Rust Docs is a tool that empowers Large Language Models (LLMs) by providing them with the context needed to understand and work with Rust code effectively. By implementing the Model Context Protocol (MCP), this server fetches documentation for Rust crates directly from docs.rs, strips away unnecessary HTML formatting, and delivers clean, readable content to the LLM. This enables AI assistants like Claude to answer questions about Rust crates, explain features, and guide developers, ultimately enhancing the LLM's ability to assist with Rust-related tasks.