# Autodocument MCP Server

> Use this tool when you need to automate documentation and testing for code repositories, saving time and reducing manual effort. It analyzes directory structures and code files using AI models to generate documentation, test plans, and code reviews, providing outputs via the OpenRouter API. Ideal for streamlining development workflows and improving code quality, this tool is suitable for large-scale codebases and collaborative development projects.

Canonical page: https://skillsregistry.net/skills/pars-doe-autodocument  
JSON: https://api.skillsregistry.net/v1/skills/pars-doe-autodocument

## Description

An MCP server that automatically generates documentation, test plans, and code reviews for code repositories by analyzing directory structures and code files using AI models via OpenRouter API.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/btsz4wtkbl)
- **Repository:** <https://github.com/PARS-DOE/autodocument>

## 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": "pars-doe-autodocument"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pars-doe-autodocument` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pars-doe-autodocument/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