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Searxng MCP

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by TadMSTR

Private web search MCP: SearXNG metasearch → ML reranking → 4-tier fetch cascade (Firecrawl / Crawl4AI / raw / Wayback) with per-domain learning, Ollama query expansion and synthesis. No cloud APIs.

rerankersearxngfirecrawlcrawl4aiollamamcpmodel-context-protocoltypescriptweb-search

Install

$docker run -d -p 11235:11235 unclecode/crawl4ai:0.8.6

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Tools (7)

clear_cache

Purge the search cache, fetch cache, crawl manifest cache, or all. Useful when researching fast-moving topics where cached results may be stale.

crawl_site

Crawl an entire site and return a manifest of URL/title/snippet for each page. Tries Firecrawl crawl first, falls back to sitemap parsing, then optional BFS. Full page content is cached in Valkey so follow-up fetchurl calls are zero-cost.

domain_stats

Read-only view of the domain capability database. With hostname: one domain's per-tier success rates and capability flags. Without: an aggregate across all tracked domains (per-tier success, worst failing domains, seen-but-never-fetched count). Returns MCP structured output (structuredContent) for p

fetch_url

Fetch and extract readable markdown from any public URL. GitHub hosts take the GitHub fast path; YouTube video URLs return the transcript and Reddit thread URLs return post+comments (both opt-in via robots, see below); all others use the fetch cascade (Firecrawl → Crawl4AI → raw HTTP). Trimmed to a

search

Search via SearXNG with local reranking. Fetches a wider result pool, reranks by relevance, returns top N. SearXNG's native direct answers, infoboxes, spelling corrections, and related suggestions are surfaced above the list and in structuredContent.

search_and_fetch

Search, rerank, then fetch full content of the top result(s) using the fetch cascade (Firecrawl → Crawl4AI → raw HTTP).

search_and_summarize

Search, fetch top results, then synthesize a summary with citations via Ollama (OLLAMASUMMARIZEMODEL). Falls back to raw fetched content if Ollama is unavailable.