rust-docs-mcp-server: Prevents outdated Rust code suggestions from AI assistants

by Govcraft · MCP Server · ★ 300

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Knowledge Base & RAG

How to install rust-docs-mcp-server

git clone https://github.com/Govcraft/rust-docs-mcp-server.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-safetycachingcargocoding-assistantcontext-awarecrates-iodeveloper-toolsembeddingsinformation-retrieval

Quick Facts

Stars300
Forks40
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score75/100
Open Issues13
Last Updated2025-11-24
Created2025-03-26
Platformsmcp, rust
Est. Tokens~23k

About rust-docs-mcp-server

Rust Docs MCP Server ⭐ Like this project? Please star the repository on GitHub to show your support and stay updated! ⭐ Motivation Modern AI-powered coding assistants (like Cursor, Cline, Roo Code, etc.) excel at understanding code structure and syntax but often struggle with the specifics of rapidly evolving libraries and frameworks, especially in ecosystems like Rust where crates are updated...

Compatible Skills

These tools work well together with rust-docs-mcp-server for enhanced workflows:

  • t3router — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • skilllite — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • rustsn — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • rust-mcp-schema — semantic(0.30)+rare_topics+same_lang+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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