# Crawl4AI

> Use this tool when you need to perform advanced web crawling, content extraction, and semantic search to build knowledge bases or automate documentation. Crawl4AI solves problems related to intelligent web content analysis, code discovery, and automated knowledge graph integration, accepting web sources as input and outputting extracted content, semantic search results, and knowledge graphs. It is ideal for developers, teams, and organizations requiring intelligent web content analysis and automated knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/chillbruhhh-crawl4ai  
JSON: https://api.skillsregistry.net/v1/skills/chillbruhhh-crawl4ai

## Description

This MCP server provides AI assistants with advanced web crawling and RAG capabilities through the Crawl4AI library, built by Cole Medin using Python with comprehensive content extraction, semantic search, and knowledge graph integration. The implementation features multiple RAG strategies including contextual embeddings, hybrid search combining vector and keyword approaches, agentic RAG with code example extraction, cross-encoder reranking, and AI hallucination detection through Neo4j knowledge graphs. Built with Supabase for vector storage, OpenAI embeddings, configurable LLM support through OpenRouter, and Docker deployment options, it serves developers needing intelligent web content analysis, teams requiring automated documentation and code discovery from web sources, and organizations wanting to build knowledge bases from crawled web content with advanced retrieval and validation capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chillbruhhh-crawl4ai)
- **Repository:** <https://github.com/chillbruhhh/crawl4ai-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": "chillbruhhh-crawl4ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chillbruhhh-crawl4ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chillbruhhh-crawl4ai/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