# Rust Docs

> Use this tool when you need to retrieve documentation for Rust crates, providing essential context for AI models working with Rust code. It solves problems of incomplete or missing documentation, allowing for more accurate and informed code analysis and generation. The tool takes crate names as input and returns plain text documentation as output, making it ideal for use cases where Rust code understanding is crucial.

Canonical page: https://skillsregistry.net/skills/0xkoda-rust-docs  
JSON: https://api.skillsregistry.net/v1/skills/0xkoda-rust-docs

## Description

This MCP server fetches and returns documentation for Rust crates from docs.rs, providing essential context for LLMs working with Rust code. It implements a single tool, 'lookup_crate_docs', which retrieves HTML documentation, converts it to plain text, and truncates it if necessary. The server is designed for easy integration with AI assistants like Claude Desktop and can be tested using the MCP Inspector.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/0xkoda-rust-docs)
- **Repository:** <https://github.com/0xkoda/mcp-rust-docs>

## 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": "0xkoda-rust-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xkoda-rust-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xkoda-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