Requests

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This tool serves as an MCP server, empowering Large Language Models (LLMs) to perform sophisticated web content retrieval and interaction. It offers capabilities such as fetching full webpages, filtering content for LLM relevance, or converting it to Markdown. Users can customize User-Agent headers, utilize multi-HTTP method support (GET, POST, PUT, DELETE, PATCH), and control request headers, while LLMs can access complete response header information, making it a versatile bridge between LLMs and the web.

Características Principales

• Supports converting web content to Markdown format
• Supports filtering out content useless for LLMs
• Supports custom and random User-Agent headers
• Supports full HTTP methods (GET, POST, PUT, DELETE, PATCH)
• LLMs can access complete HTTP response header information
• 4 GitHub stars

Casos de Uso

• Automated interaction with web APIs using various HTTP methods
• LLM-powered web scraping and data collection
• Enabling AI agents to browse and understand web content for information retrieval