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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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`.
Set up Track-POD MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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.
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Common questions about Track-POD MCP in OpenAI Agents SDK
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