rust-docs-mcp-server

Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search and LLM summarization.

• Source: GitHub Repository
• Category: Documentation & Learning Resources
• Tags: mcp, documentation, rust, semantic-search

Features

• Fetches and provides the latest documentation for a specified Rust crate.
• Uses semantic search and LLM summarization to answer questions about a crate's API or usage.
• Prevents outdated code suggestions from AI assistants by ensuring context is from current docs.
• Generates and caches embeddings of crate documentation for fast repeated queries.
• Allows running multiple server instances concurrently for different crates and features.
• Communicates using the Model Context Protocol (MCP) over stdio.
• Tool provided: query_rust_docs for querying crate documentation context.
• Supports specifying crate versions and features, matching Cargo's package ID specification.
• Caching mechanism reduces startup time for subsequent runs with the same crate/version/features.
• Informational logging of server status and query processing for integration with MCP clients.
• Example client configurations available for tools like Roo Code and Claude Desktop.
• Open-source under the MIT License.

Installation

• Download pre-compiled binaries for your operating system from GitHub Releases.
• Alternatively, build from source with the Rust toolchain.

Usage

• On first run for a crate/version/features, downloads docs and generates embeddings (requires internet and OpenAI API key).
• Recommended to run once manually for new crates to complete initial embedding and caching.
• Subsequent launches use cached data for faster startup.
• Requires specifying target crate and version/features via command line.

Pricing

• No pricing information provided; project is open-source under the MIT License.