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!IMPORTANT] Read [The State of MCP in 2025 report.
!IMPORTANT] [Awesome MCP Servers web directory.
A curated list of awesome Model Context Protocol (MCP) servers.
What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Clients
Checkout awesome-mcp-clients and glama.ai/mcp/clients.
!TIP] [Glama Chat is a multi-modal AI client with MCP support & AI gateway.
Tutorials
Community
Legend
- 🎖️ – official implementation
- programming language
- 🐍 – Python codebase
- 📇 – TypeScript (or JavaScript) codebase
- 🏎️ – Go codebase
- 🦀 – Rust codebase
- #️⃣ - C# Codebase
- ☕ - Java codebase
- 🌊 – C/C++ codebase
- 💎 - Ruby codebase
- scope
- ☁️ - Cloud Service
- 🏠 - Local Service
- 📟 - Embedded Systems
- operating system
- 🍎 – For macOS
- 🪟 – For Windows
- 🐧 - For Linux
[!NOTE] Confused about Local 🏠 vs Cloud ☁️? Use local when MCP server is talking to a locally installed software, e.g. taking control over Chrome browser. Use cloud when MCP server is talking to remote APIs, e.g. weather API.
Server Implementations
!NOTE] We now have a [web-based directory that is synced with the repository.
Don't lose this
Three weeks from now, you'll want Awesome Mcp Servers again. Will you remember where to find it?
Save it to your library and the next time you need Awesome Mcp Servers, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. A collection of MCP servers. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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