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scikit-learn MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

58,246 tools. Last updated 2026-01-10 03:43
  • Identify and learn from interaction patterns to enhance system performance. Provide predictive insights and improve tool usage efficiency by analyzing data inputs and outcomes.
  • Execute Python code in a secure containerized environment to capture output and errors. Supports libraries like numpy, pandas, matplotlib, scikit-learn, requests, and google-genai for efficient scripting and data processing.
    MIT License
  • Search Rust crate documentation for specific features, error messages, or usage examples to debug compilation issues or learn new APIs. Requires a project path, crate name, and query.
    MIT License

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