Mult Fetch
Fetches web content in multiple formats, supporting browser and Node.js environments with intelligent proxy detection.
About
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.
Key Features
- 5 GitHub stars
- Supports multiple web scraping methods (HTML, JSON, text, Markdown, plain text conversion)
- Bilingual internationalization (English and Chinese)
- Intelligent mode switching between standard requests and browser mode
- Content size management with automatic chunking
- Intelligent content extraction using Mozilla's Readability library
Use Cases
- Extracting structured data from websites for analysis
- Retrieving web content for AI chatbot training
- Providing context to AI models by fetching relevant web pages
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