# read-docs-mcp

> Use this tool when you need to access and understand technical documentation and source code from Git repositories, enabling AI agents to search and browse module overviews, components, and detailed documentation for technical libraries. It solves problems related to knowledge discovery, code comprehension, and documentation exploration, providing a unified interface for AI agents to retrieve relevant information. The tool takes Git repository inputs and outputs structured documentation and source code data, ideal for use cases involving technical research, development, and troubleshooting.

Canonical page: https://skillsregistry.net/skills/zebraroy-read-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zebraroy-read-docs-mcp

## Description

A Model Context Protocol server that enables AI agents to access, search, and understand structured package documentation and source code from Git repositories. It automatically generates specialized tools to browse module overviews, components, and detailed documentation for technical libraries.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kkwuk26fon)
- **Repository:** <https://github.com/ZebraRoy/read-docs-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": "zebraroy-read-docs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zebraroy-read-docs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zebraroy-read-docs-mcp/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