Can I see all the orders for a specific client?

Yes! Use the `list_orders` tool. While it returns the full list, you can ask the AI agent to filter or identify all records matching a specific client name.

How do I create a new delivery order via AI?

Use the `create_order` tool. You'll need to provide an Order Number, the Client Name, and an optional delivery address to register the new task in Track-POD.

Is it possible to list all the drivers currently available in the fleet?

Absolutely. Use the `list_drivers` query. The agent will retrieve the complete directory of delivery drivers associated with your account, helping you coordinate assignments.

INSTANT PLUG AND PLAY

Track-POD MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Create Order, Get Order By Number, List Drivers, and more

Name: Track-POD
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Track-POD through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Track-POD app connector for OpenAI Agents SDK is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Track-POD Assistant",
            instructions=(
                "You help users interact with Track-POD. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Track-POD"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Track-POD MCP Server

Connect your Track-POD delivery automation account to any AI agent and simplify how you coordinate your logistics, track orders, and manage your fleet through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Track-POD through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Track-POD, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Order Management — List all delivery orders and create new unscheduled tasks with client details and addresses.
Route Oversight — List and monitor active or planned delivery routes to ensure on-time fulfillment.
Fleet Coordination — Query your directory of drivers and vehicles to understand availability and distribution.
Real-time Tracking — Fetch detailed metadata for specific orders using their unique order numbers.
Operational Monitoring — Verify API connectivity and check rate limits directly from the agent.
Logistics Insights — Retrieve high-level summaries of your delivery ecosystem status.

The Track-POD MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Track-POD tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Track-POD through Vinkius, your AI agent gets direct access to every tool listed below — spanning delivery-management, route-optimization, proof-of-delivery, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_order

Requires order number and client name. Create a new delivery order

get_order_by_number

Get details for a specific order

list_drivers

List all drivers

list_orders

List all Track-POD orders

list_routes

List delivery routes

list_vehicles

List all vehicles

test_api_connection

Test API key and connection

Connect Track-POD to OpenAI Agents SDK via MCP

Follow these steps to wire Track-POD into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from Track-POD

Why Use OpenAI Agents SDK with the Track-POD MCP Server

OpenAI Agents SDK provides unique advantages when paired with Track-POD through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Track-POD + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Track-POD MCP Server delivers measurable value.

Automated workflows: build agents that query Track-POD, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Track-POD, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Track-POD tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Track-POD to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Track-POD in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Track-POD immediately.

"List all active delivery routes in my account."

"Show me the details for order #ORD-8823."

"Create a new order #ORD-9902 for 'Tech Solutions' at '123 Main St'."

Troubleshooting Track-POD MCP Server with OpenAI Agents SDK

Common issues when connecting Track-POD to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Track-POD + OpenAI Agents SDK FAQ

Common questions about integrating Track-POD MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.