u002Fneondatabase\u002Fmcp-server-neon\n- Qdrant (⭐) — https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fmcp-server-qdrant\u002F\n- MongoDB — https:\u002F\u002Fgithub.com\u002Fkiliczsh\u002Fmcp-mongo-server\n- MongoDB Lens — https:\u002F\u002Fgithub.com\u002Ffurey\u002Fmongodb-lens\n- MySQL — https:\u002F\u002Fgithub.com\u002Fdesigncomputer\u002Fmysql_mcp_server\n- Airtable — https:\u002F\u002Fgithub.com\u002Fdomdomegg\u002Fairtable-mcp-server\n- Snowflake — https:\u002F\u002Fgithub.com\u002Fisaacwasserman\u002Fmcp-snowflake-server\n- DBUtils — https:\u002F\u002Fgithub.com\u002Fdonghao1393\u002Fmcp-dbutils\n- TiDB — https:\u002F\u002Fgithub.com\u002Fc4pt0r\u002Fmcp-server-tidb\n- NocoDB — https:\u002F\u002Fgithub.com\u002Fedwinbernadus\u002Fnocodb-mcp-server\n- Couchbase (⭐) — https:\u002F\u002Fgithub.com\u002FCouchbase-Ecosystem\u002Fmcp-server-couchbase\n- Redis (⭐) — https:\u002F\u002Fgithub.com\u002Fredis\u002Fmcp-redis\n- Many other DB-specific servers are listed in Community Servers.\n\n---\n\n## Category: Communication (💬)\n\nIntegration with chat and messaging platforms.\n\n- Slack — https:\u002F\u002Fgithub.com\u002Fkorotovsky\u002Fslack-mcp-server\n- LINE Official Account (⭐) — https:\u002F\u002Fgithub.com\u002Fline\u002Fline-bot-mcp-server\n- Linear — https:\u002F\u002Fgithub.com\u002Fjerhadf\u002Flinear-mcp-server\n- Atlassian — https:\u002F\u002Fgithub.com\u002Fsooperset\u002Fmcp-atlassian\n- Carbon Voice (⭐) — https:\u002F\u002Fgithub.com\u002FPhononX\u002Fcv-mcp-server\n- ntfy — https:\u002F\u002Fgithub.com\u002Fgitmotion\u002Fntfy-me-mcp\n\n---\n\n## Category: Monitoring (📈)\n\nAccess observability and monitoring systems.\n\n- Metoro — https:\u002F\u002Fgithub.com\u002Fmetoro-io\u002Fmetoro-mcp-server\n- Raygun — https:\u002F\u002Fgithub.com\u002FMindscapeHQ\u002Fmcp-server-raygun\n- Sentry — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsentry\n- sslmon — https:\u002F\u002Fgithub.com\u002Ffiresh\u002Fsslmon-mcp\n- Signoz — https:\u002F\u002Fgithub.com\u002FDrDroidLab\u002Fsignoz-mcp-server\n- VictoriaMetrics — https:\u002F\u002Fgithub.com\u002FVictoriaMetrics-Community\u002Fmcp-victoriametrics\n\n---\n\n## Category: Search & Web (🔍)\n\nWeb fetching, scraping, and search.\n\n- Puppeteer — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fpuppeteer\n- Brave Search — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fbrave-search\n- Bright Data — https:\u002F\u002Fgithub.com\u002Fluminati-io\u002Fbrightdata-mcp\n- Dumpling AI — https:\u002F\u002Fgithub.com\u002FDumpling-AI\u002Fmcp-server-dumplingai\n- Fetch — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffetch\n- Kagi Search — https:\u002F\u002Fgithub.com\u002Fac3xx\u002Fmcp-servers-kagi\n- Exa Search (⭐) — https:\u002F\u002Fgithub.com\u002Fexa-labs\u002Fexa-mcp-server\n- NYTimes — https:\u002F\u002Fgithub.com\u002Fangheljf\u002Fnyt\n- Google News — https:\u002F\u002Fgithub.com\u002FChanMeng666\u002Fserver-google-news\n- Scrapeless — https:\u002F\u002Fgithub.com\u002Fscrapeless-ai\u002Fscrapeless-mcp-server\n- Search1API — https:\u002F\u002Fgithub.com\u002Ffatwang2\u002Fsearch1api-mcp\n- RivalSearchMCP — https:\u002F\u002Fgithub.com\u002Fdamionrashford\u002FRivalSearchMCP\n- Tavily — https:\u002F\u002Fgithub.com\u002FTomatio13\u002Fmcp-server-tavily\n- ArXiv — https:\u002F\u002Fgithub.com\u002Fblazickjp\u002Farxiv-mcp-server\n- PapersWithCode — https:\u002F\u002Fgithub.com\u002Fhbg\u002Fmcp-paperswithcode\n- Playwright — https:\u002F\u002Fgithub.com\u002Fexecuteautomation\u002Fmcp-playwright\n- Websearch (SearXNG) — https:\u002F\u002Fgithub.com\u002Fmnhlt\u002FWebSearch-MCP and https:\u002F\u002Fgithub.com\u002Fihor-sokoliuk\u002Fmcp-searxng\n- Apify Actors & RAG Web Browser — https:\u002F\u002Fgithub.com\u002Fapify\u002Factors-mcp-server and https:\u002F\u002Fgithub.com\u002Fapify\u002Fmcp-server-rag-web-browser\n- Coupang MCP — https:\u002F\u002Fgithub.com\u002Fuju777\u002Fcoupang-mcp - Korean e-commerce search with Rocket Delivery filtering\n- Naver Search MCP — https:\u002F\u002Fgithub.com\u002Fuju777\u002Fmcp-server-naver-search - Naver Shopping, Cafe, News search for Korean users\n- Scrapeless and many web-scraping-focused MCP servers are listed in Community Servers.\n\n---\n\n## Category: Location Services (🗺️)\n\nMapping and geolocation.\n\n- Campertunity — https:\u002F\u002Fgithub.com\u002Fcampertunity\u002Fmcp-server\n- Google Maps — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle-maps\n- IPLocate — https:\u002F\u002Fgithub.com\u002Fiplocate\u002Fmcp-server-iplocate\n- IP2Location.io — https:\u002F\u002Fgithub.com\u002Fip2location\u002Fmcp-ip2location-io\n- QGIS — https:\u002F\u002Fgithub.com\u002Fjjsantos01\u002Fqgis_mcp\n\n---\n\n## Category: Marketing (🎯)\n\nMarketing and analytics tools.\n\n- Agent Mindshare — https:\u002F\u002Fagentmindshare.com\n- Open Strategy Partners Marketing Tools — https:\u002F\u002Fgithub.com\u002Fopen-strategy-partners\u002Fosp_mark\n- Fathom Analytics — https:\u002F\u002Fgithub.com\u002Fmackenly\u002Fmcp-fathom-analytics\n- Facebook Ads — https:\u002F\u002Fgithub.com\u002Fgomarble-ai\u002Ffacebook-ads-mcp-server\n- Google Ads — https:\u002F\u002Fgithub.com\u002Fgomarble-ai\u002Fgoogle-ads-mcp-server\n\n---\n\n## Category: Note Taking (📝)\n\nPersonal knowledge and notes integrations.\n\n- eBook-mcp — https:\u002F\u002Fgithub.com\u002Fonebirdrocks\u002Febook-mcp\n- Obsidian (1\u002F2) — https:\u002F\u002Fgithub.com\u002FMarkusPfundstein\u002Fmcp-obsidian and https:\u002F\u002Fgithub.com\u002Fcalclavia\u002Fmcp-obsidian\n- Notion (1\u002F2) — https:\u002F\u002Fgithub.com\u002Fdanhilse\u002Fnotion_mcp and https:\u002F\u002Fgithub.com\u002Fsuekou\u002Fmcp-notion-server\n- Apple Notes — https:\u002F\u002Fgithub.com\u002Fsirmews\u002Fapple-notes-mcp (macOS)\n- Slite — https:\u002F\u002Fgithub.com\u002Ffajarmf\u002Fslite-mcp\n- Todoist — https:\u002F\u002Fgithub.com\u002Fabhiz123\u002Ftodoist-mcp-server\n- Google Keep — https:\u002F\u002Fgithub.com\u002Ffeuerdev\u002Fkeep-mcp\n- OMEGA — https:\u002F\u002Fgithub.com\u002Fomega-memory\u002Fcore (Persistent memory for AI coding agents. #1 on LongMemEval benchmark (95.4%). 12 MCP tools with semantic search, auto-capture, and intelligent forgetting. Local-first, zero cloud dependency.)\n\n---\n\n## Category: Cloud Platforms (⚡)\n\nCloud vendors and orchestration.\n\n- Cloudflare (⭐) — https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare\n- Kubernetes (multiple implementations) — https:\u002F\u002Fgithub.com\u002Fstrowk\u002Fmcp-k8s-go (1), https:\u002F\u002Fgithub.com\u002Fweibaohui\u002Fk8m (2), https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Fmkp (3)\n- Tinybird (⭐) — https:\u002F\u002Fgithub.com\u002Ftinybirdco\u002Fmcp-tinybird\n- Google Cloud Run — https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fcloud-run-mcp\n- Render — https:\u002F\u002Frender.com\u002Fdocs\u002Fmcp-server\n\n---\n\n## Category: Workflow Automation (⚙️)\n\nAutomation platforms and workflow tools.\n\n- Make (⭐) — https:\u002F\u002Fgithub.com\u002Fintegromat\u002Fmake-mcp-server\n- Make (2) — https:\u002F\u002Fgithub.com\u002Fdanishashko\u002Fmake-mcp — Unofficial community fork with 200+ modules, auto-healing, and router support\n- Taskade (⭐) — https:\u002F\u002Fgithub.com\u002Ftaskade\u002Fmcp\n- Zapier — https:\u002F\u002Fzapier.com\u002Fmcp\n- Pipedream — https:\u002F\u002Fgithub.com\u002FPipedreamHQ\u002Fpipedream\u002Ftree\u002Fmaster\u002Fmodelcontextprotocol\n- Tool aggregators like Rube, Rube\u002FComposio and MCPJungle are listed in Aggregators.