# Crawl4AI RAG MCP Server

> Use this tool when you need to scrape websites and perform semantic search over crawled content, enabling AI agents to gather and process large amounts of web data. It provides advanced web crawling and Retrieval-Augmented Generation (RAG) capabilities, solving problems related to data collection and information retrieval. Ideal for use cases requiring large-scale web data extraction and semantic search, with inputs including website URLs and search queries, and outputs including crawled content and search results.

Canonical page: https://skillsregistry.net/skills/jmgilman-c4ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jmgilman-c4ai-mcp

## Description

Provides AI agents and assistants with advanced web crawling and RAG capabilities, enabling them to scrape websites and perform semantic search over crawled content.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s4i2syqs9m)
- **Repository:** <https://github.com/jmgilman/c4ai-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": "jmgilman-c4ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmgilman-c4ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmgilman-c4ai-mcp/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