This repository curates a comprehensive list of Model Context Protocol (MCP) servers, designed to enable AI models to securely interact with local and remote resources. It targets developers and AI researchers looking to extend AI capabilities through standardized server implementations for file access, database connections, API integrations, and more. The primary benefit is a centralized, categorized resource for discovering and evaluating MCP server implementations across a vast array of domains.

How It Works

The project functions as a curated directory, categorizing MCP servers by their functionality and target domain. Each entry includes a brief description, the programming language used (Python, TypeScript, Go, Rust, C#, Java), and its operational scope (Cloud, Local, Embedded). This structured approach allows users to quickly identify relevant MCP servers for their specific needs, facilitating the integration of diverse tools and services into AI workflows.

Quick Start & Requirements

This repository is a list, not a runnable application. To use any of the listed MCP servers, refer to their individual project pages for installation and usage instructions.

Highlighted Details

• Extensive categorization covering over 50 domains, from Databases and Cloud Platforms to Security and Social Media.
• Clear indication of programming language and operational scope (Local/Cloud/Embedded) for each listed server.
• Links to official documentation, community resources (Reddit, Discord), and related client projects.
• Includes a "Legend" for easily deciphering project icons and their meanings.

Maintenance & Community

The project is maintained by punkpeye and appears to be community-driven, with numerous contributors listed implicitly through the linked repositories. Community interaction is encouraged via a Discord server and a dedicated Reddit community.

Licensing & Compatibility

The licensing of individual MCP servers varies, as each entry points to a separate GitHub repository. Users must consult the license of each specific server they intend to use. Compatibility for commercial use depends on the individual licenses of the listed projects.

Limitations & Caveats

As a curated list, this repository does not provide direct functionality. The quality, maintenance status, and security of individual MCP servers are dependent on their respective maintainers. Users must independently vet each server for their specific requirements.