\n\n---\n\n## Category: System Automation (🤖)\n\nShell, OS, and task automation.\n\n- Shell (wcgw) — https:\u002F\u002Fgithub.com\u002Frusiaaman\u002Fwcgw\n- Windows CLI — https:\u002F\u002Fgithub.com\u002FSimonB97\u002Fwin-cli-mcp\n- Windows Control — https:\u002F\u002Fgithub.com\u002FCheffromspace\u002Fnutjs-windows-control\n- Command Line — https:\u002F\u002Fgithub.com\u002Fphialsbasement\u002Fcmd-mcp-server\n- Apple Shortcuts — https:\u002F\u002Fgithub.com\u002Frecursechat\u002Fmcp-server-apple-shortcuts\n\n---\n\n## Category: Social Media (📱)\n\nSocial platforms integration.\n\n- BlueSky — https:\u002F\u002Fgithub.com\u002Fketuriosakys\u002Fbluesky-context-server\n- YouTube — https:\u002F\u002Fgithub.com\u002Fanaisbetts\u002Fmcp-youtube and https:\u002F\u002Fgithub.com\u002Fkimtaeyoon83\u002Fmcp-server-youtube-transcript\n- Spotify — https:\u002F\u002Fgithub.com\u002Fvarunneal\u002Fspotify-mcp\n- TikTok — https:\u002F\u002Fgithub.com\u002FSeym0n\u002Ftiktok-mcp\n- Instagram DMs — https:\u002F\u002Fgithub.com\u002Ftrypeggy\u002Finstagram_dm_mcp\n- X\u002FTwitter — https:\u002F\u002Fgithub.com\u002Fmbelinky\u002Fx-mcp-server\n- Social Neuron (52 MCP tools for AI-powered social media content lifecycle — ideation, creation, distribution, analytics, and optimization with closed-loop learning) — https:\u002F\u002Fgithub.com\u002Fsocialneuron\u002Fmcp-server [npm: @socialneuron\u002Fmcp-server]\n\n---\n\n## Category: Gaming (🎮)\n\nGame engines and tooling.\n\n- Unity Engine (various) — https:\u002F\u002Fgithub.com\u002FIvanMurzak\u002FUnity-MCP, https:\u002F\u002Fgithub.com\u002FCoderGamester\u002Fmcp-unity, https:\u002F\u002Fgithub.com\u002Fcodemaestroai\u002Fadvanced-unity-mcp\n\n---\n\n## Category: Finance (💹)\n\nPayments, market data, and finance tools.\n\n- Omnis Venture Intelligence MCP — https:\u002F\u002Fgithub.com\u002FHCS412\u002Fventureautomated (remote venture intelligence for autonomous agents: startup discovery, company scoring, monitoring, and enterprise workspace automation) [glama](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fconnectors\u002Fio.github.HCS412\u002Fventureautomated-omnis)\n- AgentFund — https:\u002F\u002Fgithub.com\u002FRioBot-Grind\u002Fagentfund-mcp\n- Octagon (⭐) — https:\u002F\u002Fgithub.com\u002FOctagonAI\u002Foctagon-mcp-server\n- CoinMarket — https:\u002F\u002Fgithub.com\u002Fanjor\u002Fcoinmarket-mcp-server\n- Chargebee (⭐) — https:\u002F\u002Fgithub.com\u002Fchargebee\u002Fagentkit\u002Ftree\u002Fmain\u002Fmodelcontextprotocol\n- DexPaprika (⭐) — https:\u002F\u002Fgithub.com\u002Fdonbagger\u002Fdexpaprika-mcp-server\n- Mercado Pago — https:\u002F\u002Fmcp.mercadopago.com\u002F\n- PayPal (⭐) — https:\u002F\u002Fgithub.com\u002Fpaypal\u002Fagent-toolkit\n- Stripe (⭐) — https:\u002F\u002Fgithub.com\u002Fstripe\u002Fagent-toolkit\n- LongPort OpenAPI (⭐) — https:\u002F\u002Fgithub.com\u002Flongportapp\u002Fopenapi\u002Ftree\u002Fmain\u002Fmcp\n- x402engine-mcp (50+ pay-per-call APIs for AI agents via HTTP 402 micropayments) — https:\u002F\u002Fgithub.com\u002Fagentc22\u002Fx402engine-mcp\n- awesome-x402 (curated directory of x402 payment protocol MCP servers and tools) — https:\u002F\u002Fgithub.com\u002Fxpaysh\u002Fawesome-x402\n\n---\n\n## Category: Research & Data (🧬)\n\nPapers, datasets, and domain data.\n\n- ArXiv — https:\u002F\u002Fgithub.com\u002Fblazickjp\u002Farxiv-mcp-server\n- Ancestry — https:\u002F\u002Fgithub.com\u002Freeeeemo\u002Fancestry-mcp\n- Probe.dev — https:\u002F\u002Fmcp.probe.dev\n- OpenNutrition — https:\u002F\u002Fgithub.com\u002Fdeadletterq\u002Fmcp-opennutrition\n- Congress (legislative data) — https:\u002F\u002Fgithub.com\u002Famurshak\u002FcongressMCP\n\n---\n\n## Category: AI Services (🤝)\n\nAI model & ML service integrations.\n\n- Agentset AI — https:\u002F\u002Fgithub.com\u002Fagentset-ai\u002Fmcp-server\n- NeuroLink — https:\u002F\u002Fgithub.com\u002Fjuspay\u002Fneurolink\n- OpenAI — https:\u002F\u002Fgithub.com\u002Fpierrebrunelle\u002Fmcp-server-openai\n- OpenAI Compatible Chat — https:\u002F\u002Fgithub.com\u002Fpyroprompts\u002Fany-chat-completions-mcp\n- Perplexity — https:\u002F\u002Fgithub.com\u002Ftanigami\u002Fmcp-server-perplexity\n- LlamaCloud — https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fmcp-server-llamacloud\n- HuggingFace Spaces — https:\u002F\u002Fgithub.com\u002Fevalstate\u002Fmcp-hfspace\n- PiAPI — https:\u002F\u002Fgithub.com\u002Fapinetwork\u002Fpiapi-mcp-server\n- Chronulus AI — https:\u002F\u002Fgithub.com\u002FChronulusAI\u002Fchronulus-mcp\n- Creatify — https:\u002F\u002Fgithub.com\u002FTSavo\u002Fcreatify-mcp\n- ZenML (⭐) — https:\u002F\u002Fgithub.com\u002Fzenml-io\u002Fmcp-zenml\n\n---\n\n## Category: Development Tools (💻)\n\nDeveloper-focused MCP servers and tools.\n\n- CentralMind\u002FGateway — https:\u002F\u002Fgithub.com\u002Fcentralmind\u002Fgateway\n- Currents (⭐) — https:\u002F\u002Fgithub.com\u002Fcurrents-dev\u002Fcurrents-mcp\n- Octocode — https:\u002F\u002Fgithub.com\u002Fbgauryy\u002Foctocode-mcp\n- OpenAPI Schema Explorer — https:\u002F\u002Fgithub.com\u002Fkadykov\u002Fmcp-openapi-schema-explorer\n- OpenRPC — https:\u002F\u002Fgithub.com\u002Fshanejonas\u002Fopenrpc\n- Postman — https:\u002F\u002Fgithub.com\u002Fdelano\u002Fpostman-mcp-server\n- QA Sphere (⭐) — https:\u002F\u002Fgithub.com\u002FHypersequent\u002Fqasphere-mcp\n- flutter-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- marimo (⭐) — https:\u002F\u002Fgithub.com\u002Fmarimo-team\u002Fcodemirror-mcp\n- Figma — https:\u002F\u002Fgithub.com\u002FGLips\u002FFigma-Context-MCP\n- Comet Opik (⭐) — https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik-mcp\n- VSCode Devtools — https:\u002F\u002Fgithub.com\u002Fbiegehydra\u002FBifrostMCP\n- Mastra\u002Fmcp (⭐) — https:\u002F\u002Fgithub.com\u002Fmastra-ai\u002Fmastra\u002Ftree\u002Fmain\u002Fpackages\u002Fmcp\n- Bucket — https:\u002F\u002Fgithub.com\u002Fbucketco\u002Fbucket-javascript-sdk\u002Ftree\u002Fmain\u002Fpackages\u002Fcli#model-context-protocol\n- DefangLabs\u002Fdefang — https:\u002F\u002Fgithub.com\u002FDefangLabs\u002Fdefang\n- jarp-mcp — https:\u002F\u002Fgithub.com\u002FtersePrompts\u002Fjarp-mcp\n- HendryAvila\u002FHoofy — https:\u002F\u002Fgithub.com\u002FHendryAvila\u002FHoofy — Spec-driven development companion with persistent memory (SQLite + FTS5 + knowledge graph), adaptive change pipeline (12 flow variants), greenfield project pipeline with Clarity Gate, and business rules extraction. 32 MCP tools. Single Go binary.\n- many others in Community Servers and Official Servers\n\n---\n\n## Category: Data Visualization (📊)\n\nCharting and diagram tools.\n\n- VegaLite — https:\u002F\u002Fgithub.com\u002Fisaacwasserman\u002Fmcp-vegalite-server\n- Chart (AntV) — https:\u002F\u002Fgithub.com\u002Fantvis\u002Fmcp-server-chart\n- ECharts — https:\u002F\u002Fgithub.com\u002Fhustcc\u002Fmcp-echarts\n- Mermaid — https:\u002F\u002Fgithub.com\u002Fhustcc\u002Fmcp-mermaid\n- unified-diff-mcp — https:\u002F\u002Fgithub.com\u002Fgorosun\u002Funified-diff-mcp\n\n---\n\n## Category: Identity (🆔)\n\nIdentity and access management.