# CodeDox

> Use this tool when you need to automatically extract and categorize code snippets from documentation sites, or build searchable code databases with intelligent semantic search capabilities. CodeDox takes in documentation sites as input, crawls and parses code using tree-sitter, and outputs enriched code snippets with metadata enhancement through LLM. It is ideal for developers, teams, and organizations seeking to create internal knowledge bases or automate code example extraction from multiple sources.

Canonical page: https://skillsregistry.net/skills/chriswritescode-dev-codedox  
JSON: https://api.skillsregistry.net/v1/skills/chriswritescode-dev-codedox

## Description

This MCP server provides AI assistants with comprehensive documentation crawling and code extraction capabilities, built by Chris Scott using Python with FastAPI and PostgreSQL. The implementation combines web crawling through Crawl4AI with tree-sitter-based code parsing to automatically extract, categorize, and enrich code snippets from documentation sites, featuring real-time progress tracking via WebSockets, LLM-powered metadata enhancement, and a React-based web interface for search and management. Built with Docker support, health monitoring for long-running crawl jobs, and both REST API and MCP tool interfaces, it serves developers needing to build searchable code databases from documentation sites, teams requiring automated extraction of code examples from multiple sources, and organizations wanting to create internal knowledge bases from technical documentation with intelligent code categorization and semantic search capabilities.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chriswritescode-dev-codedox)
- **Repository:** <https://github.com/chriswritescode-dev/codedox>

## 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": "chriswritescode-dev-codedox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chriswritescode-dev-codedox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chriswritescode-dev-codedox/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