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Connect self-hosted web search and page extraction to LLM clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Searcharvester MCP Server" yet — see the docs or source repo.
Use Searcharvester to search for "2025 vector database performance benchmarks," return the top 5 results, and extract the key findings and source links from each page.
A structured list containing search results, page summaries, key findings, and source links.
Please extract the main content from these 3 webpages, remove navigation and ads, keep only the title, publication date, summary, and source link, and compile them into a table.
A cleaned summary table ready for further analysis or downstream LLM processing.
Search for "open-source RAG evaluation tools," automatically paginate until 20 highly relevant results are collected; if a page fails, retry or switch to a fallback automatically.
A complete deduplicated result set with stable extraction supported by failover recovery.
Search a self-hosted SearXNG instance and get structured web results.
Enable self-hosted deep web research for AI agents without API keys.
Integrates SearXNG search with pagination, filters, and URL content extraction.
Search the web privately with pagination and direct URL content reading.
Search the web, fetch pages, and extract useful online information for AI assistants.
Connects a self-hosted SearXNG instance for customizable web search via MCP.