\n\n- Keycloak — https:\u002F\u002Fgithub.com\u002FChristophEnglisch\u002Fkeycloak-model-context-protocol\n\n---\n\n## Category: Aggregators (🔗)\n\nSingle MCP endpoints that expose many integrations.\n\n- SkillBoss — https:\u002F\u002Fgithub.com\u002Fheeyo-life\u002Fskillboss-mcp — One API key for 100+ AI services (Claude, GPT, Gemini, DeepSeek, images, video, data scraping, payments, email, and more). OpenAI-compatible. Works in Claude Code, Cursor, Windsurf.\n- MCPJungle — https:\u002F\u002Fgithub.com\u002Fmcpjungle\u002FMCPJungle\n- Rube — https:\u002F\u002Frube.composio.dev\n- Pipedream — https:\u002F\u002Fgithub.com\u002FPipedreamHQ\u002Fpipedream\u002Ftree\u002Fmaster\u002Fmodelcontextprotocol\n- Zapier — https:\u002F\u002Fzapier.com\u002Fmcp\n- Plugged.in — https:\u002F\u002Fgithub.com\u002FVeriTeknik\u002Fpluggedin-mcp-proxy\n- MCP Aggregator \u002F Combine — https:\u002F\u002Fgithub.com\u002Fnazar256\u002Fcombine-mcp\n- Magg — https:\u002F\u002Fgithub.com\u002Fsitbon\u002Fmagg\n\n---\n\n## Category: Language & Translation (💬)\n\nTranslation and language services.\n\n- Lara (⭐) — https:\u002F\u002Fgithub.com\u002Ftranslated\u002Flara-mcp\n\n---\n\n## Category: Security (🔒)\n\nSecurity-focused servers and scanning tools.\n\n- Semgrep — https:\u002F\u002Fgithub.com\u002Fsemgrep\u002Fmcp\n- Microsoft Entra ID — Microsoft-related MCPs for identity\n- Netwrix (⭐) — https:\u002F\u002Fgithub.com\u002Fnetwrix\u002Fmcp-server-naa\n- OSV — https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Fosv-mcp\n- Vulert — https:\u002F\u002Fvulert.com\n- Thales \u002F CDSP servers — various MCP integrations for secrets & keys\n- Agent OS — https:\u002F\u002Fgithub.com\u002Fimran-siddique\u002Fagent-os — 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---\n\n## Category: IoT (🔌)\n\nMCP servers for device and IoT integration.\n\n- Coreflux MQTT — https:\u002F\u002Fgithub.com\u002FCorefluxCommunity\u002FCorefluxMCPServer\n\n---\n\n## Category: Art & Literature (🧑‍🎨)\n\nBooks, libraries, and creative tools.\n\n- MCP Open Library — https:\u002F\u002Fgithub.com\u002F8enSmith\u002Fmcp-open-library\n- Pollinations — https:\u002F\u002Fgithub.com\u002Fpollinations\u002Fmodel-context-protocol\n\n---\n\n## Category: E-Commerce (🛒)\n\nCommerce and marketplace integrations.\n\n- Mercado Libre — https:\u002F\u002Fmcp.mercadolibre.com\u002F\n- Gunsnation — https:\u002F\u002Fgithub.com\u002FDynamicDeals\u002Fmcp-server-gunsnation\n- ShopSavvy (⭐) — https:\u002F\u002Fgithub.com\u002Fshopsavvy\u002Fshopsavvy-mcp-server\n\n---\n\n## Category: Data Platforms (📦)\n\nOrchestration and data pipeline platforms.\n\n- Keboola (⭐) — https:\u002F\u002Fgithub.com\u002Fkeboola\u002Fkeboola-mcp-server\n\n---\n\n## Category: Robotics & Physical AI (🤖)\n\nRobotics and device control.\n\n- Bagel — https:\u002F\u002Fgithub.com\u002FExtelligence-ai\u002Fbagel\n\n---\n\n# Community Servers\n\nA broad collection of community-maintained MCP servers (selected highlights — many more are available in the ecosystem):\n\n- AllInOneMCP \u002F MCP Discovery \u002F MCP of MCPs — https:\u002F\u002Fgithub.com\u002Fparticlefuture\u002FMCPDiscovery\n- Airtable — https:\u002F\u002Fgithub.com\u002Fdomdomegg\u002Fairtable-mcp-server\n- Agentset — https:\u002F\u002Fgithub.com\u002Fagentset-ai\u002Fmcp-server\n- Alertmanager — https:\u002F\u002Fgithub.com\u002Fntk148v\u002Falertmanager-mcp-server\n- Algorand — https:\u002F\u002Fgithub.com\u002FGoPlausible\u002Falgorand-mcp\n- Android MCP — https:\u002F\u002Fgithub.com\u002Fminhalvp\u002Fandroid-mcp-server\n- AniList — https:\u002F\u002Fgithub.com\u002Fyuna0x0\u002Fanilist-mcp\n- AnkiConnect — https:\u002F\u002Fgithub.com\u002Fspacholski1225\u002Fanki-connect-mcp\n- APISIX-MCP — https:\u002F\u002Fgithub.com\u002Fapi7\u002Fapisix-mcp\n- Apple Notes — https:\u002F\u002Fgithub.com\u002FRafalWilinski\u002Fmcp-apple-notes\n- Apple Shortcuts — https:\u002F\u002Fgithub.com\u002Frecursechat\u002Fmcp-server-apple-shortcuts\n- AWS EC2 Pricing — https:\u002F\u002Fgithub.com\u002Ftrilogy-group\u002Faws-pricing-mcp\n- Backup — https:\u002F\u002Fgithub.com\u002Fhexitex\u002FMCP-Backup-Server\n- Basecamp — https:\u002F\u002Fgithub.com\u002Fgeorgeantonopoulos\u002FBasecamp-MCP-Server\n- BigQuery servers — https:\u002F\u002Fgithub.com\u002FLucasHild\u002Fmcp-server-bigquery and https:\u002F\u002Fgithub.com\u002Fergut\u002Fmcp-bigquery-server\n- Binary Ninja integration — https:\u002F\u002Fgithub.com\u002Ffosdickio\u002Fbinary_ninja_mcp\n- Bing Webmaster Tools — https:\u002F\u002Fgithub.com\u002Fisiahw1\u002Fmcp-server-bing-webmaster\n- Bluesky — https:\u002F\u002Fgithub.com\u002Fketuriosakys\u002Fbluesky-context-server\n- BloodHound-MCP — https:\u002F\u002Fgithub.com\u002FMorDavid\u002FBloodHound-MCP-AI\n- Box community server — https:\u002F\u002Fgithub.com\u002Fhmk\u002Fbox-mcp-server\n- Browser MCPs — multiple implementations for local and remote browser automation\n- bytebase\u002Fdbhub — https:\u002F\u002Fgithub.com\u002Fbytebase\u002Fdbhub\n- Calculator — https:\u002F\u002Fgithub.com\u002Fgithejie\u002Fmcp-server-calculator\n- CalDAV MCP — https:\u002F\u002Fgithub.com\u002Fdominik1001\u002Fcaldav-mcp\n- Context-aware & discovery servers (context-awesome, ref, etc.)\n- Currents — https:\u002F\u002Fgithub.com\u002Fcurrents-dev\u002Fcurrents-mcp\n- DINO-X, Digma, Driflyte, DreamFactory, Dash0, DB-specific servers, and many more.\n\n(For the exhaustive long list of community servers and links, refer to the aggregated listings in community and official sections across the MCP ecosystem. This README collects and organizes the major categories and many example projects; the community maintains a rapidly growing set of servers — check the linked repos for the latest.)\n\n---\n\n# Clients\n\nClients and UI tools that consume MCP servers:\n\n- MBro — https:\u002F\u002Fgithub.com\u002Fsitbon\u002Fmagg\u002Fblob\u002Fmain\u002Fdocs\u002Fmbro.md\n- mcp-cli — https:\u002F\u002Fgithub.com\u002Fwong2\u002Fmcp-cli\n- mcp-client — https:\u002F\u002Fgithub.com\u002Frakesh-eltropy\u002Fmcp-client\n- MCP-Bridge — https:\u002F\u002Fgithub.com\u002FSecretiveShell\u002FMCP-Bridge\n- MCP-Chatbot (⭐ CLI) — https:\u002F\u002Fgithub.com\u002F3choff\u002Fmcp-chatbot\n- Zed — https:\u002F\u002Fgithub.com\u002Fzed-industries\u002Fzed\n- genkit — https:\u002F\u002Fgithub.com\u002Ffirebase\u002Fgenkit\n- Continue — https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue\n- gpt-computer-assistant — https:\u002F\u002Fgithub.com\u002FUpsonic\u002Fgpt-computer-assistant\n- MCP-Connect — https:\u002F\u002Fgithub.com\u002FEvalsOne\u002Fmcp-connect\n- codemirror-mcp — https:\u002F\u002Fgithub.com\u002Fmarimo-team\u002Fcodemirror-mcp\n- LibreChat — https:\u002F\u002Fwww.librechat.ai\u002F\n- mcphub.nvim — https:\u002F\u002Fgithub.com\u002Fravitemer\u002Fmcphub.nvim\n- Nerve — https:\u002F\u002Fgithub.com\u002Fevilsocket\u002Fnerve\n- Shinkai — http:\u002F\u002Fgithub.com\u002FdcSpark\u002Fshinkai-apps\u002F\n- mcps-playground — https:\u002F\u002Fmcpsplayground.com\u002Fchat\n\n---\n\n# Frameworks\n\nFrameworks and scaffolding for building MCP servers:\n\n- PraisonAI MCP — https:\u002F\u002Fgithub.com\u002FMervinPraison\u002Fpraisonai-mcp (AI Agents framework with 64+ built-in tools for search, memory, workflows, code execution)\n\nFrameworks and scaffolding for building MCP servers:\n\n- create-mcp-ts — https:\u002F\u002Fgithub.com\u002Fstephencme\u002Fcreate-mcp-ts\n- LiteMCP — https:\u002F\u002Fgithub.com\u002Fwong2\u002Flitemcp\n- mcp-framework — https:\u002F\u002Fgithub.com\u002FQuantGeekDev\u002Fmcp-framework\n- MCP Plexus — https:\u002F\u002Fgithub.com\u002Fsuper-i-tech\u002Fmcp_plexus\n- oatpp-mcp — https:\u002F\u002Fgithub.com\u002Foatpp\u002Foatpp-mcp\n- centralmind\u002Fgateway — https:\u002F\u002Fgithub.com\u002Fcentralmind\u002Fgateway\n- ToolHive — https:\u002F\u002Fgithub.com\u002FStacklok\u002Ftoolhive\n- fastMCP4J — https:\u002F\u002Fgithub.com\u002FtersePrompts\u002FfastMCP4J\n- many others to simplify server creation, type-safety, and security best practices\n\n---\n\n# Notes & Recommendations\n\n- Always run untrusted or community MCP servers in an isolated environment (container or VM) and restrict access to sensitive resources.