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Showing content from https://github.com/wojtyniak/mcp-mcp below:

wojtyniak/mcp-mcp: Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol

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.

🗃️ 1,709+ MCP Servers Available

MCP-MCP provides access to a comprehensive database aggregated from multiple curated sources, including:

Official MCP Servers (modelcontextprotocol/servers)
Community Collections (Punkpeye & Appcypher awesome lists)
Intelligent Deduplication ensures no duplicates across sources

The database is automatically updated every 3 hours with the latest servers from the community.

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?

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

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

{
  "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

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?"

Python 3.13+
uv package manager
direnv (optional, for automatic environment setup)
just (optional, for convenient development commands)

# 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

Install via uvx (for testing)

For testing the installed package:

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

Development Commands (with justfile)

This project includes a justfile for common development tasks:

# List all available commands
just help

# Development with auto-reload
just dev      # STDIO mode with file watching
just dev-http # HTTP mode with file watching

# Running without auto-reload
just run-stdio # STDIO mode
just run-http  # HTTP mode

# Testing
just test             # Unit tests only
just test-integration # Include GitHub integration tests

# Building and publishing
just build           # Build package
just publish-test    # Publish to Test PyPI
just publish-prod    # Publish to Production PyPI

# Utilities
just version # Show version
just clean   # Clean build artifacts

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
# OR with justfile:
just run-http

# With auto-reload during development
just dev-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
# OR with justfile:
just run-stdio

# With auto-reload during development
just dev

# Build package
uv build
# OR with justfile:
just build

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

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

# Run all tests (unit + integration)
uv run pytest
# OR with justfile:
just test

# Run only unit tests (fast, no network)
uv run pytest db/ -v
# OR with justfile:
just test-unit

# Run only integration/e2e tests
uv run pytest tests/ -v
# OR with justfile:
just test-integration

# Run GitHub integration tests (optional, requires network)
MCP_MCP_TEST_GITHUB_INTEGRATION=1 uv run pytest tests/
# OR with justfile:
just test-integration-github

# Run all tests including GitHub integration
MCP_MCP_TEST_GITHUB_INTEGRATION=1 uv run pytest
# OR with justfile:
just test-all

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

Test Structure:

Unit Tests: Located in db/ alongside the code they test (Go-style)
Integration/E2E Tests: Located in tests/ directory

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 1,709+ servers.

Current Status: MVP Complete ✅

✅ Multi-source discovery (3 curated sources, 1,709+ unique servers)
✅ Semantic search with precomputed embeddings for sub-second response
✅ Production distribution via uvx/pipx with automated releases
✅ Security hardened with origin validation middleware
✅ Comprehensive test coverage (65+ tests)
✅ Complete documentation and development workflow

Future Enhancements (Beyond MVP)

Docker integration for automatic server containerization
MCP protocol proxy for seamless server execution
GitHub API integration for live server discovery
Server lifecycle management and cleanup
Private registry support
Dependency resolution
Performance monitoring
Web UI for server management

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

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

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

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

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