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

Remote
offerhopper.aiBusiness & Marketing

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

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

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.offerhopper.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
itemsstringYesThe shopping list in natural language (e.g. '3x milk, eggs, bread')
km_costanyNoTravel cost penalty per kilometer (forced to 0.0 for bicycle/pedestrian)
locationstringYesStarting location (ZIP code, city, or address in Germany)
hour_costanyNoTime cost penalty in EUR per hour (defaults to 12.0)
max_storesintegerNoMaximum number of candidate stores to evaluate for the route (default: 100)
travel_modeenumNoTravel mode to usecar | bicycle | pedestrian
end_locationanyNoOptional destination location if not a round trip
max_radius_kmanyNoMaximum search radius in kilometers (defaults: car=15km, bicycle=5km, pedestrian=2km)
shopping_time_per_storeanyNoBase shopping minutes spent per store (defaults to 10)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.