\n- Prefer official vendor-maintained servers (marked with ⭐) for production use.\n- Check each server repo for documentation about transports (stdio, SSE, HTTP), authentication, and example clients.\n- This ecosystem evolves rapidly — many new servers, clients, and frameworks are added frequently. If you maintain a server, ensure the repo has clear installation and security instructions.\n- [SkillFlow MCP Server](https:\u002F\u002Fgithub.com\u002Frafsilva85\u002Fskillflow-mcp-server) - Search and discover AI agent skills from the SkillFlow marketplace. Browse 500+ skills with trust metrics, categories, and ratings.\n\n\u003Cdiv align=\"right\">\n    \u003Cb>\u003Ca href=\"#Contents\">↥ back to top\u003C\u002Fa>\u003C\u002Fb>\n\u003C\u002Fdiv>\n\n## Contributors\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fgraphs\u002Fcontributors\">\n  \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FYuzeHao2023_Awesome-MCP-Servers_readme_fb1fbe8a91eb.png\" \u002F>\n\u003C\u002Fa>\n\nIf this project is helpful for you, please cite:\n\n```bib\n@misc{hao2025mcp,\n      title={Awesome-MCP-Servers}, \n      author={All Awesome-MCP-Servers Contributors},\n      year={2025},\n      publisher = {GitHub},\n      journal = {GitHub repository},\n      howpublished = {\\url{https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers}},\n}\n```\n","![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FYuzeHao2023_Awesome-MCP-Servers_readme_3cdf3dce326d.png)\n\n# 令人惊叹的 MCP 服务器 ![Awesome](https:\u002F\u002Fcdn.rawgit.com\u002Fsindresorhus\u002Fawesome\u002Fd7305f38d29fed78fa85652e3a63e154dd8e8829\u002Fmedia\u002Fbadge.svg)   \n\n[![由 DartNode 提供支持](https:\u002F\u002Fdartnode.com\u002Fbranding\u002FDN-Open-Source-sm.png)](https:\u002F\u002Fdartnode.com \"由 DartNode 提供支持 - 开源项目的免费 VPS\")\n\n这是一份精心挑选、由社区驱动的优秀模型上下文协议（MCP）服务器、工具、框架、客户端和实用程序列表。MCP 是一种开放协议，它通过标准化的服务器实现，使 AI 模型能够安全地与本地和远程资源进行交互。\n\n---\n\n顺便提一下，我们提供了一份完整的 [MCP（主控程序）服务器列表](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FFull-List-of-MCP-Servers.xlsx)，该列表由网络爬虫编译而成，包含约 6000 条条目。\n\n---\n\n## 所有文档\n> 征集翻译人员！[我们正在寻找翻译人员](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fissues\u002F1)，帮助将本规范翻译成多种语言，惠及更多人！\n\n**请阅读以下语言版本的文档：**\n\n| 语言 | 链接                                                                 |\n|----------|---------------------------------------------------------------------|\n| 英语  | [English](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers?tab=readme-ov-file) |\n| 简体中文  | [简体中文](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_zh_CN.md) |\n| 繁體中文  | [繁體中文](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_zh_TW.md) |\n| 日本語    | [日本語](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_ja.md) |\n| 韩国語    | [한국어](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fblob\u002Fmain\u002FREADME_ko.md) |\n\n---\n\n## 什么是 MCP？\n\n[MCP](https:\u002F\u002Fmodelcontextprotocol.io\u002F) 是一种开放协议，它通过标准化的服务器实现，使 AI 模型能够安全地与本地和远程资源进行交互。本列表专注于生产就绪和实验性的 MCP 服务器，这些服务器通过文件访问、数据库连接、API 集成以及其他上下文服务来扩展 AI 的能力。\n\n---\n\n# 目录\n\n## 教程\n\n* [模型上下文协议（MCP）快速入门](https:\u002F\u002Fglama.ai\u002Fblog\u002F2024-11-25-model-context-protocol-quickstart)\n* [设置 Claude 桌面应用以使用 SQLite 数据库](https:\u002F\u002Fyoutu.be\u002FwxCCzo9dGj0)\n\n## 社区\n\n* [r\u002Fmcp Reddit](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fmcp)\n* [Discord 服务器](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fdiscord)\n\n---\n\n## ⚠️ 安全警告\n\n在没有适当沙箱隔离的情况下运行 MCP 服务器时，它们可能会以与宿主进程相同的权限在您的系统上执行任意代码。这会带来严重的安全风险。\n\n警告摘要：\n- 系统访问：完全访问文件、网络和系统资源\n- 代码执行：可在您的机器上运行命令\n- 提示注入：恶意提示可能触发服务器的意外行为\n- 数据泄露：敏感数据可能被访问或泄露\n\n最佳实践：\n- 尽量使用官方实现（标有 ⭐）\n- 在虚拟机或隔离容器中运行服务器\n- 在安装前仔细审查代码和配置\n- 将权限限制到最低必要范围\n- 监控服务器活动和日志\n\n---\n\n## 支持的客户端示例\n\n许多 MCP 客户端和 UI 可以连接到此处列出的服务器。示例包括（但不限于）：\n- Claude Desktop \u002F Claude 客户端\n- Zed\n- Sourcegraph Cody\n- Cursor\n- Visual Studio Code\n- LibreChat\n- 各种 CLI 和基于浏览器的客户端\n\n（特定客户端的图标和链接通常显示在各个服务器\u002F项目页面上。）\n\n---\n\n## 服务器实现（分类）\n\n- 📂 文件系统\n- 📦 沙箱与虚拟化\n- 🔄 版本控制\n- ☁️ 云存储\n- 🗄️ 数据库\n- 💬 通信\n- 📈 监控\n- 🔍 搜索与网络\n- 🗺️ 定位服务\n- 🎯 营销\n- 📝 笔记记录\n- ⚡ 云平台\n- ⚙️ 工作流自动化\n- 🤖 系统自动化\n- 📱 社交媒体\n- 🎮 游戏\n- 💹 金融\n- 🧬 研究与数据\n- 🤝 AI 服务\n- 💻 开发工具\n- 📊 数据可视化\n- 🆔 身份认证\n- 🔗 聚合器\n- 💬 语言与翻译\n- 🔒 安全\n- 🔌 物联网\n- 🧑‍🎨 艺术与文学\n- 🛒 电子商务\n- 📦 数据平台\n- 🤖 机器人与物理 AI\n\n图例：\n- ⭐ 官方协议实现\n- 1,2,3,... 多个实现时的排序编号\n\n---\n\n# 参考服务器\n\n这些是演示 MCP 功能的示例\u002F参考服务器和核心 SDK 示例。\n\n- Everything（带有提示、资源和工具的参考\u002F测试服务器）\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Fblob\u002Fmain\u002Fsrc\u002Feverything\n- Fetch\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffetch\n- Filesystem\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffilesystem\n- Git\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgit\n- Memory\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fmemory\n- Sequential Thinking\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsequentialthinking\n- Time\n  - https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Fblob\u002Fmain\u002Fsrc\u002Ftime\n\n---\n\n\n# 官方服务器\n\n官方集成由为各自平台构建生产就绪 MCP 服务器的公司维护。（存在时标有 ⭐）\n\n- 1mcpserver — https:\u002F\u002Fgithub.com\u002Fparticlefuture\u002F1mcpserver\n- 21st.dev Magic — https:\u002F\u002Fgithub.com\u002F21st-dev\u002Fmagic-mcp\n- 4everland\u002F4everland-hosting-mcp — https:\u002F\u002Fgithub.com\u002F4everland\u002F4everland-hosting-mcp\n- Adfin — https:\u002F\u002Fgithub.com\u002FAdfin-Engineering\u002Fmcp-server-adfin\n- Agent Mindshare — https:\u002F\u002Fagentmindshare.com\n- AgentQL — https:\u002F\u002Fgithub.com\u002Ftinyfish-io\u002Fagentql-mcp\n- AgentRPC — https:\u002F\u002Fgithub.com\u002Fagentrpc\u002Fagentrpc\n- Aiven — https:\u002F\u002Fgithub.com\u002FAiven-Open\u002Fmcp-aiven\n- AlibabaCloud DevOps MCP — https:\u002F\u002Fgithub.com\u002Faliyun\u002Falibabacloud-devops-mcp-server\n- Apify Actors — https:\u002F\u002Fgithub.com\u002Fapify\u002Factors-mcp-server\n- Box — https:\u002F\u002Fgithub.com\u002Fbox-community\u002Fmcp-server-box (⭐)\n- Cloudflare — https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare (⭐)\n- GitHub — https:\u002F\u002Fgithub.com\u002Fgithub\u002Fgithub-mcp-server（官方）\n- Notion — https:\u002F\u002Fgithub.com\u002Fmakenotion\u002Fnotion-mcp（官方）\n- Stripe — https:\u002F\u002Fgithub.com\u002Fstripe\u002Fagent-toolkit\u002Ftree\u002Fmain（⭐）\n- PayPal — https:\u002F\u002Fgithub.com\u002Fpaypal\u002Fagent-toolkit\u002Ftree\u002Fmain（⭐）\n- Tinybird — https:\u002F\u002Fgithub.com\u002Ftinybirdco\u002Fmcp-tinybird（⭐）\n- Cloud-run、AWS、Azure、Google 的相关产品——awslabs 和 Google 仓库中的多个官方 MCP 服务器，均属于 modelcontextprotocol 项目。