Web Content Pick▌
by kilicmu
Extract structured data from web pages with customizable selectors. Easily crawl, parse, and analyze HTML using web craw
Extracts structured content from web pages using customizable selectors for crawling, parsing, and analyzing HTML elements without leaving the assistant interface.
best for
- / Web scraping and data extraction
- / Content analysis and research
- / Automated content monitoring
- / Site structure analysis
capabilities
- / Extract structured content from any web URL
- / Use custom CSS selectors to target specific elements
- / Crawl websites recursively with depth control
- / Parse HTML into organized hierarchical format
- / Analyze page structure automatically
- / Retry failed requests automatically
what it does
Extracts structured content from web pages using customizable CSS selectors and provides organized, hierarchical data without switching to a browser.
about
Web Content Pick is a community-built MCP server published by kilicmu that provides AI assistants with tools and capabilities via the Model Context Protocol. Extract structured data from web pages with customizable selectors. Easily crawl, parse, and analyze HTML using web craw It is categorized under browser automation, search web. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install Web Content Pick in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Web Content Pick is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
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