# Crawl4AI RAG MCP Server

> Use this tool when you need to scrape websites, store web content, and perform semantic searches on crawled data for AI agents. It provides web crawling and RAG capabilities, storing content in a vector database for efficient retrieval. Ideal for use cases requiring large-scale web data extraction and intelligent search functionality.

Canonical page: https://skillsregistry.net/skills/utaschulz1-mcp-crawl2db-neo4j-rag  
JSON: https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl2db-neo4j-rag

## Description

Provides web crawling and RAG capabilities for AI agents, enabling scraping of websites, storing content in a vector database (Supabase), and performing semantic search over crawled data.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hi4s7ru48f)
- **Repository:** <https://github.com/utaschulz1/mcp-crawl2db-neo4j-rag>

## 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": "utaschulz1-mcp-crawl2db-neo4j-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl2db-neo4j-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl2db-neo4j-rag/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