# MCP Recommender
A smart MCP (Model Context Protocol) server that provides intelligent recommendations for other MCP servers based on your development needs.
## Features
- 🔍 **Smart Search**: Find MCP servers using natural language queries
- 📊 **Rich Database**: Access to 874+ curated MCP servers across 36+ categories
- 🎯 **Intelligent Matching**: Advanced scoring algorithm for relevant recommendations
- 🏷️ **Category Filtering**: Filter by specific categories and programming languages
- 🚀 **Easy Integration**: Simple setup with uv package manager
- 🔧 **Multiple Interfaces**: Support for both CLI and MCP client integration
## Installation
### Using uv (Recommended)
```bash
# Clone the repository
git clone https://github.com/mcp-team/mcp-recommender.git
cd mcp-recommender
# Install with uv
uv sync
# Test the installation
uv run -m mcp_recommender --test
```
### Using pip
```bash
pip install mcp-recommender
```
## Usage
### Command Line Interface
```bash
# Test mode - verify installation and see sample recommendations
uv run -m mcp_recommender --test
# Server mode - start the MCP server
uv run -m mcp_recommender --server
# Debug mode - detailed diagnostic information
uv run -m mcp_recommender --debug
```
### MCP Client Integration
Add to your MCP client configuration:
```json
{
"mcpServers": {
"mcp-recommender": {
"isActive": true,
"name": "mcp-recommender",
"type": "stdio",
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-recommender",
"run",
"-m",
"mcp_recommender"
]
}
}
}
```
### Available Tools
Once integrated, you can use these tools in your MCP client:
#### `recommend_mcp`
Get intelligent MCP server recommendations based on your needs.
**Parameters:**
- `query` (string): Description of functionality you need
- `limit` (integer, optional): Maximum number of recommendations (default: 5)
- `category` (string, optional): Filter by specific category
- `language` (string, optional): Filter by programming language
**Example:**
```
recommend_mcp("database operations with SQLite", limit=3)
```
#### `list_categories`
List all available MCP categories with counts.
#### `get_functional_keywords`
Show functional keyword mappings for better search results.
## Categories
The recommender covers 36+ categories including:
- **Developer Tools** (120+ servers)
- **Databases** (79+ servers)
- **Search & Data Extraction** (69+ servers)
- **Cloud Platforms** (39+ servers)
- **Security** (39+ servers)
- **Communication** (36+ servers)
- **Browser Automation** (23+ servers)
- **Knowledge & Memory** (22+ servers)
- And many more...
## Development
### Setup Development Environment
```bash
# Clone and setup
git clone https://github.com/mcp-team/mcp-recommender.git
cd mcp-recommender
# Install development dependencies
uv sync --dev
# Run tests
uv run pytest
# Build package
uv build
```
### Project Structure
```
mcp-recommender/
├── mcp_recommender/ # Main package
│ ├── __init__.py
│ ├── __main__.py # CLI entry point
│ ├── server.py # MCP server implementation
│ └── data/ # MCP database and keywords
│ ├── mcp_database.json
│ └── functional_keywords.json
├── tests/ # Test suite
├── LICENSE # MIT License
├── README.md # This file
└── pyproject.toml # Package configuration
```
## Contributing
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
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- Built with [FastMCP](https://github.com/jlowin/fastmcp) framework
- MCP database curated from the awesome MCP community
- Powered by the [Model Context Protocol](https://modelcontextprotocol.io/)
## Support
- 📖 [Documentation](https://github.com/mcp-team/mcp-recommender#readme)
- 🐛 [Issue Tracker](https://github.com/mcp-team/mcp-recommender/issues)
- 💬 [Discussions](https://github.com/mcp-team/mcp-recommender/discussions)
---
Made with ❤️ by the MCP community
