README.md•8.72 kB
# MCP-MCP: Meta-MCP Server
[](https://github.com/wojtyniak/mcp-mcp/releases/latest)
[](https://www.python.org/downloads/)
[](LICENSE)
[](https://github.com/wojtyniak/mcp-mcp/actions/workflows/update-data.yml)
[](https://pypi.org/project/mcp-mcp/)
**MCP-MCP** is a Meta-MCP Server that acts as a tool discovery and provisioning service for the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/). 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.
## 🗃️ **1,868+ 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.
## 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
## 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:
```json
{
"mcpServers": {
"mcp-mcp": {
"command": "uvx",
"args": ["mcp-mcp"]
}
}
}
```
### Alternative with pipx:
```json
{
"mcpServers": {
"mcp-mcp": {
"command": "mcp-mcp"
}
}
}
```
## Claude Code Configuration
Add MCP-MCP to your Claude Code configuration file:
```bash
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](https://docs.astral.sh/uv/) package manager
- [direnv](https://direnv.net/) (optional, for automatic environment setup)
- [just](https://just.systems/) (optional, for convenient development commands)
### Setup
```bash
# 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:
```bash
uvx mcp-mcp
```
This installs and runs the MCP-MCP server directly via uvx.
### Development Commands (with justfile)
This project includes a `justfile` for common development tasks:
```bash
# 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
```
### Development Mode
For development and testing, use HTTP transport (easier to stop with Ctrl+C):
```bash
# 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
```
### Building
```bash
# 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
```
## Command Line Options
```bash
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
```bash
# 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 1,868+ servers.
## Roadmap
### Current Status: MVP Complete ✅
- ✅ Multi-source discovery (3 curated sources, 1,868+ 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
## Contributing
We welcome contributions! Please see our [development setup](#development) and:
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. 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](LICENSE) file for details.
## Acknowledgments
- [Model Context Protocol](https://modelcontextprotocol.io/) team at Anthropic
- Open source MCP server maintainers and contributors
- MCP Server Lists:
- [Official MCP Servers](https://github.com/modelcontextprotocol/servers)
- [Punkpeye's Awesome MCP Servers](https://github.com/punkpeye/awesome-mcp-servers)
- [Appcypher's Awesome MCP Servers](https://github.com/appcypher/awesome-mcp-servers)
---
**Made with ❤️ for the MCP ecosystem**