Semantic Search

Use for CONCEPTUAL / fuzzy questions where keyword filters fall short — semantic (meaning-based) retrieval across DC Hub's industry news, M&A deals, 20,100+ dis

liveverifiedunknown~5s typical

mcpprobedmcp-server

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-cloud-dchub-mcp-server /semantic_search for me.

Input

Field	Type	Description
q	string	Natural-language query (required), e.g. "grids opening up for AI load in the Southeast"
query	string	Alias for q — the same natural-language query; send exactly one of q/query
corpus	string	Optional CSV of corpora: news_articles, deals, discovered_facilities, market_narratives (d
k	number	Number of results, 1-15 (default 8)

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-cloud-dchub-mcp-server","endpoint":"/semantic_search","input":{}}'

cli

npx cracked-ai run -p mcp-cloud-dchub-mcp-server -e /semantic_search -i '{}'

mcp

run_tool({ provider: "mcp-cloud-dchub-mcp-server", endpoint: "/semantic_search", input: {} })

Try it

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