searxng-mcp
Related Servers
Alternatives to searxng-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA fully local MCP server that provides web search via self-hosted SearXNG and page-to-markdown conversion (static and JS-rendered), all aggregated behind a single endpoint for use with AI assistants.MIT
- AlicenseAqualityBmaintenancePrivacy-respecting web search MCP server for AI assistants using SearXNG, with web search, URL reading, instance failover, and caching.48,543 npm1MIT
- AlicenseNot gradedqualityAmaintenanceA minimal MCP server that exposes a private SearXNG instance as a search tool over streamable-HTTP, enabling web search from the llama.cpp WebUI or any compatible MCP client.3MIT
- AlicenseNot gradedqualityBmaintenanceOffline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-lingual search, semantic re-ranking, and direct-answer extraction.ISC
- AlicenseNot gradedqualityCmaintenanceMCP server for web search and content extraction using DuckDuckGo or SearXNG, with Playwright-based fetching and LLM-powered data extraction.139MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.4MIT
TDQS
Scored across 7 tools
Each tool occupies a distinct stage of a research pipeline: search only, search+fetch, search+summarize, direct URL fetch, site crawl, cache control, and stats. The progressive search variants are explicitly differentiated by what they return and when they fetch. No two tools appear interchangeable.
Most tools use a clear verb or verb_and_verb pattern: search, search_and_fetch, search_and_summarize, fetch_url, crawl_site, clear_cache. domain_stats is the only noun-style outlier, but it is still readable and fits the utility's purpose. Overall the convention is predictable.
Seven tools is a well-scoped set for a SearXNG-backed research server. Each tool adds a distinct capability without redundancy. The count is appropriate for the purpose.
The surface covers the full research loop: search, retrieve content, summarize, crawl, cache control, and diagnostics. There are no obvious dead ends for common workflows. The set feels complete for the server's stated purpose.