NOTICE
@BjornMelin
NOTICE について
🚀 High-performance MCP Server for Crawl4AI - Enable AI assistants to access web scraping, crawling, and deep research via Model Context Protocol. Faster and more efficient than FireCrawl!
基本情報
設定
ツール
5Crawl web pages from a starting URL
Retrieve crawl data by ID
List all crawls or filter by domain
Search indexed documents by query
Extract structured content from a URL
概要
What is Crawl4AI MCP Server?
Crawl4AI MCP Server is an open-source implementation of the Model Context Protocol (MCP) that integrates with the Crawl4AI web scraping and crawling library. It is deployed as a remote MCP server on CloudFlare Workers, enabling AI assistants such as Claude to perform web scraping, crawling, and structured data extraction.
How to use Crawl4AI MCP Server?
Install Node.js (v18+), npm, and Wrangler, then clone the repository, run npm install, create a CloudFlare KV namespace, update wrangler.toml, and deploy with npm run deploy. Connect MCP clients (e.g., Claude Desktop) using the assigned CloudFlare Workers URL. Available tools include crawl, getCrawl, listCrawls, search, and extract.
Key features of Crawl4AI MCP Server
- Single webpage scraping and full website crawling
- Configurable crawl depth and page limits
- Asynchronous crawling for efficient site traversal
- Deep research across multiple pages
- Structured data extraction using CSS selectors or LLM extraction
- OAuth and API key (Bearer token) authentication
Use cases of Crawl4AI MCP Server
- AI assistants retrieving live web content on demand
- Automated deep research of multiple linked pages
- Extracting specified data fields from web pages for analysis
- Building a searchable index of crawled content
FAQ from Crawl4AI MCP Server
Is this server ready for production use?
No. The README explicitly states the server is under development and not ready for production use.
What are the prerequisites for running the server?
You need Node.js v18+, npm, the Wrangler CLI, and a CloudFlare account. A CloudFlare KV namespace is required for storing crawl data.
How is crawled data stored?
Data is stored in a CloudFlare KV namespace configured in wrangler.toml under the binding CRAWL_DATA.
What authentication methods are supported?
The server supports both OAuth authentication (via workers-oauth-provider) and API key authentication using Bearer tokens.
Which MCP clients are compatible?
The server implements the standard Model Context Protocol and can be used with any MCP client, such as Claude Desktop.
「ブラウザ自動化」の他のコンテンツ
playwright-server MCP server
blackwhite084Slack Slack
microsoftPlaywright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
Puppeteer Vision Mcp Server
djannotApify Model Context Protocol (MCP) Server
apifyThe Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
Fetch MCP
jae-jaeMCP server for fetch web page content using Playwright headless browser.
コメント