ai.offerhopper.mcp/german-grocery-assistant

Est-ce que ai.offerhopper.mcp/german-grocery-assistant est sûr ?

Au dernier audit MCP Hub, le serveur MCP « ai.offerhopper.mcp/german-grocery-assistant » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 2 outils

• plan_optimal_shopping_route≈ 696 tokens

  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 'what's on offer near me'. Matches each item on the list to the best current offer across German supermarkets and drug stores (REWE, Aldi, Lidl, Penny, Netto, Norma, Edeka, DM, Rossmann, Mueller, Globus), then computes the cheapest realistic route by weighing product prices against travel distance and shopping time. Returns the chosen store(s), the per-item picks with live prices, the trip's savings and a worth-it Supports car, bicycle, and pedestrian travel modes. For corridor trips (A-to-B), supply 'end_location' to route stores along the way. Pricing note: 'price' is the standard shelf price available to all shoppers (do NOT say discounts require an app). 'app_credit' is optional wallet cashback (e.g. REWE Bonus: plus €0.50 into wallet). 'app_price' is an app-exclusive checkout price (e.g. Lidl Plus).

  Paramètres, retour & exemple (9)

  Paramètres

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

  Exemple d'appel

  {"name": "plan_optimal_shopping_route", "arguments": {"items": "texte", "location": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• swap_route_item≈ 425 tokens

  Swaps one item's chosen offer on an existing shopping route (from a prior plan_optimal_shopping_route result) for one of its alternatives, then returns the RECOMPUTED route with corrected costs and the honest worth-it verdict. Use this to correct a poor pick (e.g. the engine matched a soup hen instead of a roasting chicken) or to take a cheaper/better option the agent spotted in the item's 'alternatives'. The alternative may be at the SAME store or at ANOTHER store ALREADY ON THE ROUTE — it must be the same item category, and its store must already be a stop (no new stores; for that, call plan_optimal_shopping_route again). Keys on stable offer ids: pass the current item's offer_id and the target alternative's offer_id (both taken verbatim from the prior response's products_to_buy / alternatives). The shared route (share_url) is updated in place so the interactive map reflects the swap.

  Paramètres, retour & exemple (3)

  Paramètres

  • share · string · requis
    The share_url (or its 8-char id) returned by plan_optimal_shopping_route
  • alt_id · string · requis
    offer_id of the alternative to swap in (from that item's 'alternatives')
  • offer_id · string · requis
    offer_id of the item currently on the route (from products_to_buy)

  Exemple d'appel

  {"name": "swap_route_item", "arguments": {"share": "texte", "alt_id": "texte", "offer_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://mcp.offerhopper.ai/mcp