# mcp-doc-search

> mcp-doc-search — otmangx-mcp-doc-search. Use this tool when you need to efficiently retrieve and convert official library documentation into a format suitable for large language models (LLMs). It solves the problem of accessing and processing complex documentation by outputting clean Markdown files, taking git repository inputs and producing LLM-friendly outputs. Ideal for use cases where documentation needs to be quickly fetched, converted, and utilized in AI applications.

Canonical page: https://skillsregistry.net/skills/otmangx-mcp-doc-search  
JSON: https://api.skillsregistry.net/v1/skills/otmangx-mcp-doc-search

## Description

A high-performance Model Context Protocol (MCP) server built with Python, designed to fetch and convert official library documentation into clean, LLM-friendly Markdown.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OtmanGX/mcp-doc-search)

## 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": "otmangx-mcp-doc-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/otmangx-mcp-doc-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/otmangx-mcp-doc-search/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