Crawl4AI Web Scraper MCP Server

By MaitreyaM GitHub

MCP Server leveraging crawl4ai for web scraping and LLM-based content extraction (Markdown, text snippets, smart extraction). Designed for AI agent integration.

Overview

what is Crawl4AI Web Scraper MCP Server?

Crawl4AI Web Scraper MCP Server is a server that utilizes the crawl4ai library for web scraping and intelligent content extraction, designed for integration with AI agents.

how to use Crawl4AI Web Scraper MCP Server?

To use the server, you can run it locally or via Docker. After setting up the environment and API keys, you can interact with it through various MCP tools to scrape web pages and extract content.

key features of Crawl4AI Web Scraper MCP Server?

Exposes MCP tools for web interaction, including scrape_url, extract_text_by_query, and smart_extract.
Configurable via environment variables for API keys.
Supports Docker for easy deployment.
Communicates over Server-Sent Events (SSE).

use cases of Crawl4AI Web Scraper MCP Server?

Scraping web pages to retrieve content in Markdown format.
Extracting specific text snippets based on user queries.
Using LLMs to intelligently extract structured information from web pages.

FAQ from Crawl4AI Web Scraper MCP Server?

What is the purpose of the smart_extract tool?

It allows users to extract specific information from a webpage based on natural language instructions.

Is Docker required to run the server?

No, Docker is optional; you can also run the server locally with Python.

What API keys are needed?

The GOOGLE_API_KEY is required for the smart_extract tool to function.