No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by snowmead · MCP Server · ★ 135
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rust-docs-mcp safe to install? View the security audit →
Rustdocs MCP Server Rust is the language of AI An MCP (Model Context Protocol) server that provides comprehensive access to Rust crate documentation, source code analysis, dependency trees, and module structure visualization. Built for agents to gain quality insights into Rust projects and build with confidence. Warning This is an entirely vibe coded project and was created as an experiment to see if LLMs can build a fully functional tool without human oversight. The Problem: Agents Building in the Dark The rise of AI agents has revolutionized software development, with new tools and libraries emerging at an unprecedented pace. However, this rapid evolution creates a critical challenge: agents cannot reliably build with tools they weren't trained on. When an agent tries to use a new Rust crate
| Stars | 135 |
| Forks | 12 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77.0677663574781/100 |
| Last Updated | 2026-09-21 |
| Created | 2025-06-13 |
| Platforms | mcp, rust |
| Est. Tokens | ~24k |
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rust-docs-mcp is MCP server for agents to explore rust docs, analyze source code, and build with confidence. It is categorized as a MCP Server with 135 GitHub stars.
rust-docs-mcp is primarily written in Rust. It covers topics such as agent, mcp-server, rust.
You can find installation instructions and usage details in the rust-docs-mcp GitHub repository at github.com/snowmead/rust-docs-mcp. The project has 135 stars and 12 forks, indicating an active community.
rust-docs-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rust-docs-mcp on Agent Skills Hub include wcgw, wren-engine, sonarqube-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: