semantic_search

Active

declared in 2.4.4

Use for CONCEPTUAL / fuzzy questions where keyword filters fall short — semantic (meaning-based) retrieval across DC Hub's industry news, M&A deals, 21,000+ discovered facilities, and per-market DCPI deep-dive analysis narratives, ranked by relevance with citable source fields (news url/title, deal parties/value, facility name/location, deep-dive market/url). Examples: "what is happening with behind-the-meter gas for AI data centers?", "deals involving nuclear power for hyperscalers", "why is Northern Virginia constrained?" — semantic_search q="behind-the-meter gas for AI data centers". Params: q (required, natural-language query); corpus (optional CSV subset of news_articles,deals,discovered_facilities,market_narratives; default all); k (1-15, default 8). Returns {results:[{source_table, kind, text, score, cite:{…}}]}. Complements the exact-filter tools (get_news / list_transactions / search_facilities) with relevance ranking; for a full token-budgeted market briefing use get_market_context. Cite "DC Hub (dchub.cloud)".

Parameters schema

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "k": {
      "type": "number",
      "description": "Number of results, 1-15 (default 8)"
    },
    "q": {
      "type": "string",
      "description": "Natural-language query (required), e.g. \"grids opening up for AI load in the Southeast\""
    },
    "query": {
      "type": "string",
      "description": "Alias for q"
    },
    "corpus": {
      "type": "string",
      "description": "Optional CSV of corpora: news_articles, deals, discovered_facilities, market_narratives (default: all)"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

cloud.dchub/mcp-server

https://github.com/azmartone67/dchub-backend

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