# mcp-crawl4ai

> mcp-crawl4ai — wyattowalsh-mcp-crawl4ai. Use this tool when you need to leverage the Crawl4AI library for web crawling and data extraction tasks, wrapped in a Python-based MCP server for streamlined functionality. It solves problems related to web data collection and processing, providing a programmable interface for inputting crawl parameters and outputting extracted data. Ideal for use cases requiring automated web data gathering and integration with AI models, accessible via git for version control and collaboration.

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

## Description

MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/wyattowalsh/mcp-crawl4ai)

## 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": "wyattowalsh-mcp-crawl4ai"
    }
  }
}
```

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