\n\n（有关官方服务器和厂商维护实现的完整列表，请参阅本文档中的“官方服务器”和“参考服务器”，以及所链接的仓库。）\n\n---\n\n# 工具与实用程序\n\n用于发现、安装、管理以及使用 MCP 服务器的实用工具。\n\n服务器管理工具：\n- mcp-get — 用于安装和管理 MCP 服务器的命令行工具（面向 Claude Desktop）— https:\u002F\u002Fgithub.com\u002Fmichaellatman\u002Fmcp-get\n- mxcp — 一个用于构建安全企业级 MCP 工具的开源框架 — http:\u002F\u002Fgithub.com\u002Fraw-labs\u002Fmxcp\n- Remote MCP — 用于远程 MCP 通信的解决方案 — https:\u002F\u002Fgithub.com\u002Fssut\u002FRemote-MCP\n- yamcp — 模型上下文工作区管理器 — https:\u002F\u002Fgithub.com\u002Fhamidra\u002Fyamcp\n- ToolHive — 一款轻量级实用工具，用于简化部署和管理 — https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Ftoolhive\n- MCP Installer — https:\u002F\u002Fgithub.com\u002Fanaisbetts\u002Fmcp-installer\n\n其他实用程序：\n- Secure Fetch — 安全的获取工具，可防止访问本地资源 — https:\u002F\u002Fgithub.com\u002Fappsec-innovation-labs\u002Fsecure-mcp-fetch\n- mcp-cli — MCP 服务器的命令行检查工具 — https:\u002F\u002Fgithub.com\u002Fwong2\u002Fmcp-cli\n- mcp-get、mcp-installer 等类似工具，用于简化安装和发现过程。\n\n---\n\n## 类别：文件系统 (📂)\n\n提供对本地或远程文件系统的访问，并支持可配置的权限设置。\n\n- Backup — https:\u002F\u002Fgithub.com\u002Fhexitex\u002FMCP-Backup-Server\n- FileStash — https:\u002F\u002Fgithub.com\u002Fmickael-kerjean\u002Ffilestash\u002Ftree\u002Fmaster\u002Fserver\u002Fplugin\u002Fplg_handler_mcp\n- FileSystem（modelcontextprotocol 参考）— https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffilesystem (1)\n- FileSystem（mark3labs）— https:\u002F\u002Fgithub.com\u002Fmark3labs\u002Fmcp-filesystem-server (2)\n- Everything Search — https:\u002F\u002Fgithub.com\u002Fmamertofabian\u002Fmcp-everything-search\n- fast-filesystem-mcp — https:\u002F\u002Fgithub.com\u002Fefforthye\u002Ffast-filesystem-mcp\n- llm-context — https:\u002F\u002Fgithub.com\u002Fcyberchitta\u002Fllm-context.py\n\n---\n\n## 类别：沙箱与虚拟化 (📦)\n\n用于代码执行的安全沙箱环境。\n\n- Microsandbox（⭐）— https:\u002F\u002Fgithub.com\u002Fmicrosandbox\u002Fmicrosandbox\n- E2B（⭐）— https:\u002F\u002Fgithub.com\u002Fe2b-dev\u002Fmcp-server\n- Docker（QuantGeekDev）— https:\u002F\u002Fgithub.com\u002FQuantGeekDev\u002Fdocker-mcp\n\n---\n\n## 类别：版本控制 (🔄)\n\n与 Git 和版本控制相关的 MCP 服务器。\n\n- GitHub（1）— https:\u002F\u002Fgithub.com\u002Fgithub\u002Fgithub-mcp-server（官方）\n- GitHub Repos Manager — https:\u002F\u002Fgithub.com\u002Fkurdin\u002Fgithub-repos-manager-mcp\n- GitLab — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgitlab\n- Git（直接）— https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgit\n- Phabricator — https:\u002F\u002Fgithub.com\u002Fbaba786\u002Fphabricator-mcp-server\n- Gitingest-MCP — https:\u002F\u002Fgithub.com\u002Fpuravparab\u002FGitingest-MCP\n\n---\n\n## 类别：云存储 (☁️)\n\n访问云存储平台。\n\n- Google Drive — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgdrive\n- Box（⭐）— https:\u002F\u002Fdeveloper.box.com\u002Fguides\u002Fbox-mcp\u002F\n- VideoDB（agent-toolkit）— https:\u002F\u002Fgithub.com\u002Fvideo-db\u002Fagent-toolkit\u002Ftree\u002Fmain\u002Fmodelcontextprotocol（⭐）\n- Microsoft 365 — https:\u002F\u002Fgithub.com\u002Fsofteria\u002Fms-365-mcp-server\n\n---\n\n## 类别：数据库 (🗄️)\n\n提供数据库访问功能，支持模式检查和查询。\n\n- PostgreSQL — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fpostgres\n- SQLite — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsqlite\n- DuckDB — https:\u002F\u002Fgithub.com\u002Fktanaka101\u002Fmcp-server-duckdb\n- Excel — https:\u002F\u002Fgithub.com\u002Fharis-musa\u002Fexcel-mcp-server\n- BigQuery — https:\u002F\u002Fgithub.com\u002FLucasHild\u002Fmcp-server-bigquery（1）及 https:\u002F\u002Fgithub.com\u002Fergut\u002Fmcp-bigquery-server（2）\n- Neon（⭐）— https:\u002F\u002Fgithub.com\u002Fneondatabase\u002Fmcp-server-neon\n- Qdrant（⭐）— https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fmcp-server-qdrant\u002F\n- MongoDB — https:\u002F\u002Fgithub.com\u002Fkiliczsh\u002Fmcp-mongo-server\n- MongoDB Lens — https:\u002F\u002Fgithub.com\u002Ffurey\u002Fmongodb-lens\n- MySQL — https:\u002F\u002Fgithub.com\u002Fdesigncomputer\u002Fmysql_mcp_server\n- Airtable — https:\u002F\u002Fgithub.com\u002Fdomdomegg\u002Fairtable-mcp-server\n- Snowflake — https:\u002F\u002Fgithub.com\u002Fisaacwasserman\u002Fmcp-snowflake-server\n- DBUtils — https:\u002F\u002Fgithub.com\u002Fdonghao1393\u002Fmcp-dbutils\n- TiDB — https:\u002F\u002Fgithub.com\u002Fc4pt0r\u002Fmcp-server-tidb\n- NocoDB — https:\u002F\u002Fgithub.com\u002Fedwinbernadus\u002Fnocodb-mcp-server\n- Couchbase（⭐）— https:\u002F\u002Fgithub.com\u002FCouchbase-Ecosystem\u002Fmcp-server-couchbase\n- Redis（⭐）— https:\u002F\u002Fgithub.com\u002Fredis\u002Fmcp-redis\n- 许多其他特定于数据库的服务器列在社区服务器中。\n\n---\n\n## 类别：通信 (💬)\n\n与聊天和消息平台集成。\n\n- Slack — https:\u002F\u002Fgithub.com\u002Fkorotovsky\u002Fslack-mcp-server\n- LINE 官方账号（⭐）— https:\u002F\u002Fgithub.com\u002Fline\u002Fline-bot-mcp-server\n- Linear — https:\u002F\u002Fgithub.com\u002Fjerhadf\u002Flinear-mcp-server\n- Atlassian — https:\u002F\u002Fgithub.com\u002Fsooperset\u002Fmcp-atlassian\n- Carbon Voice（⭐）— https:\u002F\u002Fgithub.com\u002FPhononX\u002Fcv-mcp-server\n- ntfy — https:\u002F\u002Fgithub.com\u002Fgitmotion\u002Fntfy-me-mcp\n\n---\n\n## 类别：监控 (📈)\n\n访问可观测性和监控系统。\n\n- Metoro — https:\u002F\u002Fgithub.com\u002Fmetoro-io\u002Fmetoro-mcp-server\n- Raygun — https:\u002F\u002Fgithub.com\u002FMindscapeHQ\u002Fmcp-server-raygun\n- Sentry — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fsentry\n- sslmon — https:\u002F\u002Fgithub.com\u002Ffiresh\u002Fsslmon-mcp\n- Signoz — https:\u002F\u002Fgithub.com\u002FDrDroidLab\u002Fsignoz-mcp-server\n- VictoriaMetrics — https:\u002F\u002Fgithub.com\u002FVictoriaMetrics-Community\u002Fmcp-victoriametrics\n\n---\n\n## 类别：搜索与网络 (🔍)\n\n网页抓取、爬取和搜索。\n\n- Puppeteer — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fpuppeteer\n- Brave Search — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fbrave-search\n- Bright Data — https:\u002F\u002Fgithub.com\u002Fluminati-io\u002Fbrightdata-mcp\n- Dumpling AI — https:\u002F\u002Fgithub.com\u002FDumpling-AI\u002Fmcp-server-dumplingai\n- Fetch — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Ffetch\n- Kagi Search — https:\u002F\u002Fgithub.com\u002Fac3xx\u002Fmcp-servers-kagi\n- Exa Search（⭐）— https:\u002F\u002Fgithub.com\u002Fexa-labs\u002Fexa-mcp-server\n- NYTimes — https:\u002F\u002Fgithub.com\u002Fangheljf\u002Fnyt\n- Google News — https:\u002F\u002Fgithub.com\u002FChanMeng666\u002Fserver-google-news\n- Scrapeless — https:\u002F\u002Fgithub.com\u002Fscrapeless-ai\u002Fscrapeless-mcp-server\n- Search1API — https:\u002F\u002Fgithub.com\u002Ffatwang2\u002Fsearch1api-mcp\n- RivalSearchMCP — https:\u002F\u002Fgithub.com\u002Fdamionrashford\u002FRivalSearchMCP\n- Tavily — https:\u002F\u002Fgithub.com\u002FTomatio13\u002Fmcp-server-tavily\n- ArXiv — https:\u002F\u002Fgithub.com\u002Fblazickjp\u002Farxiv-mcp-server\n- PapersWithCode — https:\u002F\u002Fgithub.com\u002Fhbg\u002Fmcp-paperswithcode\n- Playwright — https:\u002F\u002Fgithub.com\u002Fexecuteautomation\u002Fmcp-playwright\n- Websearch（SearXNG）— https:\u002F\u002Fgithub.com\u002Fmnhlt\u002FWebSearch-MCP 及 https:\u002F\u002Fgithub.com\u002Fihor-sokoliuk\u002Fmcp-searxng\n- Apify Actors 和 RAG 网页浏览器 — https:\u002F\u002Fgithub.com\u002Fapify\u002Factors-mcp-server 及 https:\u002F\u002Fgithub.com\u002Fapify\u002Fmcp-server-rag-web-browser\n- Coupang MCP — https:\u002F\u002Fgithub.com\u002Fuju777\u002Fcoupang-mcp - 韩国电商搜索，支持火箭配送筛选\n- Naver 搜索 MCP — https:\u002F\u002Fgithub.com\u002Fuju777\u002Fmcp-server-naver-search - 针对韩国用户的 Naver 购物、咖啡馆、新闻搜索\n- Scrapeless 以及许多专注于网页抓取的 MCP 服务器均列在社区服务器中。