Mult Fetch

Name: Mult Fetch
Author: lmcc-dev

bylmcc-dev

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Herramientas para Desarrolladores

Desarrollo de API

Web Scraping y Recopilación de Datos

Fetches web content in multiple formats, supporting browser and Node.js environments with intelligent proxy detection.

Mult Fetch is a versatile tool designed to fetch web content for AI assistants, adhering to the Model Context Protocol (MCP). It supports multiple modes (browser/node) and formats (HTML/JSON/Markdown/Text), with intelligent proxy detection. The tool manages content size limitations by automatically splitting large content into manageable chunks, with support for chunked content retrieval and detailed debug logging. It also offers bilingual internationalization (English and Chinese) and features intelligent content extraction based on Mozilla's Readability library, capable of extracting meaningful content from web pages.

Características Principales

015 GitHub stars

02Supports multiple web scraping methods (HTML, JSON, text, Markdown, plain text conversion)

03Bilingual internationalization (English and Chinese)

04Intelligent mode switching between standard requests and browser mode

05Content size management with automatic chunking

06Intelligent content extraction using Mozilla's Readability library

Casos de Uso

01Extracting structured data from websites for analysis

02Retrieving web content for AI chatbot training

03Providing context to AI models by fetching relevant web pages