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qualityAn MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.
Last updated -
4
16
9
JavaScript
MIT License
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Why this server?
This server directly mentions enabling AI agents to search for Rust crates and their documentation from `docs.rs`, which is a perfect fit for the user's query.
Why this server?
This server explicitly provides AI tools with access to Rust documentation from `docs.rs`, aligning perfectly with the user's search for documents on that specific platform.
Why this server?
This server facilitates 'intelligent searching across documentation for 30+ programming libraries and frameworks', making it highly suitable for searching general programming documentation, including Rust.
Why this server?
This server 'transforms any documentation website (GitBook, Vercel docs, Next.js sites, etc.) into an AI-accessible knowledge base', which would include `docs.rs` for searching documents.
Why this server?
This server 'fetches and extracts comprehensive package documentation from multiple programming language ecosystems', implying it can handle Rust documentation to search through.
Why this server?
This server 'makes documentation or codebases searchable by AI assistants', allowing users to 'chat with code or docs by simply pointing to a git repository or folder,' which is very relevant for searching Rust documentation.
Why this server?
This server explicitly mentions providing 'fresh docs for your AI code editors' for '9000+ libraries', indicating a broad capability for documentation search that would include Rust.
Why this server?
This server 'fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI', suggesting a general capability for up-to-date library documentation, which could extend to Rust.
Why this server?
This server 'empowers LLM Agents to read, analyze, and manage lengthy documents intelligently', providing general document processing capabilities useful for searching and understanding documentation from any source, including `docs.rs`.
Why this server?
This server is a 'Model Context Protocol server for ingesting, chunking and semantically searching documentation files, with support for markdown, Python, OpenAPI, HTML files and URLs', making it suitable for processing and searching various documentation formats from a source like `docs.rs`.