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.
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.
Learn how Turbo's HTML-over-the-wire approach uses Drive, Frames, Streams, and Native to build fast web applications without heavy JavaScript frameworks.
The Microsoft Learn Docs MCP Server is a cloud-hosted service that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. It is a remote MCP Server using streamable http, which is lightweight for clients t