Most large language models struggle with consuming entire web pages due to excessive content that clogs their context windows. This tool functions as a Model Context Protocol (MCP) server, enabling precise web scraping by leveraging CSS selectors. It allows users to fetch only the essential information from a web page, thereby optimizing content for LLMs and other applications by reducing noise and improving efficiency.