SearXNG MCP Server
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Alternatives to SearXNG MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceEnables web search capabilities via a SearXNG instance, allowing for filtered searches across categories like news, images, and science. It supports multi-language queries, time-range filtering, and safe search options to provide formatted results with metadata.1221 npmMIT
- AlicenseAqualityAmaintenanceEnables privacy-friendly web searches through the SearXNG engine, with support for multiple engines, categories, languages, time ranges, and configurable result counts.1418 PyPIAGPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.221 npm27MIT
- AlicenseAqualityDmaintenanceEnables web search, image search, and news search through a self-hosted SearXNG instance. Provides privacy-focused meta-search capabilities aggregating results from multiple search engines.3221 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables web search through SearXNG instances, offering tools for general and category-specific queries, engine selection, time filtering, and engine discovery.MIT
- FlicenseAqualityDmaintenanceEnables privacy-respecting web, image, video, and news searches through SearxNG metasearch engine, with options for URL fetching and time filtering.567 PyPI-
TDQS
Scored across 6 tools
The tools are mostly distinct: settings get/set/reset are clearly separated, and the UI app is visibly different from raw search. However, web_search and searxng_ingest_search both perform SearXNG searches, so an agent must read descriptions carefully to choose between plain search and graph-ingesting search.
Five tools consistently use the searxng_ prefix with clear verb/object naming (ingest_search, get_settings, set_settings, reset_settings, search_app). The lone web_search tool is an understandable but noticeable deviation from that pattern.
Six tools is well-scoped for a SearXNG server: core search, graph ingestion, settings lifecycle, and an interactive UI. Each tool has a clear purpose, and none feels redundant or excessive.
The surface covers search, ingestion, full embedded-settings lifecycle, and an interactive UI, so there are no major dead ends. Minor gaps remain around richer search-result inspection or external-instance configuration, but core workflows are covered.