crawl4ai-mcp-server: A lightweight Model Context Protocol server that exposes Crawl4AI web scraping and crawling capabilities

by sadiuysal · MCP Server · ★ 112

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install crawl4ai-mcp-server

docker pull uysalsadi/crawl4ai-mcp-server:latest
git clone https://github.com/uysalsadi/crawl4ai-mcp-server.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsclaude-codecrawl4aicursorfirecrawl-alternativemcpmodel-context-protocolopenai-agentsopenai-agents-sdkweb-crawling

Quick Facts

Stars112
Forks22
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues2
Last Updated2026-02-06
Created2025-08-14
Platformsbrowser, claude-code, mcp, python
Est. Tokens~4k

About crawl4ai-mcp-server

Crawl4AI MCP Server 🕷️ A lightweight Model Context Protocol (MCP) server that exposes Crawl4AI web scraping and crawling capabilities as tools for AI agents. Similar to Firecrawl's API but self-hosted and free. Perfect for integrating web scraping into your AI workflows with OpenAI Agents SDK, Cursor, Claude Code, and other MCP-compatible tools.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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