Crawl4AI MCP Server

Name: Crawl4AI MCP Server
Author: weidwonder

@weidwonder

Repository

About Crawl4AI MCP Server

用于提供给本地开发者的 LLM的高效互联网搜索&内容获取的MCP Server，节省你的token

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "crawl4ai-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "crawl4ai_env"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Crawl4AI MCP Server?

Crawl4AI MCP Server is an MCP (Model Context Protocol) server that equips AI assistant systems with multi‑engine search and LLM‑optimized web page content understanding. It supports DuckDuckGo (default) and Google search, and provides intelligent content extraction with citation‑enabled output formats.

How to use Crawl4AI MCP Server?

Install via cloning the repository, creating a Python 3.9+ virtual environment, installing dependencies (pip install -r requirements.txt) and the Playwright browser (playwright install), or via Smithery for Claude Desktop. The server exposes two tools: search (with parameters query, num_results, engine) and read_url (with parameters url and format). To use Google search, configure config.json with an API key and CSE ID.

Key features of Crawl4AI MCP Server

Multi‑engine search (DuckDuckGo and Google)
LLM‑optimized web content extraction with noise filtering
Automatic identification and retention of key content
Multiple output formats including markdown with citations
High‑performance asynchronous design based on FastMCP

Use cases of Crawl4AI MCP Server

AI assistants performing web research and fact‑checking
Summarizing and extracting core information from articles
Gathering search results from multiple engines simultaneously
Providing LLMs with clean, citation‑tracked web content

FAQ from Crawl4AI MCP Server

Which search engines are supported?

DuckDuckGo (default, no API key required) and Google (requires API key and CSE ID configured in config.json). The "engine" parameter can be set to "duckduckgo", "google", or "all".