This repository curates a comprehensive list of Model Context Protocol (MCP) servers, aiming to empower AI models with secure access to diverse local and remote resources. It targets developers and researchers building AI agents and applications that require contextual data and functionality, offering a centralized catalog of integrations for file systems, databases, cloud services, and more.

How It Works

MCP is an open protocol designed for secure AI-model-to-resource interaction. This list showcases various server implementations that adhere to this protocol, acting as bridges between AI clients (like Claude Desktop, Zed Editor, Sourcegraph Cody) and specific services. The advantage lies in standardization, allowing different AI clients to leverage a wide array of functionalities through a common interface, promoting interoperability and extensibility.

Quick Start & Requirements

This repository is a curated list, not a runnable application. To use specific MCP servers, refer to their individual project documentation. The MCP protocol itself is implemented across various languages, with notable examples in Go and TypeScript.

Highlighted Details

• Extensive categorization of MCP servers covering over 30 domains, from file systems and databases to cloud platforms and social media.
• Includes official protocol implementations (marked with ⭐) and multiple implementations for popular services.
• Features integrations with popular AI clients like Claude Desktop, Cursor, and Continue.
• Provides links to documentation and demos for many listed MCP servers.

Maintenance & Community

The project is maintained by Stephen Akinyemi and welcomes contributions. Links to contribution guidelines are provided.

Licensing & Compatibility

The work is waived to public domain (CC0) to the extent possible by law. Individual MCP server implementations will have their own licenses.

Limitations & Caveats

This is a curated list and does not provide a unified interface or management tool for all listed servers. Users must consult individual server documentation for installation, configuration, and usage. Some servers may be experimental or require specific dependencies.