# Crawl4AI RAG MCP Server

> Crawl4AI RAG MCP Server — adnan0758-crawl4ai-rag-mcp-server. Use this tool when you need to efficiently retrieve specific information from large technical documentation sets, and want to ensure the accuracy of code snippets generated by AI models. It solves problems related to information overload, semantic search, and code hallucination detection, providing AI assistants with a reliable interface for crawling, indexing, and retrieving relevant data. Ideal for use cases where technical documentation is vast and complex, requiring precise and trustworthy information retrieval.

Canonical page: https://skillsregistry.net/skills/adnan0758-crawl4ai-rag-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/adnan0758-crawl4ai-rag-mcp-server

## Description

Enables AI assistants to crawl, index, and retrieve information from technical documentation using semantic search, with optional knowledge graph validation for code hallucination detection.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b08iejphrj)
- **Repository:** <https://github.com/adnan0758/Crawl4AI-RAG-MCP-Server>

## 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": "adnan0758-crawl4ai-rag-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adnan0758-crawl4ai-rag-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adnan0758-crawl4ai-rag-mcp-server/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