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Extract public web content for search, organization, and downstream analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Web Content Extract Mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-varvararatta-web-content-extract-mcp' 'https://web-content-extract-mcp.mcpize.run/mcp'
Please extract the main article content from this news page, removing navigation, ads, and footer, then return the title, publish date, author, and plain-text body: https://example.com/news-article
Structured article content suitable for reading, archiving, or further summarization.
Please extract the core content from these five competitor website pages and organize it into a table with page title, product positioning, key features, and pricing information: [URL list]
A clear structured comparison table for competitor research and product analysis.
Please extract the public content from this webpage and clean it into analysis-ready JSON with these fields: title, paragraph list, link list, image alt text, and publication date: https://example.com/page
Structured JSON output ready for data processing or downstream automation workflows.
Convert speech into text for note-taking, organization, and analysis.
Provides translation services for fast text conversion across multiple languages.
Connect to e-commerce systems to query products, orders, and store data.
Access support service systems to manage tickets and streamline issue resolution.
Access and organize environment and nature information for research and analysis.
Run security checks, reviews, and automated analysis through an MCP server.
Enable AI agents to search the web and extract useful page content.
Fetch, crawl, and analyze web pages for SEO, extraction, and research.
Let AI agents search the web and extract webpage content.
Adds web search and content extraction to AI assistants with swappable backends.
Crawl websites, extract dynamic content, and save structured Markdown files.
Fetch, render, and extract readable web content into clean Markdown outputs.