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Web Fetch Server
Enables AI assistants to fetch content from any URL using various HTTP methods and custom headers.
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The Web Fetch Server is an MCP (Model Context Protocol) server designed to empower AI assistants, such as ChatGPT, with robust web fetching capabilities. It allows AI models to programmatically retrieve content from any URL, supporting a full range of HTTP methods (GET, POST, PUT, DELETE, PATCH) and custom headers. Crucially, it employs adaptive chunking to efficiently handle large responses, ensuring compatibility with MCP payload limits, and offers simplified integration via OpenAPI-driven ChatGPT Actions or direct MCP protocol communication, making it ideal for extending AI model interactivity with the live web.
API Development
Developer Tools
Web Scraping & Data Collection
