This repository is a curated list of Model Context Protocol (MCP) servers, serving as a comprehensive catalog for developers and researchers exploring AI agent capabilities. It showcases a vast array of integrations, enabling AI models to interact with diverse services, databases, and platforms, thereby extending their functionality and utility.

How It Works

MCP defines a standardized protocol for AI models to discover, understand, and invoke external tools or services. This list categorizes MCP servers by their primary function, such as data access, code execution, web interaction, or platform integration. The advantage lies in the interoperability and extensibility it provides, allowing AI agents to seamlessly leverage a wide range of real-world data and functionalities.

Quick Start & Requirements

This repository is a list, not a runnable application. To use MCP servers, you would typically need an MCP-compatible client (e.g., Claude Desktop, Cursor) and the specific server implementation you wish to integrate. Links to individual server implementations and client tools are provided within the README.

Highlighted Details

• Extensive catalog featuring hundreds of official and community-developed MCP servers.
• Covers a broad spectrum of domains: databases, cloud services, Git, search engines, productivity tools, and more.
• Includes client implementations (CLI, IDE extensions) and frameworks for building new MCP servers.
• Demonstrates the power of MCP for AI agent development and integration.

Maintenance & Community

The list is curated by "wong2" and includes contributions from numerous individuals and organizations, indicating active community involvement. Links to related client projects and frameworks are provided for further exploration.

Licensing & Compatibility

The licensing for individual MCP server implementations varies, as this repository is a curated list. Users must consult the specific licenses of each server they intend to use. Compatibility is generally focused on MCP-compliant AI clients.

Limitations & Caveats

As a curated list, this repository does not provide direct functionality. Users must locate, install, and configure individual MCP server implementations, which may have their own dependencies and setup requirements. The sheer volume of listed servers means some may be less actively maintained than others.