search

Semantic + lexical search over the corpus. Returns verses, documents, track passages and titles matching a natural-language query, each with the id needed to fe

liveverifiedunknown~5s typical

mcpprobedcorpus

$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-app-listentosadhu-corpus /search for me.

Input

Field	Type	Description
author_id	string	Commentator (document) / speaker (track).
date_from	string	Track date lower bound YYYY-MM-DD.
date_to	string	Track date upper bound YYYY-MM-DD.
kind	string	Document (commentary\|prose_chapter\|letter) or track (lecture\|conversation) subtype.
lang	string	Result language (ISO-639-1).
limit	number	Max results (default 10, max 50).
location_id	string	Track location.
min_score	number	Drop hits scoring below this cosine floor (0..1, default 0 = no floor).
query*	string	Natural-language query.
source	string	Restrict to a book ("BG" / source_id).
tokens	string	With source, restrict to a reference. A bare chapter number covers the WHOLE chapter ("7"
types	array	Subset of verse\|document\|track\|title\|media (default all). A `media` hit is a short video c

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-app-listentosadhu-corpus","endpoint":"/search","input":{"query":"..."}}'

cli

npx cracked-ai run -p mcp-app-listentosadhu-corpus -e /search -i '{"query":"..."}'

mcp

run_tool({ provider: "mcp-app-listentosadhu-corpus", endpoint: "/search", input: {"query":"..."} })

Try it

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