truehaiq/awesome-mcp

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一套全面的模型上下文协议（MCP）服务器集合，通过标准化集成赋能AI模型增强能力。

入门指南 • 浏览服务器 • 服务器管理

什么是MCP？

本质上，**模型上下文协议（MCP）**是一种协议，旨在通过简化LLM与外部工具和服务的集成，增强其功能。MCP不再手动连接不同的API和工具，而是作为一个统一层，简化流程，使LLM更具能力和可扩展性。

通过为AI模型提供与本地和远程服务交互的标准化方式，MCP实现了与以下服务的无缝集成：

• 🔐 安全文件系统访问
• 📊 数据库连接
• 🌐 API 集成
• 🛠️ 开发工具
• 📱 应用服务
• 还有更多…

本地🏠还是云端☁️？

• 当MCP服务器与系统本地安装的软件通信时，使用本地。例如，与Chrome浏览器交互或访问电脑文件。

• 当MCP服务器连接远程服务或API时，使用云端。

What is MCP?

In essence, Model Context Protocol (MCP) is a protocol designed to make LLMs more powerful by simplifying their integration with external tools and services. Instead of manually connecting different APIs and tools, MCP serves as a unified layer that simplifies the process, making LLMs more capable and scalable.

By providing a standardized way for AI models to interact with both local and remote services, MCP enables seamless integration with:

• 🔐 Secure file system access
• 📊 Database connections
• 🌐 API integrations
• 🛠️ Development tools
• 📱 Application services
• And much more…

Local 🏠 vs Cloud ☁️ ?

• Use Local when the MCP server communicates with software installed locally on the system. For example, interacting with the Chrome browser or accessing files on your computer.

• Use Cloud when the MCP server connects to remote services or APIs. For instance, querying a database hosted on a cloud server or fetching data from an external API like a social media platform or a stock market feed.

About this repo

This repository serves as a comprehensive, community-curated index of Model Context Protocol (MCP) servers and tools. Our goal is to help developers, AI enthusiasts, and organizations discover and leverage the growing ecosystem of MCP integrations.

Key features:

• 📚 Categorized listings of MCP servers across various domains
• ⭐ Highlighted premium and official implementations
• 🔍 Easy-to-navigate structure with clear categories
• 🤝 Active community of contributors and maintainers

Each listed server is carefully reviewed to ensure it provides value to the MCP ecosystem. While this is a community-driven list, we work closely with official implementations (like those from modelcontextprotocol/servers) along with high-quality community-contributed servers that extend AI capabilities in meaningful ways.

MCP Servers List

• 🗄️ - Databases
• 🌐 - Web Automation
• 💻 - Development Tools
• 📂 - File Systems
• 📝 - Note Taking
• 🗺️ - Geography
• 📢 - Marketing
• 🔄 - Version Control
• ⚙️ - Workflow Automation
• 🤖 - System Automation
• 📱 - Social Media