Crawl4AI MCP Server

Name: Crawl4AI MCP Server
Author: weidwonder

@weidwonder

リポジトリ

Crawl4AI MCP Server について

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

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

weidwonder

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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".