How to Use the Shipday MCP in Google ADK

Q: How does Shipday handle complex tracking queries with Google ADK?

The gettrackingprogress tool provides real-time updates. Because of Gemini's long context window, your agent can take this progress data and correlate it against historical records or other large datasets for deep analysis.

Q: What happens if I need to modify a job using Shipday and Google ADK?

Use updateorderstatus to change the state. Your agent processes this update, ensuring the new status (e.g., 'Delayed') is correctly written back into your enterprise data set.

Q: Can I retrieve external carrier details with Shipday and Google ADK?

Yes. The getcarrierorder tool pulls specific, detailed records from the carrier's system. This keeps all necessary third-party logistics information within your BigQuery environment.

Q: Do I need to know the driver ID when listing jobs with Shipday and Google ADK?

No. You can first run listactiveorders to see all open job IDs, then use those IDs in subsequent calls to assign or check status.

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Connect Shipday MCP to Google ADK

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Setup Shipday with Google ADK

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Querying Large Datasets

Need to aggregate order history? Use `list_active_orders` to pull a list of every job currently in the system. This structured output feeds directly into your BigQuery tables for analysis. When you need deep details on a single shipment, call `get_order`. The resulting data structure is ready for long-context reasoning with Gemini models.

Managing Fleet Resources

You can manage your entire driver pool using the `list_drivers` tool. This output allows your agent to cross-reference available workers against current delivery needs. After identifying an open slot, use `assign_driver`. The resulting record confirms which worker ID is now attached to a specific order number in the system.

Handling Full Order Lifecycles

Starting a job requires calling `create_order` with all necessary inputs: customer details, restaurant info, and the unique order number. This establishes the record immediately. Later, if the delivery must be stopped or canceled, the agent can use `delete_order`. The transaction is recorded against the main system data set.

Setup guide

Set up Shipday 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 Shipday 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="Shipday_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Shipday 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 Shipday. 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 Shipday MCP in Google ADK

The `get_tracking_progress` tool provides real-time updates. Because of Gemini's long context window, your agent can take this progress data and correlate it against historical records or other large datasets for deep analysis.

Use `update_order_status` to change the state. Your agent processes this update, ensuring the new status (e.g., 'Delayed') is correctly written back into your enterprise data set.

Yes. The `get_carrier_order` tool pulls specific, detailed records from the carrier's system. This keeps all necessary third-party logistics information within your BigQuery environment.

No. You can first run `list_active_orders` to see all open job IDs, then use those IDs in subsequent calls to assign or check status.

The server handles customer contact information and the specific order numbers. This is the core PII that needs careful handling when streaming large amounts of data into BigQuery.

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