\n\n---\n\n## 类别：位置服务 (🗺️)\n\n地图与地理定位。\n\n- Campertunity — https:\u002F\u002Fgithub.com\u002Fcampertunity\u002Fmcp-server\n- Google 地图 — https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fservers\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle-maps\n- IPLocate — https:\u002F\u002Fgithub.com\u002Fiplocate\u002Fmcp-server-iplocate\n- IP2Location.io — https:\u002F\u002Fgithub.com\u002Fip2location\u002Fmcp-ip2location-io\n- QGIS — https:\u002F\u002Fgithub.com\u002Fjjsantos01\u002Fqgis_mcp\n\n---\n\n## 类别：营销 (🎯)\n\n营销与分析工具。\n\n- Agent Mindshare — https:\u002F\u002Fagentmindshare.com\n- Open Strategy Partners 营销工具 — https:\u002F\u002Fgithub.com\u002Fopen-strategy-partners\u002Fosp_mark\n- Fathom Analytics — https:\u002F\u002Fgithub.com\u002Fmackenly\u002Fmcp-fathom-analytics\n- Facebook 广告 — https:\u002F\u002Fgithub.com\u002Fgomarble-ai\u002Ffacebook-ads-mcp-server\n- Google 广告 — https:\u002F\u002Fgithub.com\u002Fgomarble-ai\u002Fgoogle-ads-mcp-server\n\n---\n\n## 类别：笔记记录 (📝)\n\n个人知识与笔记集成。\n\n- eBook-mcp — https:\u002F\u002Fgithub.com\u002Fonebirdrocks\u002Febook-mcp\n- Obsidian (1\u002F2) — https:\u002F\u002Fgithub.com\u002FMarkusPfundstein\u002Fmcp-obsidian 和 https:\u002F\u002Fgithub.com\u002Fcalclavia\u002Fmcp-obsidian\n- Notion (1\u002F2) — https:\u002F\u002Fgithub.com\u002Fdanhilse\u002Fnotion_mcp 和 https:\u002F\u002Fgithub.com\u002Fsuekou\u002Fmcp-notion-server\n- Apple Notes — https:\u002F\u002Fgithub.com\u002Fsirmews\u002Fapple-notes-mcp (macOS)\n- Slite — https:\u002F\u002Fgithub.com\u002Ffajarmf\u002Fslite-mcp\n- Todoist — https:\u002F\u002Fgithub.com\u002Fabhiz123\u002Ftodoist-mcp-server\n- Google Keep — https:\u002F\u002Fgithub.com\u002Ffeuerdev\u002Fkeep-mcp\n- OMEGA — https:\u002F\u002Fgithub.com\u002Fomega-memory\u002Fcore（用于 AI 编程代理的持久化内存。在 LongMemEval 基准测试中排名第一（95.4%）。包含 12 种具有语义搜索、自动捕获和智能遗忘功能的 MCP 工具。本地优先，零云端依赖。）\n\n---\n\n## 类别：云平台 (⚡)\n\n云服务提供商与编排工具。\n\n- Cloudflare (⭐) — https:\u002F\u002Fgithub.com\u002Fcloudflare\u002Fmcp-server-cloudflare\n- Kubernetes（多种实现）— https:\u002F\u002Fgithub.com\u002Fstrowk\u002Fmcp-k8s-go (1)、https:\u002F\u002Fgithub.com\u002Fweibaohui\u002Fk8m (2)、https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Fmkp (3)\n- Tinybird (⭐) — https:\u002F\u002Fgithub.com\u002Ftinybirdco\u002Fmcp-tinybird\n- Google Cloud Run — https:\u002F\u002Fgithub.com\u002FGoogleCloudPlatform\u002Fcloud-run-mcp\n- Render — https:\u002F\u002Frender.com\u002Fdocs\u002Fmcp-server\n\n---\n\n## 类别：工作流自动化 (⚙️)\n\n自动化平台与工作流工具。\n\n- Make (⭐) — https:\u002F\u002Fgithub.com\u002Fintegromat\u002Fmake-mcp-server\n- Make (2) — https:\u002F\u002Fgithub.com\u002Fdanishashko\u002Fmake-mcp — 非官方社区分支，拥有 200 多个模块、自动修复和路由器支持\n- Taskade (⭐) — https:\u002F\u002Fgithub.com\u002Ftaskade\u002Fmcp\n- Zapier — https:\u002F\u002Fzapier.com\u002Fmcp\n- Pipedream — https:\u002F\u002Fgithub.com\u002FPipedreamHQ\u002Fpipedream\u002Ftree\u002Fmaster\u002Fmodelcontextprotocol\n- 工具聚合平台如 Rube、Rube\u002FComposio 和 MCPJungle 列于聚合器部分。\n\n---\n\n## 类别：系统自动化 (🤖)\n\nShell、操作系统及任务自动化。\n\n- Shell (wcgw) — https:\u002F\u002Fgithub.com\u002Frusiaaman\u002Fwcgw\n- Windows CLI — https:\u002F\u002Fgithub.com\u002FSimonB97\u002Fwin-cli-mcp\n- Windows 控制 — https:\u002F\u002Fgithub.com\u002FCheffromspace\u002Fnutjs-windows-control\n- 命令行 — https:\u002F\u002Fgithub.com\u002Fphialsbasement\u002Fcmd-mcp-server\n- Apple 快捷指令 — https:\u002F\u002Fgithub.com\u002Frecursechat\u002Fmcp-server-apple-shortcuts\n\n---\n\n## 类别：社交媒体 (📱)\n\n社交平台集成。\n\n- BlueSky — https:\u002F\u002Fgithub.com\u002Fketuriosakys\u002Fbluesky-context-server\n- YouTube — https:\u002F\u002Fgithub.com\u002Fanaisbetts\u002Fmcp-youtube 和 https:\u002F\u002Fgithub.com\u002Fkimtaeyoon83\u002Fmcp-server-youtube-transcript\n- Spotify — https:\u002F\u002Fgithub.com\u002Fvarunneal\u002Fspotify-mcp\n- TikTok — https:\u002F\u002Fgithub.com\u002FSeym0n\u002Ftiktok-mcp\n- Instagram 私信 — https:\u002F\u002Fgithub.com\u002Ftrypeggy\u002Finstagram_dm_mcp\n- X\u002FTwitter — https:\u002F\u002Fgithub.com\u002Fmbelinky\u002Fx-mcp-server\n- Social Neuron（52 种用于 AI 驱动的社交媒体内容生命周期的 MCP 工具——构思、创作、分发、分析和优化，并结合闭环学习）— https:\u002F\u002Fgithub.com\u002Fsocialneuron\u002Fmcp-server [npm: @socialneuron\u002Fmcp-server]\n\n---\n\n## 类别：游戏 (🎮)\n\n游戏引擎与工具。\n\n- Unity 引擎（多种）— https:\u002F\u002Fgithub.com\u002FIvanMurzak\u002FUnity-MCP、https:\u002F\u002Fgithub.com\u002FCoderGamester\u002Fmcp-unity、https:\u002F\u002Fgithub.com\u002Fcodemaestroai\u002Fadvanced-unity-mcp\n\n---\n\n## 类别：金融 (💹)\n\n支付、市场数据与金融工具。\n\n- Omnis Venture Intelligence MCP — https:\u002F\u002Fgithub.com\u002FHCS412\u002Fventureautomated（面向自主代理的远程风险投资情报：初创企业发现、公司评分、监控以及企业工作空间自动化）[glama](https:\u002F\u002Fglama.ai\u002Fmcp\u002Fconnectors\u002Fio.github.HCS412\u002Fventureautomated-omnis)\n- AgentFund — https:\u002F\u002Fgithub.com\u002FRioBot-Grind\u002Fagentfund-mcp\n- Octagon (⭐) — https:\u002F\u002Fgithub.com\u002FOctagonAI\u002Foctagon-mcp-server\n- CoinMarket — https:\u002F\u002Fgithub.com\u002Fanjor\u002Fcoinmarket-mcp-server\n- Chargebee (⭐) — https:\u002F\u002Fgithub.com\u002Fchargebee\u002Fagentkit\u002Ftree\u002Fmain\u002Fmodelcontextprotocol\n- DexPaprika (⭐) — https:\u002F\u002Fgithub.com\u002Fdonbagger\u002Fdexpaprika-mcp-server\n- Mercado Pago — https:\u002F\u002Fmcp.mercadopago.com\u002F\n- PayPal (⭐) — https:\u002F\u002Fgithub.com\u002Fpaypal\u002Fagent-toolkit\n- Stripe (⭐) — https:\u002F\u002Fgithub.com\u002Fstripe\u002Fagent-toolkit\n- LongPort OpenAPI (⭐) — https:\u002F\u002Fgithub.com\u002Flongportapp\u002Fopenapi\u002Ftree\u002Fmain\u002Fmcp\n- x402engine-mcp（通过 HTTP 402 微支付为 AI 代理提供 50 多种按调用计费的 API）— https:\u002F\u002Fgithub.com\u002Fagentc22\u002Fx402engine-mcp\n- awesome-x402（精选的 x402 支付协议 MCP 服务器和工具目录）— https:\u002F\u002Fgithub.com\u002Fxpaysh\u002Fawesome-x402\n\n---\n\n## 类别：研究与数据 (🧬)\n\n论文、数据集与领域数据。\n\n- ArXiv — https:\u002F\u002Fgithub.com\u002Fblazickjp\u002Farxiv-mcp-server\n- Ancestry — https:\u002F\u002Fgithub.com\u002Freeeeemo\u002Fancestry-mcp\n- Probe.dev — https:\u002F\u002Fmcp.probe.dev\n- OpenNutrition — https:\u002F\u002Fgithub.com\u002Fdeadletterq\u002Fmcp-opennutrition\n- Congress（立法数据）— https:\u002F\u002Fgithub.com\u002Famurshak\u002FcongressMCP\n\n---\n\n## 类别：AI 服务 (🤝)\n\nAI 模型与机器学习服务集成。\n\n- Agentset AI — https:\u002F\u002Fgithub.com\u002Fagentset-ai\u002Fmcp-server\n- NeuroLink — https:\u002F\u002Fgithub.com\u002Fjuspay\u002Fneurolink\n- OpenAI — https:\u002F\u002Fgithub.com\u002Fpierrebrunelle\u002Fmcp-server-openai\n- 兼容 OpenAI 的聊天 — https:\u002F\u002Fgithub.com\u002Fpyroprompts\u002Fany-chat-completions-mcp\n- Perplexity — https:\u002F\u002Fgithub.com\u002Ftanigami\u002Fmcp-server-perplexity\n- LlamaCloud — https:\u002F\u002Fgithub.com\u002Frun-llama\u002Fmcp-server-llamacloud\n- HuggingFace Spaces — https:\u002F\u002Fgithub.com\u002Fevalstate\u002Fmcp-hfspace\n- PiAPI — https:\u002F\u002Fgithub.com\u002Fapinetwork\u002Fpiapi-mcp-server\n- Chronulus AI — https:\u002F\u002Fgithub.com\u002FChronulusAI\u002Fchronulus-mcp\n- Creatify — https:\u002F\u002Fgithub.com\u002FTSavo\u002Fcreatify-mcp\n- ZenML (⭐) — https:\u002F\u002Fgithub.com\u002Fzenml-io\u002Fmcp-zenml\n\n---\n\n## 类别：开发工具 (💻)\n\n以开发者为中心的 MCP 服务器和工具。