Awesome MCP Servers

What is Awesome MCP Servers?

A curated, community-maintained list of Model Context Protocol (MCP) server implementations. It organizes servers by category, programming language, scope (local/cloud), and operating system, and provides links to tutorials, client tools, and community channels.

How to use Awesome MCP Servers?

Browse the categories and legend to find MCP servers for your needs. The repository now syncs with a web‑based directory at glama.ai/mcp/servers. Each server entry links to its source code and includes scope and language badges.

Key features of Awesome MCP Servers

• 📋 Curated categories: Aggregators, databases, browser automation, developer tools, and more.
• 🏷️ Legend: Official implementations, programming languages, scope (local/cloud), and OS support.
• 🌐 Web‑based directory synced with the repository.
• 🧑‍🤝‍🧑 Community Discord, Reddit, and tutorial links.
• ✅ Regularly updated with new servers and a “Tips & Tricks” section.

Use cases of Awesome MCP Servers

• Discover MCP servers for file access, database connections, or API integrations.
• Compare servers by language, scope, and platform before writing your own.
• Find official or community‑built servers for specific tools like browsers, finance, or media.
• Use as a reference when building MCP clients or new server implementations.

FAQ from Awesome MCP Servers

What is the Model Context Protocol (MCP)?

MCP is an open protocol that lets AI models securely interact with local and remote resources through standardized server implementations.

How can I contribute a new server?

Fork the repository and add your server to the appropriate category following the existing formatting and legend guidelines.

Where can I find MCP clients?

Check awesome-mcp-clients and glama.ai/mcp/clients. The list also mentions Glama Chat as a multi‑modal AI client with MCP support.

What do the legend badges mean?

🎖️ = official implementation; programming languages: 🐍 Python, 📇 TypeScript/JavaScript, 🏎️ Go, 🦀 Rust, #️⃣ C#, ☕ Java; scope: ☁️ Cloud Service, 🏠 Local Service; OS: 🍎 macOS, 🪟 Windows, 🐧 Linux.

Is there a web‑based directory?

Yes, a web‑based directory is available at glama.ai/mcp/servers and is synced with the repository.