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Crawl4ai Middleware MCP Server

@Frankieli123

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Frankieli123

投稿者

Crawl4ai Middleware MCP Server について

概要はまだありません

#crawl4ai#web-scraping#middleware

Crawl4ai Middleware MCP Server の設定

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": {
      "command": "python",
      "args": [
        "E:/APP/craw14ai-middleware/crawl4ai_server.py"
      ]
    }
  }
}

Crawl4ai Middleware MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Middleware?

Crawl4ai Middleware is an MCP (Model Context Protocol) server that integrates crawl4ai's web scraping capabilities into MCP-compatible applications like Cursor IDE. It provides tools to create crawl tasks, retrieve results by task ID, list saved files, and read their contents.

How to use Crawl4ai Middleware?

Install dependencies with pip install mcp[cli] httpx python-dotenv, configure environment variables (API base URL and key), then add the server configuration to your MCP client (e.g., Cursor IDE's settings.json) pointing to the crawl4ai_server.py script.

Key features of Crawl4ai Middleware

  • Provides four MCP tools for web scraping workflows
  • Saves scraped content locally to avoid display size limits
  • Supports environment variable configuration for API and output directory
  • Allows retrieval of crawl results by task ID
  • Lists and reads saved result files
  • Works with Cursor IDE and other MCP-enabled applications

Use cases of Crawl4ai Middleware

  • Scrape a web page and retrieve its content directly in Cursor IDE
  • Manage multiple crawl tasks with persistent file storage
  • Review previously crawled results offline at any time
  • Integrate web scraping into AI agent workflows via MCP

よくある質問

1

What tools does Crawl4ai Middleware provide?

It provides `create_crawl_task`, `get_crawl_result`, `list_saved_results`, and `read_saved_result`.

2

How are crawled files stored?

Files are saved in a `url` folder next to the server script, named `extracted_domain_taskID_timestamp.txt`.

3

What dependencies are required?

Install `mcp[cli]`, `httpx`, and `python-dotenv` via pip.

4

How do I configure the server?

Set environment variables `CRAWL4AI_API_BASE`, `CRAWL4AI_API_KEY`, optionally `OUTPUT_DIR` and `LOG_LEVEL`. Default API base is `http://192.168.31.12:11235` and key `sk-3180623`.

5

Can I use this with Cursor IDE?

Yes, add the server configuration to Cursor's `settings.json` with the command `python` and args pointing to the `crawl4ai_server.py` script.

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