\n\n- CentralMind\u002FGateway — https:\u002F\u002Fgithub.com\u002Fcentralmind\u002Fgateway\n- Currents (⭐) — https:\u002F\u002Fgithub.com\u002Fcurrents-dev\u002Fcurrents-mcp\n- Octocode — https:\u002F\u002Fgithub.com\u002Fbgauryy\u002Foctocode-mcp\n- OpenAPI Schema Explorer — https:\u002F\u002Fgithub.com\u002Fkadykov\u002Fmcp-openapi-schema-explorer\n- OpenRPC — https:\u002F\u002Fgithub.com\u002Fshanejonas\u002Fopenrpc\n- Postman — https:\u002F\u002Fgithub.com\u002Fdelano\u002Fpostman-mcp-server\n- QA Sphere (⭐) — https:\u002F\u002Fgithub.com\u002FHypersequent\u002Fqasphere-mcp\n- flutter-skill — https:\u002F\u002Fgithub.com\u002Fai-dashboad\u002Fflutter-skill — 面向任何应用的 AI 驱动端到端测试桥。支持 Flutter、iOS、Android、Web、Electron、Tauri、KMP、React Native、.NET MAUI。\n- marimo (⭐) — https:\u002F\u002Fgithub.com\u002Fmarimo-team\u002Fcodemirror-mcp\n- Figma — https:\u002F\u002Fgithub.com\u002FGLips\u002FFigma-Context-MCP\n- Comet Opik (⭐) — https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik-mcp\n- VSCode Devtools — https:\u002F\u002Fgithub.com\u002Fbiegehydra\u002FBifrostMCP\n- Mastra\u002Fmcp (⭐) — https:\u002F\u002Fgithub.com\u002Fmastra-ai\u002Fmastra\u002Ftree\u002Fmain\u002Fpackages\u002Fmcp\n- Bucket — https:\u002F\u002Fgithub.com\u002Fbucketco\u002Fbucket-javascript-sdk\u002Ftree\u002Fmain\u002Fpackages\u002Fcli#model-context-protocol\n- DefangLabs\u002Fdefang — https:\u002F\u002Fgithub.com\u002FDefangLabs\u002Fdefang\n- jarp-mcp — https:\u002F\u002Fgithub.com\u002FtersePrompts\u002Fjarp-mcp\n- HendryAvila\u002FHoofy — https:\u002F\u002Fgithub.com\u002FHendryAvila\u002FHoofy — 基于规范的开发助手，具备持久化存储（SQLite + FTS5 + 知识图谱）、自适应变更流水线（12 种流程变体）、带有清晰度关卡的全新项目流水线以及业务规则提取功能。包含 32 种 MCP 工具。单个 Go 二进制文件。\n- 社区服务器和官方服务器中还有许多其他项目\n\n---\n\n## 类别：数据可视化 (📊)\n\n图表和 diagram 工具。\n\n- VegaLite — https:\u002F\u002Fgithub.com\u002Fisaacwasserman\u002Fmcp-vegalite-server\n- Chart (AntV) — https:\u002F\u002Fgithub.com\u002Fantvis\u002Fmcp-server-chart\n- ECharts — https:\u002F\u002Fgithub.com\u002Fhustcc\u002Fmcp-echarts\n- Mermaid — https:\u002F\u002Fgithub.com\u002Fhustcc\u002Fmcp-mermaid\n- unified-diff-mcp — https:\u002F\u002Fgithub.com\u002Fgorosun\u002Funified-diff-mcp\n\n---\n\n## 类别：身份识别 (🆔)\n\n身份与访问管理。\n\n- Keycloak — https:\u002F\u002Fgithub.com\u002FChristophEnglisch\u002Fkeycloak-model-context-protocol\n\n---\n\n## 类别：聚合器 (🔗)\n\n暴露多种集成的单一 MCP 端点。\n\n- SkillBoss — https:\u002F\u002Fgithub.com\u002Fheeyo-life\u002Fskillboss-mcp — 一个 API 密钥即可接入 100 多种 AI 服务（Claude、GPT、Gemini、DeepSeek、图像、视频、数据抓取、支付、邮件等）。兼容 OpenAI。可在 Claude Code、Cursor、Windsurf 中使用。\n- MCPJungle — https:\u002F\u002Fgithub.com\u002Fmcpjungle\u002FMCPJungle\n- Rube — https:\u002F\u002Frube.composio.dev\n- Pipedream — https:\u002F\u002Fgithub.com\u002FPipedreamHQ\u002Fpipedream\u002Ftree\u002Fmaster\u002Fmodelcontextprotocol\n- Zapier — https:\u002F\u002Fzapier.com\u002Fmcp\n- Plugged.in — https:\u002F\u002Fgithub.com\u002FVeriTeknik\u002Fpluggedin-mcp-proxy\n- MCP 聚合器 \u002F Combine — https:\u002F\u002Fgithub.com\u002Fnazar256\u002Fcombine-mcp\n- Magg — https:\u002F\u002Fgithub.com\u002Fsitbon\u002Fmagg\n\n---\n\n## 类别：语言与翻译 (💬)\n\n翻译和语言服务。\n\n- Lara (⭐) — https:\u002F\u002Fgithub.com\u002Ftranslated\u002Flara-mcp\n\n---\n\n## 类别：安全 (🔒)\n\n专注于安全的服务器和扫描工具。\n\n- Semgrep — https:\u002F\u002Fgithub.com\u002Fsemgrep\u002Fmcp\n- Microsoft Entra ID — 与身份相关的微软 MCP\n- Netwrix (⭐) — https:\u002F\u002Fgithub.com\u002Fnetwrix\u002Fmcp-server-naa\n- OSV — https:\u002F\u002Fgithub.com\u002FStacklokLabs\u002Fosv-mcp\n- Vulert — https:\u002F\u002Fvulert.com\n- Thales \u002F CDSP 服务器 — 各种用于密钥和凭据的 MCP 集成\n- Agent OS — https:\u002F\u002Fgithub.com\u002Fimran-siddique\u002Fagent-os — 面向 AI 代理的内核级治理 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），而非基于提示的安全护栏。属于 microsoft\u002Fagent-lightning（14k★）。可通过 `npx agentos-mcp-server` 运行。\n\n---\n\n## 类别：物联网 (🔌)\n\n用于设备和 IoT 集成的 MCP 服务器。\n\n- Coreflux MQTT — https:\u002F\u002Fgithub.com\u002FCorefluxCommunity\u002FCorefluxMCPServer\n\n---\n\n## 类别：艺术与文学 (🧑‍🎨)\n\n书籍、图书馆和创意工具。\n\n- MCP 开放图书馆 — https:\u002F\u002Fgithub.com\u002F8enSmith\u002Fmcp-open-library\n- Pollinations — https:\u002F\u002Fgithub.com\u002Fpollinations\u002Fmodel-context-protocol\n\n---\n\n## 类别：电子商务 (🛒)\n\n电商和市场平台集成。\n\n- Mercado Libre — https:\u002F\u002Fmcp.mercadolibre.com\u002F\n- Gunsnation — https:\u002F\u002Fgithub.com\u002FDynamicDeals\u002Fmcp-server-gunsnation\n- ShopSavvy (⭐) — https:\u002F\u002Fgithub.com\u002Fshopsavvy\u002Fshopsavvy-mcp-server\n\n---\n\n## 类别：数据平台 (📦)\n\n编排和数据管道平台。\n\n- Keboola (⭐) — https:\u002F\u002Fgithub.com\u002Fkeboola\u002Fkeboola-mcp-server\n\n---\n\n## 类别：机器人与物理 AI (🤖)\n\n机器人和设备控制。\n\n- Bagel — https:\u002F\u002Fgithub.com\u002FExtelligence-ai\u002Fbagel\n\n---\n\n# 社区服务器\n\n由社区维护的广泛 MCP 服务器集合（精选亮点——生态系统中还有更多）：\n\n- AllInOneMCP \u002F MCP Discovery \u002F MCP of MCPs — https:\u002F\u002Fgithub.com\u002Fparticlefuture\u002FMCPDiscovery\n- Airtable — https:\u002F\u002Fgithub.com\u002Fdomdomegg\u002Fairtable-mcp-server\n- Agentset — https:\u002F\u002Fgithub.com\u002Fagentset-ai\u002Fmcp-server\n- Alertmanager — https:\u002F\u002Fgithub.com\u002Fntk148v\u002Falertmanager-mcp-server\n- Algorand — https:\u002F\u002Fgithub.com\u002FGoPlausible\u002Falgorand-mcp\n- Android MCP — https:\u002F\u002Fgithub.com\u002Fminhalvp\u002Fandroid-mcp-server\n- AniList — https:\u002F\u002Fgithub.com\u002Fyuna0x0\u002Fanilist-mcp\n- AnkiConnect — https:\u002F\u002Fgithub.com\u002Fspacholski1225\u002Fanki-connect-mcp\n- APISIX-MCP — https:\u002F\u002Fgithub.com\u002Fapi7\u002Fapisix-mcp\n- Apple Notes — https:\u002F\u002Fgithub.com\u002FRafalWilinski\u002Fmcp-apple-notes\n- Apple Shortcuts — https:\u002F\u002Fgithub.com\u002Frecursechat\u002Fmcp-server-apple-shortcuts\n- AWS EC2 定价 — https:\u002F\u002Fgithub.com\u002Ftrilogy-group\u002Faws-pricing-mcp\n- Backup — https:\u002F\u002Fgithub.com\u002Fhexitex\u002FMCP-Backup-Server\n- Basecamp — https:\u002F\u002Fgithub.com\u002Fgeorgeantonopoulos\u002FBasecamp-MCP-Server\n- BigQuery 服务器 — https:\u002F\u002Fgithub.com\u002FLucasHild\u002Fmcp-server-bigquery 和 https:\u002F\u002Fgithub.com\u002Fergut\u002Fmcp-bigquery-server\n- Binary Ninja 集成 — https:\u002F\u002Fgithub.com\u002Ffosdickio\u002Fbinary_ninja_mcp\n- Bing Webmaster Tools — https:\u002F\u002Fgithub.com\u002Fisiahw1\u002Fmcp-server-bing-webmaster\n- Bluesky — https:\u002F\u002Fgithub.com\u002Fketuriosakys\u002Fbluesky-context-server\n- BloodHound-MCP — https:\u002F\u002Fgithub.com\u002FMorDavid\u002FBloodHound-MCP-AI\n- Box 社区服务器 — https:\u002F\u002Fgithub.com\u002Fhmk\u002Fbox-mcp-server\n- 浏览器 MCP — 针对本地和远程浏览器自动化的多种实现\n- bytebase\u002Fdbhub — https:\u002F\u002Fgithub.com\u002Fbytebase\u002Fdbhub\n- 计算器 — https:\u002F\u002Fgithub.com\u002Fgithejie\u002Fmcp-server-calculator\n- CalDAV MCP — https:\u002F\u002Fgithub.com\u002Fdominik1001\u002Fcaldav-mcp\n- 上下文感知及发现服务器（context-awesome、ref 等）\n- Currents — https:\u002F\u002Fgithub.com\u002Fcurrents-dev\u002Fcurrents-mcp\n- DINO-X、Digma、Driflyte、DreamFactory、Dash0、特定数据库服务器等众多项目。\n\n（有关社区服务器和链接的完整详细列表，请参阅 MCP 生态系统中社区和官方部分的汇总清单。本 README 汇总并整理了主要类别及多个示例项目；社区持续维护着快速增长的服务器集合——请查看相关仓库以获取最新信息。）