This MCP server implements a comprehensive web content fetching solution adhering to the Model Context Protocol (MCP). It supports multiple transport modes, including standard input/output (stdio) and server-sent events, for seamless integration with AI assistants. Key features include support for various content formats like HTML, JSON, Markdown, and plain text, along with intelligent mode switching between browser and node modes based on website restrictions. It offers content size management through automatic chunking, detailed debugging, internationalization (English/Chinese), and advanced browser control such as scrolling and cookie management. The server can extract meaningful content using Mozilla's Readability library, filter out unwanted elements, and fetch webpage metadata. These capabilities facilitate efficient, flexible, and context-aware web content retrieval tailored for AI applications, especially where large or complex web data is involved.