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Govcraft/rust-docs-mcp-server

by Various

๐Ÿฆ€ Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

G

MCP

Govcraft/rust-docs-mcp-server

Added 1 June 2026

#ai #ai-safety #caching #cargo #coding-assistant #context-aware #crates-io #developer-tools

Overview

An MCP server that fetches up-to-date Rust crate documentation to prevent AI assistants from suggesting outdated code. It uses embeddings and LLMs to retrieve relevant context and provides that context through a tool call.

Best for

Best for
Rust developers using AI assistants who need accurate crate documentation context

Use cases

  • Getting current crate docs for Rust development
  • Providing accurate context to AI coding assistants
  • Reducing incorrect Rust suggestions in LLM-generated code

Notes

An MCP server that fetches up-to-date Rust crate documentation to prevent AI assistants from suggesting outdated code. It uses embeddings and LLMs to retrieve relevant context and provides that context through a tool call.

279 stars on GitHub. Last updated 2025-11-24. Licensed MIT.

Use cases

  • Getting current crate docs for Rust development
  • Providing accurate context to AI coding assistants
  • Reducing incorrect Rust suggestions in LLM-generated code

Pros

  • Fetches live documentation, reducing stale suggestions
  • Simple MCP integration for AI tools
  • Open source with active community (279 stars)

Cons

  • Requires running a local server
  • Depends on availability of crate documentation sources
  • Only covers Rust crates, not broader language ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Fetches live documentation, reducing stale suggestions
  • Simple MCP integration for AI tools
  • Open source with active community (279 stars)

Cons

  • Requires running a local server
  • Depends on availability of crate documentation sources
  • Only covers Rust crates, not broader language ecosystem