Verify the SearXNG instance is running and accessible to diagnose connection issues and ensure the search service is operational before performing searches.
Discover available categories, engines, defaults, locales, and plugins from SearXNG instances. Optionally filter by category and include enabled or disabled engines.
An MCP server for SearXNG that provides LLM agents with advanced search tools, including engine and category targeting, multi-page fanout, and dynamic descriptions from the live engine pool.
Search the web to locate relevant pages, returning ranked hits with titles, URLs, and snippets. Use the results to choose which pages to read for full content.
Perform web searches using SearXNG API to gather information, find news and articles, or explore diverse online sources for general queries and recent events.
Query multiple search engines simultaneously using searXNG to aggregate results from Google, Bing, DuckDuckGo, and more. Access comprehensive web information even offline, simplifying efficient research.
Search the web using SearXNG, aggregating results from over 200 engines with privacy. Use categories to focus on specific content types or specify engines for precise sources.
Find information across web, academic sources, or library documentation with configurable search actions. Returns titles, URLs, and snippets; use extract for full page content.
Conduct comprehensive research by automatically searching multiple engines and sources, then analyzing and cross-referencing results to validate information and create detailed briefings.
Search the web across all enabled search engines. Returns merged, deduplicated results. Supports multi-page fetching, time range, language, and safe search filters.
Fetch a URL and get clean Markdown content. Use after search to read page text, with options to extract headings, sections, or paragraphs for token-efficient reading.
Discover all posts on a blog and write them into one aggregated Markdown file. Uses RSS/Atom feeds or HTML crawling to find post URLs, then fetches and cleans each article's text.