Semantic Search

Perform semantic search using vector embeddings with FAISS acceleration. Args: query: Natural language search query (required) max_resu

liveunknown~5s typical

mcpspecproof

$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-ai-specproof-specproof-mcp /semantic_search for me.

Input

Field	Type	Description
query*	string
max_results	integer	default 5
similarity_threshold	number	default 0.3
index_type	string

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-ai-specproof-specproof-mcp","endpoint":"/semantic_search","input":{"query":"...","max_results":5,"similarity_threshold":0.3}}'

cli

npx cracked-ai run -p mcp-ai-specproof-specproof-mcp -e /semantic_search -i '{"query":"...","max_results":5,"similarity_threshold":0.3}'

mcp

run_tool({ provider: "mcp-ai-specproof-specproof-mcp", endpoint: "/semantic_search", input: {"query":"...","max_results":5,"similarity_threshold":0.3} })

Try it

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