mcp-server-scikit-learn

# mcp-server-scikit-learn: MCP server for Scikit-learn ## Overview This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets. ## Features * Train and evaluate Scikit-learn models * Handle datasets and data preprocessing * Model persistence and loading * Feature engineering and selection * Model evaluation metrics * Cross-validation and hyperparameter tuning ## Run this project locally This project is not yet set up for ephemeral environments (e.g. `uvx` usage). Run this project locally by cloning this repo: ```bash git clone https://github.com/yourusername/mcp-server-scikit-learn.git cd mcp-server-scikit-learn ``` You can launch the MCP inspector via npm: ```bash npx @modelcontextprotocol/inspector uv --directory=src/mcp_server_scikit_learn run mcp-server-scikit-learn ``` Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging. OR Add this tool as a MCP server: ```json { "scikit-learn": { "command": "uv", "args": [ "--directory", "/path/to/mcp-server-scikit-learn", "run", "mcp-server-scikit-learn" ] } } ``` ## Development 1. Create and activate a virtual environment: ```bash python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` 2. Install dependencies: ```bash pip install -e ".[dev]" ``` 3. Run tests: ```bash pytest -s -v tests/ ``` ## [License](LICENSE)