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Fetch

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Web content fetching and conversion for efficient LLM usage

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更新时间:2025-03-26 09:55:55

Fetch的信息

What is fetch

Fetch is a Model Context Protocol (MCP) server designed to facilitate web content fetching and conversion. It enables Large Language Models (LLMs) to retrieve and process data from web pages by transforming HTML into markdown, making it more accessible for various applications.

How to use fetch

To use Fetch, install it via node.js or pip. Run the server with the command: `python -m mcp_server_fetch` or using `uvx` as per the documentation. You can fetch content by invoking the `fetch` tool with a specified URL.

Key features of fetch

  • Fetches web URLs and extracts their content in markdown format.
  • Supports configuration options such as maximum length of content and starting index for extraction.
  • Customizable user-agent and robots.txt compliance settings.

Use cases of fetch

  • Enabling LLMs to access and process data from web pages for various applications.
  • Converting online articles into a simplified format for analysis.
  • Assisting in data retrieval tasks for research and data aggregation workflows.

FAQ from fetch

- **Can Fetch handle all types of web content?** Fetch is capable of extracting content from most web pages, although results may vary based on the site's structure and restrictions. - **Is Fetch easy to integrate with other tools?** Yes! Fetch is designed to integrate smoothly with LLMs and can be customized to meet specific needs. - **Is there any usage limit for Fetch?** Fetch does not impose strict usage limits, but your implementation may be subject to the guidelines of the websites you access.

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