Rank a repo's deployable surfaces and pick the right one (deterministic)

For a repo with SEVERAL runnable parts, call this BEFORE plan_deploy. You enumerate the candidate surfaces (find every Dockerfile/Containerfile, OPEN each, clas

liveunknown~5s typical

mcpmcp

$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-redu-mcp /select_surface for me.

Input

Field	Type	Description
surfaces*	array	EVERY runnable surface you found (run `find . -name Dockerfile -o -name Containerfile`, op
mode	string (guided \| yolo)	Drive mode; omit to use the session's sticky mode.

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-redu-mcp","endpoint":"/select_surface","input":{"surfaces":[]}}'

cli

npx cracked-ai run -p mcp-cloud-redu-mcp -e /select_surface -i '{"surfaces":[]}'

mcp

run_tool({ provider: "mcp-cloud-redu-mcp", endpoint: "/select_surface", input: {"surfaces":[]} })

Try it

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