# Rust Docs

> Use this tool when you need to efficiently process and load Rust documentation from HTML files, solving problems of duplicate file handling and flexible documentation processing. It takes HTML documentation files as input and outputs parsed documentation, with an optional 'dangerous' mode for including all HTML files. Ideal for use cases requiring robust and adaptable Rust documentation loading, such as model context protocol implementations.

Canonical page: https://skillsregistry.net/skills/govcraft-rust-docs  
JSON: https://api.skillsregistry.net/v1/skills/govcraft-rust-docs

## Description

Rust documentation loader for the Model Context Protocol that efficiently processes HTML documentation files from Rust crates. Uses LlamaIndex's HTML reader to load and parse documentation, with intelligent file selection logic that handles duplicate files by selecting the largest version. Supports an optional 'dangerous' mode to include all HTML files, making it flexible for different documentation processing scenarios.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/govcraft-rust-docs)
- **Repository:** <https://github.com/govcraft/rust-docs-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "govcraft-rust-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/govcraft-rust-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/govcraft-rust-docs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt