How to Use the Track-POD MCP in Google ADK

Q: How does Google ADK help me track a Track-POD order?

You use getorderbynumber. The agent pulls the precise details of that delivery record, allowing you to monitor its status against your established BigQuery data models.

Q: Can I list all existing orders using Track-POD and Google ADK?

Yes, call listorders. This action pulls the full manifest of every shipment in the system. Because it integrates with BigQuery, this data is ready for immediate large-scale analysis.

Q: Does the MCP Server allow me to test my connection using Track-POD and Google ADK?

You can run testapiconnection. This tool verifies your API key and connectivity status. It’s a quick way to ensure the entire data pipeline is ready for production use.

Build enterprise agents for Google ADK, processing massive Track-POD logistics data using BigQuery context.

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Connect Track-POD MCP to Google ADK

Create your Vinkius account to connect Track-POD 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 Track-POD with Google ADK

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Automate new order creation in Google ADK.

To start a shipment, the agent calls `create_order`. You provide the required order number and client name. The system immediately processes this request, making it an official record within Track-POD. This tool ensures that every single delivery is logged correctly from the moment you initiate the process.

Get full visibility into all deliveries via Google ADK.

When you need a broad overview, simply use `list_orders`. The agent retrieves a complete list of all historical and current Track-POD orders. This data can then be fed directly into BigQuery for deeper analysis. Need to check one specific order? Use `get_order_by_number` to pull the exact details you need, ensuring nothing gets missed.

Identify available vehicles and personnel using MCP Server.

The agent needs to confirm assets before planning. It pulls a complete inventory of trucks via `list_vehicles`, giving you real-time data on capacity and location. It also maintains a detailed list of all employees ready for work through the `list_drivers` tool, helping your agents assign jobs efficiently.

Setup guide

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

You use `get_order_by_number`. The agent pulls the precise details of that delivery record, allowing you to monitor its status against your established BigQuery data models.

The server provides core ERP operational data: order records, driver lists, vehicle inventories, and predefined delivery routes. All this is designed to be accessible by your Gemini agents.

Yes, call `list_orders`. This action pulls the full manifest of every shipment in the system. Because it integrates with BigQuery, this data is ready for immediate large-scale analysis.

You can run `test_api_connection`. This tool verifies your API key and connectivity status. It’s a quick way to ensure the entire data pipeline is ready for production use.

It handles logistics metadata: order numbers, client names, driver profiles, vehicle details, and delivery route definitions. This core operational data is exposed to your agent.

Use it with your favorite AI tools

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