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Crawl4AI MCP Server

@weidwonder

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

weidwonder

关于 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

Crawl4AI MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Crawl4AI MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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"`.

2

What Python version is required?

Python 3.9 or higher is required.

3

What output formats does the `read_url` tool support?

It supports `markdown_with_citations` (default), `fit_markdown`, `raw_markdown`, `references_markdown`, `fit_html`, and `markdown`.

4

Is an API key needed to use DuckDuckGo search?

No, DuckDuckGo search works without any API key. Google search requires a Google API key and a Custom Search Engine ID.

5

What dependencies are needed beyond Python?

The Playwright browser must be installed (`playwright install`). All other dependencies are listed in `requirements.txt`.

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