
awesome-mcp-collection
Updated todayby JustInCache
🔌 Awesome MCP Servers
The most comprehensive, curated collection of Model Context Protocol (MCP) servers.
Unlike other lists, we focus on quality over quantity — featuring battle-tested, actively maintained servers with real-world configurations and developer-focused organization.
Quick Start • Official Servers • By Category • By Stack • Configurations • Contributing
📖 What is MCP?
Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external tools, data sources, and services. Think of it as a universal plugin system for AI — allowing Claude, Cursor, VS Code Copilot, and other AI tools to interact with your development environment, databases, APIs, and more.
Why MCP Matters
| Before MCP | With MCP |
|---|---|
| Copy-paste context manually | AI reads your codebase directly |
| Switch between tools constantly | Unified interface for everything |
| Limited to training data | Real-time access to live data |
| Generic responses | Context-aware, personalized help |
⚡ Quick Start
1. Choose Your Client
| Client | Platform | Setup Guide |
|---|---|---|
| Claude Desktop | macOS, Windows | Official Guide |
| Cursor | macOS, Windows, Linux | Cursor MCP Docs |
| VS Code + Continue | All platforms | Continue Extension |
| Windsurf | macOS, Windows, Linux | Windsurf Docs |
2. Install Your First Server
# Using npx (recommended for TypeScript servers)
npx -y @modelcontextprotocol/server-filesystem /path/to/allowed/directory
# Using uvx (recommended for Python servers)
uvx mcp-server-git --repository /path/to/repo
3. Configure Your Client
Add to your client's configuration file:
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/you/projects"]
}
}
}
📁 Ready-to-use configs: Check our configs/ directory for complete setups by use case.
🎖️ Official Servers
These are reference implementations maintained by Anthropic and the MCP team. Start here.
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