Connect Uber Eats MCP for AI Agents

This MCP lets you get and use all your store IDs at once. You can then run menu updates, check operational statuses, or list complaints across every single location from one command.

Yes, you can check for all pending orders and tell your agent to accept them. However, it's smart to review order details first, especially checking special instructions or confirming kitchen capacity.

The MCP manages the status flow, but you should always use get_delivery_status to manually check in with your team. It helps you track progress and coordinate pickups accurately.

It lets you manage the availability of items through update_menu_item_availability. When ingredients run out, you can mark them unavailable immediately so customers can't order them.

Absolutely. You can run a query using get_order_issues to pull up reports on all recorded problems, timestamps, and whether refunds were issued for specific orders.

This MCP server is designed exclusively for Uber Eats merchants (restaurant owners). It uses the Uber Eats Marketplace API to manage orders, menus, deliveries, and store operations. Consumer-side features (browsing restaurants, placing orders) require the Uber consumer app. If you're a restaurant owner using Uber Eats for delivery, this is for you.

Yes! AI agents can monitor pending orders and auto-accept them based on your criteria. You can set up automation rules to accept orders instantly during business hours, reject when kitchen is at capacity, or flag special instructions for manual review. This significantly reduces response times and improves restaurant ratings on the platform.

Absolutely. The API returns all stores associated with your merchant account. Each tool requires a store_id parameter, so you can manage operations independently across all your restaurant locations. AI agents can list all your stores first to get their IDs, then manage menus, orders, and settings for each location separately.