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"description": "# MCP Recommender\n\nA smart MCP (Model Context Protocol) server that provides intelligent recommendations for other MCP servers based on your development needs.\n\n## Features\n\n- \ud83d\udd0d **Smart Search**: Find MCP servers using natural language queries\n- \ud83d\udcca **Rich Database**: Access to 874+ curated MCP servers across 36+ categories\n- \ud83c\udfaf **Intelligent Matching**: Advanced scoring algorithm for relevant recommendations\n- \ud83c\udff7\ufe0f **Category Filtering**: Filter by specific categories and programming languages\n- \ud83d\ude80 **Easy Integration**: Simple setup with uv package manager\n- \ud83d\udd27 **Multiple Interfaces**: Support for both CLI and MCP client integration\n\n## Installation\n\n### Using uv (Recommended)\n\n```bash\n# Clone the repository\ngit clone https://github.com/mcp-team/mcp-recommender.git\ncd mcp-recommender\n\n# Install with uv\nuv sync\n\n# Test the installation\nuv run -m mcp_recommender --test\n```\n\n### Using pip\n\n```bash\npip install mcp-recommender\n```\n\n## Usage\n\n### Command Line Interface\n\n```bash\n# Test mode - verify installation and see sample recommendations\nuv run -m mcp_recommender --test\n\n# Server mode - start the MCP server\nuv run -m mcp_recommender --server\n\n# Debug mode - detailed diagnostic information\nuv run -m mcp_recommender --debug\n```\n\n### MCP Client Integration\n\nAdd to your MCP client configuration:\n\n```json\n{\n \"mcpServers\": {\n \"mcp-recommender\": {\n \"isActive\": true,\n \"name\": \"mcp-recommender\",\n \"type\": \"stdio\",\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"/path/to/mcp-recommender\",\n \"run\",\n \"-m\",\n \"mcp_recommender\"\n ]\n }\n }\n}\n```\n\n### Available Tools\n\nOnce integrated, you can use these tools in your MCP client:\n\n#### `recommend_mcp`\nGet intelligent MCP server recommendations based on your needs.\n\n**Parameters:**\n- `query` (string): Description of functionality you need\n- `limit` (integer, optional): Maximum number of recommendations (default: 5)\n- `category` (string, optional): Filter by specific category\n- `language` (string, optional): Filter by programming language\n\n**Example:**\n```\nrecommend_mcp(\"database operations with SQLite\", limit=3)\n```\n\n#### `list_categories`\nList all available MCP categories with counts.\n\n#### `get_functional_keywords`\nShow functional keyword mappings for better search results.\n\n## Categories\n\nThe recommender covers 36+ categories including:\n\n- **Developer Tools** (120+ servers)\n- **Databases** (79+ servers)\n- **Search & Data Extraction** (69+ servers)\n- **Cloud Platforms** (39+ servers)\n- **Security** (39+ servers)\n- **Communication** (36+ servers)\n- **Browser Automation** (23+ servers)\n- **Knowledge & Memory** (22+ servers)\n- And many more...\n\n## Development\n\n### Setup Development Environment\n\n```bash\n# Clone and setup\ngit clone https://github.com/mcp-team/mcp-recommender.git\ncd mcp-recommender\n\n# Install development dependencies\nuv sync --dev\n\n# Run tests\nuv run pytest\n\n# Build package\nuv build\n```\n\n### Project Structure\n\n```\nmcp-recommender/\n\u251c\u2500\u2500 mcp_recommender/ # Main package\n\u2502 \u251c\u2500\u2500 __init__.py\n\u2502 \u251c\u2500\u2500 __main__.py # CLI entry point\n\u2502 \u251c\u2500\u2500 server.py # MCP server implementation\n\u2502 \u2514\u2500\u2500 data/ # MCP database and keywords\n\u2502 \u251c\u2500\u2500 mcp_database.json\n\u2502 \u2514\u2500\u2500 functional_keywords.json\n\u251c\u2500\u2500 tests/ # Test suite\n\u251c\u2500\u2500 LICENSE # MIT License\n\u251c\u2500\u2500 README.md # This file\n\u2514\u2500\u2500 pyproject.toml # Package configuration\n```\n\n## Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- Built with [FastMCP](https://github.com/jlowin/fastmcp) framework\n- MCP database curated from the awesome MCP community\n- Powered by the [Model Context Protocol](https://modelcontextprotocol.io/)\n\n## Support\n\n- \ud83d\udcd6 [Documentation](https://github.com/mcp-team/mcp-recommender#readme)\n- \ud83d\udc1b [Issue Tracker](https://github.com/mcp-team/mcp-recommender/issues)\n- \ud83d\udcac [Discussions](https://github.com/mcp-team/mcp-recommender/discussions)\n\n---\n\nMade with \u2764\ufe0f by the MCP community",
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