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How to Use the Uber Eats MCP in Google ADK

Manage your entire Uber Eats supply chain using Google ADK's enterprise capabilities.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Uber Eats MCP to Google ADK

Create your Vinkius account to connect Uber Eats to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Track every order status with MCP Server

Your agent client runs `get_orders` to pull a comprehensive list of orders. You can filter this massive dataset by any status—from PENDING to DELIVERED. This lets you monitor the entire operational flow in one place. Need details on an order? The agent pulls full data using `get_order`, verifying special instructions and checking item contents before any acceptance happens.

Handle complex Uber Eats logistics via MCP Server

The system uses `get_delivery_status` to track progress, helping answer customer questions instantly. You can also call `cancel_order`, but remember this only works after the order has already been accepted and requires a specific reason code. Use `mark_order_ready` when food is packaged and waiting for the courier. It sends the signal that dispatch should start immediately.

Review store details with Uber Eats ADK

Before doing anything, your agent runs `get_stores` to list all associated restaurants. This provides external IDs and operational status for every location. Need the full menu? The client uses `get_menus`, which gives you the complete catalog and item structure needed for inventory management across multiple sites.

Setup guide

Set up Uber Eats MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Uber Eats tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Uber Eats_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Uber Eats tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uber Eats. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Uber Eats MCP in Google ADK

The agent runs `get_orders` and processes the data into actionable insights. It helps you track which orders are waiting for acceptance, or if they've already been marked as preparing.
You use `update_menu_item_availability`. This tool lets you toggle an item's availability status for a specific store ID and menu item ID. It’s the quickest way to mark ingredients as depleted.
You can call `get_order_issues` on any order ID. This gives you a clean record of past complaints, including resolution status and timestamps of when the issues were reported.
The server handles core transactional data: item descriptions, customer contact information (for delivery), order totals, and special instructions provided by the user.
You can use `get_store` to verify that your store configuration and operational settings match platform requirements. This confirms you're ready for any order.

Start using the Uber Eats MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 14 tools

We've already built the connector for Uber Eats. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 14 tools are live and waiting. You're up and running in seconds.

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