What is Huoshui Fetch?

Huoshui Fetch is a dedicated web content fetching, conversion, and extraction server. It provides robust tools to gather, transform, and process various data types from web pages into a structured format.

What types of data can Huoshui Fetch extract?

It can extract main article content using readability algorithms, all links, images, comprehensive page metadata (title, description, OG tags), and structured data such as JSON-LD and microdata.

Can Huoshui Fetch convert web content formats?

Yes, it offers versatile conversion tools including converting HTML to clean Markdown or plain text, cleaning/sanitizing HTML, and even transforming JSON data into readable Markdown format.

How does Huoshui Fetch integrate with other applications?

Huoshui Fetch functions as an MCP (Model Context Protocol) server, making it perfectly suited for seamless integration with AI desktop applications like Claude Desktop and other MCP-compatible clients, communicating via standard input/output.

Huoshui Fetch

Name: Huoshui Fetch
Author: huoshuiai42

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Fetches, converts, and extracts various data types from web pages for structured processing.

Huoshui Fetch is a dedicated server designed to streamline web content acquisition and transformation. It provides a comprehensive suite of tools for fetching web pages with advanced controls, converting HTML into clean Markdown or plain text, and extracting specific data points like main articles, links, images, metadata, and structured data. This server is built for seamless integration with Model Context Protocol (MCP) clients like Claude Desktop, enabling AI applications to efficiently interact with and process web-based information.

主要功能

01Convert HTML to clean Markdown or extract plain text content

02Extract links, images, and comprehensive page metadata (title, description, OG tags)

03Parse structured data, including JSON-LD and microdata, from web pages

04Fetch web content from URLs with customizable timeouts and headers

05Extract main article content using readability algorithms

060 GitHub stars

使用案例

01Streamlining data extraction for content aggregation or analysis platforms

02Automating web content acquisition and parsing for AI agents and applications

03Integrating advanced web data processing capabilities into custom desktop applications