How to Use the SafeCube Container Tracking MCP in OpenAI Agents SDK

Q: How do I connect SafeCube Container Tracking to the OpenAI Agents SDK?

Initialize MCPServerStreamableHttp with your endpoint URL. Pass the resulting server object into your agent's mcpservers array. Set cacheToolsList=True to speed up initialization.

Q: Can the agent track multiple containers at once?

Yes. The client calls listactiveshipments to get the IDs, then loops through getcontainertracking for each one.

Q: Does SafeCube Container Tracking work with OpenAI Agents SDK handoffs?

It works perfectly. A triage agent pulls data via getshipmentevents and hands the exact delay metrics off to a customer service agent.

Q: How do I handle SafeCube API downtime in my OpenAI Agents SDK app?

Add checkapistatus to your agent instructions as a pre-flight check. The agent verifies uptime before attempting to pull freight coordinates.

Build production logistics agents with OpenAI Agents SDK that audit maritime containers and track global freight.

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MCP Servers — Included with Plan

Connect SafeCube Container Tracking MCP to OpenAI Agents SDK

Create your Vinkius account to connect SafeCube Container Tracking to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SafeCube Container Tracking with OpenAI Agents SDK

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Track global freight through your MCP Server

`get_container_tracking` feeds exact maritime coordinates directly into your agent logic. Your client requests the container ID, and the MCP Server returns the current physical location. OpenAI Agents SDK handles the routing. You configure a dedicated tracking agent that triggers this tool, pulls the location, and hands off the data to an inventory agent. No manual polling required.

Audit shipment events with guardrails

`get_shipment_events` dumps the complete chronological history of a specific shipment ID. You get timestamps, port departures, and customs clearance notices straight from the MCP Server. Production systems need boundaries. You write OpenAI guardrails that block the agent from notifying customers until the final arrival event appears in the history.

Monitor active loads at scale

`list_active_shipments` returns the full manifest of active freight in your account. The agent pulls the array and iterates through each active ID. Network calls fail. That's why your agent runs `check_api_status` before iterating over thousands of shipments. If the SafeCube service drops, the SDK pauses execution instead of throwing blind errors.

Setup guide

Set up SafeCube Container Tracking 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

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

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 SafeCube Container Tracking tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives SafeCube Container Tracking tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate SafeCube Container Tracking 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="SafeCube Container Tracking Agent",
            instructions="You have access to SafeCube Container Tracking tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 SafeCube. 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 SafeCube Container Tracking MCP in OpenAI Agents SDK

Initialize `MCPServerStreamableHttp` with your endpoint URL. Pass the resulting server object into your agent's `mcp_servers` array. Set `cacheToolsList=True` to speed up initialization.

Yes. The client calls `list_active_shipments` to get the IDs, then loops through `get_container_tracking` for each one.

It works perfectly. A triage agent pulls data via `get_shipment_events` and hands the exact delay metrics off to a customer service agent.

Add `check_api_status` to your agent instructions as a pre-flight check. The agent verifies uptime before attempting to pull freight coordinates.

Vinkius runs the connection inside a V8 Isolate Sandbox. Your container IDs and geographical coordinates never persist in our infrastructure. The ephemeral environment destroys the memory state the second the request finishes.

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