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How to Use the Track-POD MCP in OpenAI Agents SDK

Build reliable logistics agents for OpenAI Agents SDK, ensuring every Track-POD action is safe and traced.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Track-POD MCP to OpenAI Agents SDK

Create your Vinkius account to connect Track-POD to OpenAI Agents SDK 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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Manage the full delivery lifecycle.

The agent uses `create_order` to formally kick off a new delivery. You pass an order number and client name, and the system immediately registers the job in Track-POD. Need visibility into existing shipments? The tool can pull details for any specific shipment using `get_order_by_number`. It also lets you fetch full manifests of all deliveries via `list_orders`.

Check the status of vehicles and drivers.

Before assigning a job, your agent must know what's available. You can pull a definitive list of current assets using `list_vehicles`, giving you the plate number and capacity for every truck. Similarly, it pulls a complete roster of people ready to work with `list_drivers`. This ensures that when an order is placed, the system knows exactly who's available in the field.

Run complex route planning using MCP Server.

The agent doesn't just list routes; it can pull a full manifest of all configured delivery paths with `list_routes`. This is critical for validating that an order falls within an expected zone. Furthermore, the tool provides necessary foundational data by letting you see every possible route using `list_routes` and confirming which drivers are available via `list_drivers`.

Setup guide

Set up Track-POD MCP in OpenAI Agents SDK

Prerequisites

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

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Track-POD tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Track-POD tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Track-POD tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Track-POD Agent",
            instructions="You have access to Track-POD tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

Why Choose Vinkius

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Real-time monitoring

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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 Track-POD MCP in OpenAI Agents SDK

You call the `get_order_by_number` tool, passing in the specific order number. The agent returns all associated details, including status and assigned drivers. This keeps your entire deployment traceable.
The server handles operational logistics data, specifically order records, driver assignments, vehicle inventory, and planned routes. The agent uses this context to make decisions.
Yep. Simply call `list_orders`. This pulls a comprehensive manifest of every delivery record currently held in the system, giving you a full view of your operations.
Absolutely. There's a `test_api_connection` tool built right in. It runs an immediate check on your API key and connectivity, so you know your entire pipeline is up before deployment.
It deals with operational logistics data: order numbers, client names, driver details, vehicle IDs, and route information. This is all core ERP operational data.

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