Plan optimal grocery and drug store shopping trip

Plans the optimal shopping trip for a given list and starting location in Germany. Answers 'where should I go to buy this list, and is the trip worth it?' — not

liveverifiedunknown~5s typical

mcpprobedofferhopper.ai—ai

$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-offerhopper-mcp-german-grocery-assistant /plan_optimal_shopping_route for me.

Input

Field	Type	Description
items*	string	The shopping list in natural language (e.g. '3x milk, eggs, bread')
location*	string	Starting location (ZIP code, city, or address in Germany)
end_location	string	Optional destination location if not a round trip
max_stores	integer	Maximum number of store stops to allow in the route (default: 100) default 100
max_radius_km	string	Maximum search radius in kilometers (defaults: car=15km, bicycle=5km, pedestrian=2km)
km_cost	string	Travel cost penalty per kilometer (forced to 0.0 for bicycle/pedestrian)
hour_cost	string	Time cost penalty in EUR per hour (defaults to 12.0)
shopping_time_per_store	string	Base shopping minutes spent per store (defaults to 10)
travel_mode	string (car \| bicycle \| pedestrian)	Travel mode to use default "car"

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-offerhopper-mcp-german-grocery-assistant","endpoint":"/plan_optimal_shopping_route","input":{"items":"...","location":"...","max_stores":100,"travel_mode":"car"}}'

cli

npx cracked-ai run -p mcp-ai-offerhopper-mcp-german-grocery-assistant -e /plan_optimal_shopping_route -i '{"items":"...","location":"...","max_stores":100,"travel_mode":"car"}'

mcp

run_tool({ provider: "mcp-ai-offerhopper-mcp-german-grocery-assistant", endpoint: "/plan_optimal_shopping_route", input: {"items":"...","location":"...","max_stores":100,"travel_mode":"car"} })

Try it

Runs against your signed-in workspace balance. Sign in if you have not.