offerhopper.ai — AI Supermarket & Drugstore Shopping Assistant for Germany

Official1 tool

by mcp

Live prices, deals & optimal multi-stop shopping routes for German grocery & drug stores.

ai.offerhopper.mcp/german-grocery-assistant MCP Server

This MCP server provides German grocery and drug store guidance using live prices, deals, and optimal multi-stop shopping routes. The available functionality is exposed through a single tool (toolCount: 1), focused on helping users plan purchases across multiple store stops with up-to-date pricing and offers.

🛠️ Key Features

Live prices for German grocery and drug stores
Deals and offers information
Optimal multi-stop shopping route planning

🚀 Use Cases

Finding current prices while shopping in German grocery stores
Comparing deals for grocery and drug store items
Planning efficient routes across multiple store stops

⚡ Developer Benefits

Simple integration surface (1 tool)
Data-oriented output centered on prices, deals, and routing

Captured live from the server via tools/list.

plan_optimal_shopping_route

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), 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 verdict, and a shareable interactive grocery list. Supports car, bicycle, and pedestrian travel modes. For corridor trips (A-to-B), supply 'end_location' to route stores along the way.

Parameters9

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

Raw schema

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

Install

Tools (1)

plan_optimal_shopping_route

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://mcp.offerhopper.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "german-grocery-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.offerhopper.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

ai.offerhopper.mcp/german-grocery-assistant MCP Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

plan_optimal_shopping_route

Install

Remote endpoint

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