Uber Eats MCP Server for Google ADK 14 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Uber Eats as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="uber_eats_agent",
instruction=(
"You help users interact with Uber Eats "
"using 14 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Uber Eats MCP Server
What you can do
Connect AI agents to the Uber Eats Marketplace API for complete restaurant and delivery management:
Google ADK natively supports Uber Eats as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- 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
The Uber Eats MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Uber Eats to Google ADK via MCP
Follow these steps to integrate the Uber Eats MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 14 tools from Uber Eats via MCP
Why Use Google ADK with the Uber Eats MCP Server
Google ADK provides unique advantages when paired with Uber Eats through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Uber Eats
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Uber Eats tools with BigQuery, Vertex AI, and Cloud Functions
Uber Eats + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Uber Eats MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Uber Eats and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Uber Eats tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Uber Eats regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Uber Eats
Uber Eats MCP Tools for Google ADK (14)
These 14 tools become available when you connect Uber Eats to Google ADK via MCP:
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)
Example Prompts for Uber Eats in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Uber Eats immediately.
"Show me all pending orders and accept them automatically"
"Update the price of 'Margherita Pizza' to R$45.90 and mark it as unavailable"
"Track the delivery status of order #12345 and tell me where the courier is"
Troubleshooting Uber Eats MCP Server with Google ADK
Common issues when connecting Uber Eats to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkUber Eats + Google ADK FAQ
Common questions about integrating Uber Eats MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Uber Eats to Google ADK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.