$ loading_
Search the web, fetch pages, and extract structured information efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "webmcp" yet — see the docs or source repo.
Use webmcp to find 5 competitor websites related to 'AI knowledge base', fetch their homepage and pricing page, extract positioning, key features, and pricing plans, then organize the results into a table.
A structured comparison table with website links, positioning, feature highlights, and pricing details.
Use webmcp to search for 'latest analysis of the EU AI Act', fetch 8 highly relevant pages, extract each article's key points, publication date, author, and applicable scenarios, then produce a summary list.
A concise summary list with source details and key information for quick topic understanding.
Use webmcp to visit the provided event page URL, extract the event name, date, location, organizer, registration method, and ticket price, then output the result as JSON.
Standardized JSON data ready for database entry or downstream automation.
Extract clean web content, links, structured elements, and search the web.
Search the web via SearXNG and fetch readable public web pages.
Enable self-hosted deep web research for AI agents without API keys.
Search the web and extract readable page content for AI workflows.
Add web search, page fetch, rendering, and transcript lookup to MCP clients.
Search the web across engines and extract page content without API keys.