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Uber Eats

Uber Eats MCP Server

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AI restaurant management: manage orders, menus, deliveries, and store operations via agents.

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High Security·Kill Switch·Plug and Play
Uber Eats
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What is the Uber Eats MCP Server?

The Uber Eats MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Uber Eats via 14 tools. AI restaurant management: manage orders, menus, deliveries, and store operations via agents. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (14)

accept_ordercancel_ordercomplete_orderget_delivery_statusget_menusget_orderget_order_issuesget_ordersget_storeget_storesmark_order_prep_startedmark_order_readyreject_orderupdate_menu_item_availability

Tools for your AI Agents to operate Uber Eats

Ask your AI agent "Show me all pending orders and accept them automatically" and get the answer without opening a single dashboard. With 14 tools connected to real Uber Eats data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Uber Eats MCP Server capabilities

14 tools
accept_order

This notifies the customer that the restaurant is preparing their food and triggers courier assignment by Uber Eats. Required before marking order as ready for pickup. Use this to acknowledge incoming orders and begin food preparation. Should be done promptly to maintain good restaurant ratings. Accept a pending Uber Eats order to confirm preparation

cancel_order

This is different from rejection - cancellation happens after acceptance and may result in customer dissatisfaction and potential platform penalties. Requires a cancellation reason. Use only when absolutely necessary (kitchen emergency, safety issue, or unavoidable circumstance). Cancel an already accepted Uber Eats order

complete_order

This should be called after confirmation that the delivery was successful. Closes the order lifecycle and triggers final payment processing. Use this to confirm order completion. Mark an order as fully completed (delivered and finalized)

get_delivery_status

Use this to track delivery progress, answer customer inquiries about their order, or coordinate with couriers. Get real-time delivery tracking status for an Uber Eats order

get_menus

Use this to review menu structure, check which items are available/out of stock, or get menu item IDs needed for availability updates. Get complete menu catalog for a specific Uber Eats restaurant

get_order

Use this to review order contents before accepting, verify special instructions, or prepare items correctly. Get complete details of a specific Uber Eats delivery order

get_order_issues

Returns issue descriptions, timestamps, resolution status, and any refunds issued. Use this to review and address order problems, improve quality, and handle disputes proactively. Get reported issues and complaints for a specific Uber Eats order

get_orders

Can filter by status: PENDING (awaiting restaurant acceptance), ACCEPTED (restaurant confirmed), PREPARING (food being prepared), READY (ready for courier pickup), DELIVERED (completed), CANCELLED, or REJECTED. Returns order IDs, customer info, items ordered, totals, special instructions, and timestamps. Use this to monitor order flow, track pending orders requiring action, or review completed deliveries. List all orders for your Uber Eats restaurants with optional status filter

get_store

Use this to review store configuration, verify delivery settings, or check operational status. Get detailed information about a specific Uber Eats restaurant/store

get_stores

Returns external store IDs, names, addresses, operating status, and business details. Use this tool first to get your store IDs, which are required for all other menu and order management operations. List all restaurants/stores associated with your Uber Eats merchant account

mark_order_prep_started

Updates order status to PREPARING and notifies the customer. Use this to keep customers informed about their order progress and provide accurate delivery time estimates. Mark that food preparation has started for an accepted order

mark_order_ready

This triggers courier dispatch notification. Use this when food is complete and waiting for courier arrival. Couriers will be routed to your location for pickup. Mark order as ready for courier pickup (food is packaged and waiting)

reject_order

The customer is notified and refunded automatically. Provide a reason code: "item_unavailable" (key ingredients out of stock), "too_busy" (kitchen at capacity), "kitchen_closed" (outside operating hours), or "other". Use this when unable to fulfill an order. Excessive rejections may affect restaurant visibility on the platform. Reject a pending Uber Eats order when unable to fulfill it

update_menu_item_availability

Set available=true to mark item as in-stock and orderable, or available=false to mark as out-of-stock. Common use: quickly mark items as unavailable when ingredients run out, then re-enable when restocked. Requires external store ID and menu item ID from get_menus result. Toggle availability status of a menu item (mark as in-stock or out-of-stock)

What the Uber Eats MCP Server unlocks

What you can do

Connect AI agents to the Uber Eats Marketplace API for complete restaurant and delivery management:

  • Monitor incoming orders in real-time with status tracking (PENDING → ACCEPTED → PREPARING → READY → DELIVERED)
  • Accept or reject orders instantly based on kitchen capacity
  • Manage restaurant menus — update prices, availability, descriptions, dietary tags
  • Review order details including customer info, items, special instructions, and totals
  • Track delivery status with real-time courier GPS location and ETA
  • Handle order issues including customer complaints and refund requests
  • View store information and configuration across all registered locations
  • Mark orders ready for courier pickup when food is prepared

How it works

1. Connect your Uber Eats merchant account via OAuth token from Uber Developer Portal
2. Ask your AI agent to check orders, update menus, track deliveries, or manage stores
3. Natural language commands replace manual Uber Eats Manager app navigation
4. Automate repetitive tasks like accepting orders, updating availability, and tracking deliveries

Who is this for?

Essential for restaurant owners, food delivery managers, multi-location food businesses, ghost kitchen operators, franchise managers, and POS system integrators using Uber Eats. Let AI agents handle order monitoring, menu maintenance, delivery tracking, and store management. Perfect for businesses processing 20+ daily orders who want faster response times, reduced manual oversight, and streamlined operations across multiple restaurant locations.

Frequently asked questions about the Uber Eats MCP Server

01

Does this work for Uber Eats customers or only merchants?

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.

02

Can I automatically accept all incoming orders?

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.

03

Does this support multiple restaurant locations?

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.

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