# Crawl4AI MCP Server

> Use this tool when you need to extract and analyze web content for AI applications, such as data mining, sentiment analysis, or content monitoring. The Crawl4AI MCP Server provides web scraping capabilities through page structure analysis, schema-based extraction, and screenshot capture, solving problems related to web data acquisition and processing. It accepts URLs and other parameters as input and outputs extracted data, screenshots, and analysis results, making it ideal for use cases where web content needs to be integrated with AI models.

Canonical page: https://skillsregistry.net/skills/nexus-digital-automations-crawl4ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nexus-digital-automations-crawl4ai-mcp

## Description

A Model Context Protocol server that provides web scraping capabilities, enabling AI to extract and analyze web content through page structure analysis, schema-based extraction, and screenshot capture.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tq9fp92bnj)
- **Repository:** <https://github.com/Nexus-Digital-Automations/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": "nexus-digital-automations-crawl4ai-mcp"
    }
  }
}
```

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