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Search, scrape, crawl, and research web data from one MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "novada-mcp" yet — see the docs or source repo.
Use novada-mcp to find 5 competitor websites, scrape their pricing pages, feature pages, and blog homepages, then organize the results into a comparison table with product name, target users, key features, price range, and latest updates.
A structured competitor comparison table summarizing key information from multiple websites.
Using novada-mcp, search for articles about 'AI agent observability', scrape the titles and body text of the top 20 results, deduplicate them, group them by theme, and output summaries.
Theme-based research summaries with source links and extracted article content.
Use novada-mcp to perform a deep crawl of a target site within 3 link levels; if access is restricted, enable proxying, then output a sitemap plus each page's title, description, and main text.
A sitemap and page content dataset for downstream analysis, indexing, or knowledge base creation.
Search the web and read single or multiple pages efficiently.
Search the web with natural language and quickly gather external information.
Enable self-hosted deep web research for AI agents without API keys.
Scrape web content and search documentation through a FastMCP-powered MCP server.
Deploy an auth-free web search MCP server for AI tool integration.
Use natural language to get weather updates and web search results.