# docs.rs

> Use this tool when you need to access and search Rust crate documentation, or retrieve specific details such as module listings, README files, or metadata. It solves problems related to browsing and understanding Rust libraries by providing a programmatic interface to docs.rs. The tool accepts search queries, crate names, or paths as input and returns relevant documentation and metadata as output.

Canonical page: https://skillsregistry.net/skills/lazhenyi-docsrs  
JSON: https://api.skillsregistry.net/v1/skills/lazhenyi-docsrs

## Description

Provides access to Rust crate documentation from docs.rs through web scraping using Cheerio for HTML parsing. Offers tools for searching crates by name or keyword, retrieving crate homepage details, accessing documentation for specific paths within crates, listing modules, structs, enums, functions, traits, and macros, and fetching README files with metadata. Requires Node.js 20.0.0 or higher and communicates via stdio transport.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lazhenyi-docsrs)
- **Repository:** <https://github.com/lazhenyi/rs-docsrs-mcp>

## 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": "lazhenyi-docsrs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lazhenyi-docsrs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lazhenyi-docsrs/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