MCP Web Content Pick is a server implementation that extracts structured content from web pages using customizable selectors. Developed by kilicmu, it leverages the web-structure library to crawl websites and parse HTML elements like headings, paragraphs, and lists. The tool supports recursive crawling with configurable depth limits, custom selector definitions, and error handling options. This implementation is particularly valuable for content analysis, web scraping, and generating structured representations of web pages without leaving the AI assistant interface.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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