Web Content Pick
Extracts structured content from web pages using customizable selectors for crawling, parsing, and analyzing HTML elements without leaving the assistant interface.
About
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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