How to Use the Deliveroo MCP in Google ADK

Connect Deliveroo restaurant operations to Google ADK to build enterprise agents powered by Gemini's long-context reasoning.

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Connect Deliveroo MCP to Google ADK

Create your Vinkius account to connect Deliveroo 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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Setup Deliveroo with Google ADK

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Process Deliveroo queues with Google ADK

The `get_orders` tool feeds raw delivery requests straight into Gemini's massive context window. Your agent analyzes dozens of pending tickets simultaneously to identify overlapping prep requirements. Handling the strict 10-minute acceptance window requires calling `update_order_status` immediately. You'll use the tool_names filter in your initialization to restrict a specific agent solely to this acceptance task for safety.

Broadcast prep stages via MCP Server

The `create_prep_stage` operation tells the delivery platform exactly where a meal is in the kitchen workflow. Gemini reads your local tracking database and pushes updates to keep drivers informed. Local register integrations rely on `create_sync_status` to report back on POS injection. BigQuery pipelines pull these exact sync events to track system reliability over time.

Retrieve isolated transaction records

The `get_order` tool extracts the full payload for an individual purchase. Enterprise setups use this to cross-reference specific items against Vertex AI inventory models. Passing the Vinkius endpoint URL into StreamableHttpServerParameters exposes this fetch capability natively. The HTTP transport handles the network layer while your agent focuses on parsing the dietary requests.

Setup guide

Set up Deliveroo 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

Install Google ADK

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

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

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 Deliveroo 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="Deliveroo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Deliveroo tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deliveroo. 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.

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Common questions about Deliveroo MCP in Google ADK

Run pip install google-adk to get the framework. Create an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Inject that toolset into your LlmAgent constructor.

You control exactly what the agent sees. Pass an array of strings to the tool_names argument to restrict access. This prevents a read-only agent from accidentally accepting a ticket.

The platform requires an acceptance or rejection within roughly 10 minutes. Your Gemini agent must poll the queue and execute the status update before that timer expires.

The tools themselves only talk to the restaurant API. Your agent takes the retrieved JSON and writes it to your cloud infrastructure.

Ephemeral zero-trust execution ensures nothing sticks around. Granular order details and POS injection payloads pass through the V8 Isolate Sandbox and vanish immediately. Vinkius maintains zero logs of your specific transaction contents.

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