MCP-MCP: Meta-MCP Server

MCP-MCP: An MCP server that helps discover other MCP servers

MCP-MCP is a Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol (MCP). When an AI assistant needs a capability that isn't currently available, it can ask MCP-MCP to discover and suggest appropriate MCP servers from a comprehensive database of over a thousand servers aggregated from multiple curated sources.

Think of it as a "phone book" for MCP servers - one tool to find all other tools.

Motivation

Agents Just Wanna Have Tools

Agents know what they need: AI assistants can clearly articulate requirements like "check domain availability" or "get weather data"
Web search isn't always enough: Generic search results don't always provide realtime data
CLI tools require setup: Many tools need complex installation, configuration, and API keys - agents have to repeat this setup every single time they need to complete a task
MCP servers are scattered: Great tools exist but discovering them requires manual research across GitHub, forums, and documentation

Why make agents (and users) hunt for tools when we can bring the tools to them?

Quick Start

Install via uvx (Recommended)

uvx mcp-mcp

This installs and runs the MCP-MCP server directly via uvx.

Claude Desktop Configuration

Add MCP-MCP to your Claude Desktop configuration file:

Configuration File Location:

macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "mcp-mcp": {
      "command": "uvx",
      "args": ["mcp-mcp"]
    }
  }
}

Alternative with pipx:

{
  "mcpServers": {
    "mcp-mcp": {
      "command": "mcp-mcp"
    }
  }
}

Claude Code Configuration

Add MCP-MCP to your Claude Code configuration file:

claude mcp add mcp-mcp uvx mcp-mcp

Usage Examples

Once configured, you can ask Claude Desktop to discover MCP servers using natural language:

"Find me an MCP server for weather data"
"I need a server for checking domain availability"
"Search for MCP servers related to stock market data"
"What MCP servers are available for web scraping?"

Development

Prerequisites

Python 3.13+
uv package manager
direnv (optional, for automatic environment setup)

Setup

# Clone the repository
git clone https://github.com/your-username/mcp-mcp.git
cd mcp-mcp

# Install dependencies
uv sync

# Run tests
uv run pytest

# Run the server
uv run main.py

Development Mode

For development and testing, use HTTP transport (easier to stop with Ctrl+C):

# HTTP mode (accessible at http://localhost:8000)
uv run main.py --http

# Custom host/port
uv run main.py --http --host 0.0.0.0 --port 3000

# STDIO mode (for MCP clients like Claude Desktop)
uv run main.py  # Note: To stop STDIO mode, use Ctrl+D (EOF), not Ctrl+C

Building

# Build package
uv build

# Test local installation
uvx --from ./dist/mcp_mcp-0.1.0-py3-none-any.whl mcp-mcp

Command Line Options

mcp-mcp --help

Option	Description	Default
`--transport {stdio,http}`	Transport method	`stdio`
`--http`	Use HTTP transport	-
`--host HOST`	Host for HTTP transport	`localhost`
`--port PORT`	Port for HTTP transport	`8000`

Testing

# Run all unit tests (fast, no network)
uv run pytest

# Run specific module tests
uv run pytest db/ -v

# Run GitHub integration tests (optional, requires network)
MCP_MCP_TEST_GITHUB_INTEGRATION=1 uv run pytest db/test_precomputed_data_workflow.py::test_real_github_download -v -s

# Run with coverage
uv run pytest --cov=db

Integration Tests: Set MCP_MCP_TEST_GITHUB_INTEGRATION=1 to test real GitHub downloads and verify the complete first-user onboarding experience. These tests ensure users get fast startup (< 5 seconds) with 1296+ servers.

Roadmap

Current Status: PoC Complete

✅ Multi-source discovery (3 curated MCP server lists)
✅ Semantic search with precomputed embeddings
✅ Configuration string generation
✅ FastMCP integration

Next: MVP Foundation

Multi-source discovery (GitHub API)
Docker integration for server execution
MCP protocol proxy
Server lifecycle management

Future Enhancements

Private registry support
Dependency resolution
Performance monitoring
Web UI for server management

Contributing

We welcome contributions! Please see our development setup and:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Development Guidelines

Follow Python 3.13+ best practices
Add tests for new functionality
Update documentation as needed
Use semantic commit messages

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Model Context Protocol team at Anthropic
Open source MCP server maintainers and contributors
MCP Server Lists:

Made with ❤️ for the MCP ecosystem

Meta MCP