关于
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.
主要功能
- Parse HTML content rapidly using deno-dom
- Built-in error handling for network issues and parsing failures
- Fetch any publicly accessible web page by URL
- Extract text content using standard and complex CSS selectors
- Ensures safe execution with minimal required permissions
- 0 GitHub stars
使用案例
- Automating content acquisition for research, analysis, or content aggregation
- Extracting specific data points (e.g., article titles, product details) from websites
- Providing targeted web content to LLMs to prevent context window overflow