This repository is a curated list of open-source projects that implement the Model Context Protocol (MCP). It serves as a central resource for developers and researchers looking to integrate LLMs with various external tools, services, and data sources, enabling AI agents to interact with the real world.

How It Works

The list categorizes MCP server implementations by domain, such as Browser Control, Cloud Platforms, Databases, and Developer Tools. Each entry links to a specific GitHub repository that provides an MCP server, allowing LLMs to leverage functionalities like web browsing, database querying, cloud infrastructure management, and more. This structured approach facilitates discovery and adoption of MCP-enabled tools.

Quick Start & Requirements

• Installation: Varies by individual project; typically involves cloning a repository and following its specific setup instructions (e.g., pip install, Docker).
• Prerequisites: Depend on the specific MCP server, but commonly include Python, Node.js, Docker, and specific SDKs or API keys for the services being integrated.
• Resources: Setup time and resource requirements are project-specific.

Highlighted Details

• Extensive coverage across numerous domains, including databases (SQL, NoSQL, Vector), cloud platforms (AWS, GCP, Azure), developer tools (Docker, OpenAPI, IDEs), and communication platforms (Slack, Gmail).
• Many entries are part of the official modelcontextprotocol organization, indicating core or widely adopted implementations.
• Includes specialized servers for niche applications like AI-driven video editing, Kubernetes management, and cryptocurrency tracking.

Maintenance & Community

• The list is described as "continuously updating and improving."
• Features contributions from various individuals and organizations, including modelcontextprotocol, cloudflare, JetBrains, and kukapay.
• Links to community resources like Discord/Slack are not explicitly provided in the README.

Licensing & Compatibility

• Licenses vary by individual project, as this is a list of other repositories. Users must check the license of each specific MCP server they intend to use.
• Compatibility for commercial use or closed-source linking depends entirely on the licenses of the individual projects listed.

Limitations & Caveats

The README is a directory of projects, not a single functional tool. Users must evaluate and integrate each listed MCP server individually, and the maintenance status or quality of each project is not guaranteed by this list.