\n\n---\n\n# 客户端\n\n用于消费 MCP 服务器的客户端和 UI 工具：\n\n- MBro — https:\u002F\u002Fgithub.com\u002Fsitbon\u002Fmagg\u002Fblob\u002Fmain\u002Fdocs\u002Fmbro.md\n- mcp-cli — https:\u002F\u002Fgithub.com\u002Fwong2\u002Fmcp-cli\n- mcp-client — https:\u002F\u002Fgithub.com\u002Frakesh-eltropy\u002Fmcp-client\n- MCP-Bridge — https:\u002F\u002Fgithub.com\u002FSecretiveShell\u002FMCP-Bridge\n- MCP-Chatbot (⭐ CLI) — https:\u002F\u002Fgithub.com\u002F3choff\u002Fmcp-chatbot\n- Zed — https:\u002F\u002Fgithub.com\u002Fzed-industries\u002Fzed\n- genkit — https:\u002F\u002Fgithub.com\u002Ffirebase\u002Fgenkit\n- Continue — https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue\n- gpt-computer-assistant — https:\u002F\u002Fgithub.com\u002FUpsonic\u002Fgpt-computer-assistant\n- MCP-Connect — https:\u002F\u002Fgithub.com\u002FEvalsOne\u002Fmcp-connect\n- codemirror-mcp — https:\u002F\u002Fgithub.com\u002Fmarimo-team\u002Fcodemirror-mcp\n- LibreChat — https:\u002F\u002Fwww.librechat.ai\u002F\n- mcphub.nvim — https:\u002F\u002Fgithub.com\u002Fravitemer\u002Fmcphub.nvim\n- Nerve — https:\u002F\u002Fgithub.com\u002Fevilsocket\u002Fnerve\n- Shinkai — http:\u002F\u002Fgithub.com\u002FdcSpark\u002Fshinkai-apps\u002F\n- mcps-playground — https:\u002F\u002Fmcpsplayground.com\u002Fchat\n\n---\n\n# 框架\n\n用于构建 MCP 服务器的框架和脚手架：\n\n- PraisonAI MCP — https:\u002F\u002Fgithub.com\u002FMervinPraison\u002Fpraisonai-mcp（包含 64 多种内置工具的 AI 代理框架，支持搜索、记忆、工作流和代码执行）\n  \n用于构建 MCP 服务器的框架和脚手架：\n\n- create-mcp-ts — https:\u002F\u002Fgithub.com\u002Fstephencme\u002Fcreate-mcp-ts\n- LiteMCP — https:\u002F\u002Fgithub.com\u002Fwong2\u002Flitemcp\n- mcp-framework — https:\u002F\u002Fgithub.com\u002FQuantGeekDev\u002Fmcp-framework\n- MCP Plexus — https:\u002F\u002Fgithub.com\u002Fsuper-i-tech\u002Fmcp_plexus\n- oatpp-mcp — https:\u002F\u002Fgithub.com\u002Foatpp\u002Foatpp-mcp\n- centralmind\u002Fgateway — https:\u002F\u002Fgithub.com\u002Fcentralmind\u002Fgateway\n- ToolHive — https:\u002F\u002Fgithub.com\u002FStacklok\u002Ftoolhive\n- fastMCP4J — https:\u002F\u002Fgithub.com\u002FtersePrompts\u002FfastMCP4J\n- 还有许多其他工具可简化服务器搭建、类型安全及安全最佳实践。\n\n---\n\n# 注意事项与建议\n\n- 始终在隔离环境中（容器或虚拟机）运行不受信或社区维护的 MCP 服务器，并限制对敏感资源的访问。\n- 生产环境中优先选择官方厂商维护的服务器（标有 ⭐）。\n- 请查看每个服务器仓库中的文档，了解传输协议（stdio、SSE、HTTP）、认证方式以及示例客户端信息。\n- 该生态系统发展迅速，不断有新的服务器、客户端和框架涌现。如果您维护某个服务器，请确保其仓库提供清晰的安装和安全指南。\n- [SkillFlow MCP 服务器](https:\u002F\u002Fgithub.com\u002Frafsilva85\u002Fskillflow-mcp-server) - 可以从 SkillFlow 市场搜索并发现 AI 代理技能，浏览超过 500 种带有信任度指标、分类和评分的技能。\n\n\u003Cdiv align=\"right\">\n    \u003Cb>\u003Ca href=\"#Contents\">↥ 返回顶部\u003C\u002Fa>\u003C\u002Fb>\n\u003C\u002Fdiv>\n\n## 贡献者\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers\u002Fgraphs\u002Fcontributors\">\n  \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FYuzeHao2023_Awesome-MCP-Servers_readme_fb1fbe8a91eb.png\" \u002F>\n\u003C\u002Fa>\n\n如果您觉得本项目有所帮助，请引用以下内容：\n\n```bib\n@misc{hao2025mcp,\n      title={Awesome-MCP-Servers}, \n      author={所有 Awesome-MCP-Servers 贡献者},\n      year={2025},\n      publisher = {GitHub},\n      journal = {GitHub 仓库},\n      howpublished = {\\url{https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers}},\n}\n```","# Awesome-MCP-Servers 快速上手指南\n\nAwesome-MCP-Servers 是一个社区驱动的精选列表，汇集了各种模型上下文协议（MCP）服务器、工具、框架和客户端。MCP 是一种开放协议，允许 AI 模型通过标准化的服务器实现安全地与本地及远程资源交互。\n\n本指南将帮助你快速了解 MCP 生态，并安装和使用相关的服务器工具。\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**: macOS, Linux 或 Windows (推荐 WSL2)\n*   **Node.js**: 版本 v18 或更高 (大多数 MCP 服务器基于 Node.js 构建)\n    *   检查版本：`node -v`\n    *   下载地址：[Node.js 官网](https:\u002F\u002Fnodejs.org\u002F)\n*   **npm \u002F npx**: 随 Node.js 自动安装，用于运行和安装 MCP 服务器。\n*   **MCP 客户端**: 你需要一个支持 MCP 的 AI 客户端来连接服务器。常见的客户端包括：\n    *   Claude Desktop\n    *   Cursor IDE\n    *   Zed Editor\n    *   Visual Studio Code (配合相应插件)\n    *   Cline (VS Code 插件)\n\n> **提示**：国内开发者若遇到 npm 下载缓慢，可配置淘宝镜像源：\n> `npm config set registry https:\u002F\u002Fregistry.npmmirror.com`\n\n## 安装步骤\n\nMCP 服务器通常不需要全局安装，而是通过配置文件让客户端在运行时调用。以下是通用的配置流程：\n\n### 1. 选择并获取服务器\n从 [Awesome-MCP-Servers 列表](https:\u002F\u002Fgithub.com\u002FYuzeHao2023\u002FAwesome-MCP-Servers) 中找到你需要的服务器（例如：文件系统、数据库、GitHub 集成等）。大多数服务器可以通过 `npx` 直接运行，或者通过 `npm install` 安装到本地项目。\n\n### 2. 配置客户端\n不同的客户端配置方式略有不同，核心是告诉客户端如何启动该 MCP 服务器。\n\n#### 方案 A: 使用 Claude Desktop (config.json)\n找到 Claude 的配置文件：\n*   **macOS**: `~\u002FLibrary\u002FApplication Support\u002FClaude\u002Fclaude_desktop_config.json`\n*   **Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\n\n编辑文件，添加服务器配置。以官方提供的 **FileSystem** 服务器为例：\n\n```json\n{\n  \"mcpServers\": {\n    \"filesystem\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"@modelcontextprotocol\u002Fserver-filesystem\",\n        \"\u002Fpath\u002Fto\u002Fallowed\u002Fdirectory\" \n      ]\n    }\n  }\n}\n```\n*注意：将 `\u002Fpath\u002Fto\u002Fallowed\u002Fdirectory` 替换为你允许 AI 访问的实际本地路径。*\n\n#### 方案 B: 使用 Cursor \u002F VS Code (settings.json)\n在 `.vscode\u002Fsettings.json` 或 Cursor 的设置界面中配置：\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"filesystem\": {\n        \"command\": \"npx\",\n        \"args\": [\"-y\", \"@modelcontextprotocol\u002Fserver-filesystem\", \"\u002Fpath\u002Fto\u002Fallowed\u002Fdirectory\"]\n      }\n    }\n  }\n}\n```\n\n### 3. 使用管理工具（可选但推荐）\n为了简化安装和管理，你可以使用社区开发的工具，如 `mcp-get`：\n\n```bash\n# 安装 mcp-get 工具\nnpm install -g mcp-get\n\n# 使用 mcp-get 发现并安装服务器 (示例)\nmcp-get install filesystem\n```\n*该工具会自动帮你更新客户端的配置文件。*\n\n## 基本使用\n\n配置完成后，重启你的 AI 客户端（如 Claude Desktop 或 Cursor）。\n\n### 最简单的使用示例：读取本地文件\n\n假设你已按照上述步骤配置了 **FileSystem** 服务器，并授权访问了当前目录。\n\n1.  **打开客户端**：启动 Claude Desktop 或在 Cursor 中打开聊天窗口。\n2.  **自然语言提问**：直接在对话框中输入指令，无需编写代码。\n    *   *用户*: \"请读取当前目录下的 `README.md` 文件，并总结它的主要内容。\"\n    *   *用户*: \"列出 `\u002FUsers\u002Fmyname\u002FDocuments` 目录下所有的 JSON 文件。\"\n3.  **观察执行**：\n    *   客户端会识别意图，自动调用配置好的 MCP 服务器。\n    *   服务器会在后台执行文件读取操作（在沙箱或指定权限内）。\n    *   AI 模型将获得文件内容，并生成总结或列表返回给你。\n\n### 验证连接\n如果不确定服务器是否连接成功，可以在聊天中询问：\n*   \"你现在可以使用哪些工具？\"\n*   \"你能访问我的文件系统吗？\"\n\n如果配置正确，AI 会列出可用的 MCP 工具（如 `read_file`, `list_directory` 等），并能够执行相关任务。\n\n---\n**⚠️ 安全警告**：\nMCP 服务器拥有访问你系统资源的权限。请务必：\n1.  仅授权必要的目录路径。\n2.  优先使用官方标记为 ⭐ 的实现。\n3.  不要随意运行来源不明的 MCP 服务器配置。","某全栈开发者需要让本地 AI 助手同时读取项目代码、查询生产数据库并监控服务器日志，以快速定位一个复杂的线上故障。\n\n### 没有 Awesome-MCP-Servers 时\n- **连接开发耗时**：需手动编写大量胶水代码来打通 AI 与文件系统、SQL 数据库及 SSH 终端的接口，耗费数小时配置环境。\n- **安全风险不可控**：自行编写的脚本缺乏统一的安全沙箱机制，极易因权限过大导致敏感数据泄露或被恶意注入攻击。\n- **资源查找困难**：面对分散在各处的开源插件，难以甄别哪些支持标准协议、哪些已停止维护，试错成本极高。\n- **协作标准缺失**：团队成员各自为战，使用的自定义接口不统一，导致 AI 助手在不同人的电脑上表现不一致。\n\n### 使用 Awesome-MCP-Servers 后\n- **即插即用集成**：直接从清单中选取经过验证的文件系统、PostgreSQL 和系统监控 MCP 服务，几分钟内即可完成标准化配置。\n- **安全最佳实践**：采纳列表中标记为官方推荐（⭐）的实现方案，天然具备最小权限控制和隔离运行建议，大幅降低安全隐患。\n- **海量精选资源**：利用其收录的约 6000 个条目及分类索引，迅速找到匹配特定云平台和开发工具的成熟服务端实现。\n- **生态互联互通**：基于统一的 Model Context Protocol 标准，确保 AI 助手在 Claude Desktop、Cursor 或 VS Code 等不同客户端间无缝切换。\n\nAwesome-MCP-Servers 通过提供标准化、安全且丰富的服务端生态，将开发者从繁琐的底层对接中解放出来，让 AI 真正安全高效地成为操作系统的“超级副驾驶”。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FYuzeHao2023_Awesome-MCP-Servers_ea64868a.png","YuzeHao2023","Halamji","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FYuzeHao2023_d5c48c16.png","AI4S Developer, ex-ISCAS OSPP @huawei  | OSCP @Antgroup",null,"China","https:\u002F\u002Fgithub.com\u002FYuzeHao2023",1039,124,"2026-04-08T06:50:56","Apache-2.0","","未说明",{"notes":87,"python":85,"dependencies":88},"Awesome-MCP-Servers 本身是一个 MCP 服务器、工具和框架的精选列表（目录），而非单一的可执行软件或模型，因此 README 中未提供统一的运行环境需求。具体的操作系统、依赖库、内存及 GPU 要求取决于用户选择安装的特定 MCP 服务器实现（例如文件系统、数据库或云服务等不同类别的工具）。部分服务器可能需要 Docker、Node.js 或特定的 API Key，建议查阅列表中各个具体项目的仓库文档以获取详细安装指南。",[],[35,14],[91,92,93,94,95],"awesome","awesome-list","llm","mcp","mcp-server","2026-03-27T02:49:30.150509","2026-04-12T16:45:25.925429",[],[]]