store
S
store
/get_product_recommendations

Get Product Recommendations

Get personalized product and variant recommendations based on customer intent, budget, recipient profile, room type, and lighting conditions.

liveverifiedunknown~5s typical
mcpprobedstore
$0.0020
per call
plus $0.001 platform fee per run
Open MCP server; Cracked bills routing only
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-bolotstudio-store /get_product_recommendations for me.

Input

FieldTypeDescription
intent*stringCustomer intent: gift, home_decor, valentines, birthday_50, memorial, desk_display, home_c
budgetnumberMaximum budget in EUR
recipient_profilestringWho is this for: partner, mother, father, man_who_has_everything, woman, couple, pet_lover
room_typestringRoom type: living_room, bedroom, office, bathroom, kitchen, entertainment_room
lightingstringRoom lighting: bright, dim, mixed
countrystringISO 3166-1 alpha-2 or alpha-3 country code for geo-pricing (e.g. 'PL', 'DE', 'GB', 'DEU',
localestringLocale code for localized URLs (e.g. 'en', 'pl', 'de')

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-com-bolotstudio-store","endpoint":"/get_product_recommendations","input":{"intent":"..."}}'
cli
npx cracked-ai run -p mcp-com-bolotstudio-store -e /get_product_recommendations -i '{"intent":"..."}'
mcp
run_tool({ provider: "mcp-com-bolotstudio-store", endpoint: "/get_product_recommendations", input: {"intent":"..."} })

Try it

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