Self-hosted web crawling and content extraction exposed as MCP tools. Scrape pages, crawl sites with depth control, and extract clean markdown — all self-hosted and free.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Crawl4AI MCP Server"
slug: "crawl4ai-mcp-server"
description: "Self-hosted web crawling and content extraction exposed as MCP tools. Scrape pages, crawl sites with depth control, and extract clean markdown — all self-hosted and free."
github_stars: 89
verification: "security_reviewed"
source: "https://github.com/sadiuysal/crawl4ai-mcp-server"
author: "Şadi Uysal"
publisher_type: "individual"
category: "Data Extraction & Transformation"
framework: "MCP"
tool_ecosystem:
github_repo: "sadiuysal/crawl4ai-mcp-server"
github_stars: 89
---
# Crawl4AI MCP Server
Self-hosted web crawling and content extraction exposed as MCP tools. Scrape pages, crawl sites with depth control, and extract clean markdown — all self-hosted and free.
## Prerequisites
MCP-compatible client, Python 3.10+ with Playwright or Docker
## Installation
Use the upstream install or setup path that matches your environment:
- Docker eliminates all setup complexity and provides a consistent environment:
- docker pull uysalsadi/crawl4ai-mcp-server:latest
- git clone https://github.com/uysalsadi/crawl4ai-mcp-server.git
- docker build -f Dockerfile.simple -t crawl4ai-mcp .
Requirements and caveats from upstream:
- Choose between **Docker** (recommended) or **manual installation**:
- ### Option A: Docker (Recommended) 🐳
- python test-config.py
Basic usage or getting-started notes:
- ## 🚀 Quick Start
- # No setup required! Just pull and run the published image
- Source: https://github.com/sadiuysal/crawl4ai-mcp-server
- Extracted from upstream docs: https://raw.githubusercontent.com/sadiuysal/crawl4ai-mcp-server/HEAD/README.md
## Documentation
- https://docs.crawl4ai.com/
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/crawl4ai-mcp-server/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.