crawl4ai-mcp-server

Crawl4AI MCP Server is a sophisticated server solution that integrates with the Model Context Protocol (MCP) to enhance the capabilities of AI models by providing them with relevant and up-to-date context. It utilizes powerful web crawling technologies and search functionalities to gather and process data from various sources, ensuring that AI models have access to the most current information. The server is built on Python and leverages tools like Playwright for web automation and DuckDuckGo-Search for efficient data retrieval. This setup is ideal for developers and organizations looking to optimize their AI models' performance by enriching them with contextual data.

Features

• Seamless integration with MCP for enhanced model context management.
• Utilizes Playwright for efficient web crawling and automation.
• Incorporates DuckDuckGo-Search for comprehensive data retrieval.
• Built on Python, ensuring flexibility and ease of use.
• Supports real-time data processing to keep AI models updated.

MCP Tools

• {'MCP Python SDK': 'A toolkit for integrating and managing model context protocols within Python applications.'}

Usage with Different Platforms

Python

python
import crawl4ai
from mcp_sdk import MCPClient

client = MCPClient()
server = crawl4ai.Server(client)
server.start()

Playwright

python
from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page()
    page.goto('https://example.com')
    print(page.title())
    browser.close()