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Enables large language models to fetch, process, and interact with web content using customizable HTTP requests.

소개

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.

주요 기능

  • 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

사용 사례

  • 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
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