How to Use the Shipday MCP in OpenAI Agents SDK

Q: What data does Shipday provide regarding carrier orders to OpenAI Agents SDK?

You can use getcarrierorder to pull detailed information directly from the carrier system. This gives your agent a full view of external logistics milestones, which is necessary for accurate reporting.

Q: If I modify an order, how does Shipday help with OpenAI Agents SDK?

You call updateorderstatus to change the job's state. The agent validates this action and logs the specific changes (e.g., 'Status changed from Pending to En Route'), ensuring data integrity.

Q: Can I list all open jobs with Shipday and OpenAI Agents SDK?

Absolutely. Just running listactiveorders provides a clean, current list of every delivery job that hasn't been marked as complete yet. This is perfect for dashboard reporting.

Run complex logistics tasks reliably using the OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Shipday MCP to OpenAI Agents SDK

Create your Vinkius account to connect Shipday 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 Shipday with OpenAI Agents SDK

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Monitor Real-Time Delivery Status

Need to know where a delivery is right now? Use `get_tracking_progress` to poll for immediate status updates. This gives your agent the live location data needed to notify customers instantly. You can also list all active jobs with `list_active_orders`. Your agent handles the polling, so you don't have to build complex timers or failure handling into your core logic.

Manage Order Lifecycle

When an order is placed, call `create_order` by passing customer details and restaurant info. Later, if things change, you can use `update_order_status` to mark the job as complete or delayed. Furthermore, if a delivery needs canceling before it starts, simply invoke `delete_order`. Your agent treats these steps like atomic actions, making the process traceable in the OpenAI dashboard.

Dispatch and Resource Allocation

Starting a route requires assigning people. The `list_drivers` tool gives your agent visibility into who's available right now. Then, you use `assign_driver` to tie a specific order number to an available driver ID. This setup ensures that every action—from listing drivers to assigning them—is captured in the execution trace, which is crucial for production-level reliability.

Setup guide

Set up Shipday 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 Shipday tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Shipday MCP in OpenAI Agents SDK

Your agent handles this internally. If polling fails repeatedly, the guardrails will stop execution and report a specific failure state, letting you know exactly where the process broke down.

You can use `get_carrier_order` to pull detailed information directly from the carrier system. This gives your agent a full view of external logistics milestones, which is necessary for accurate reporting.

You call `update_order_status` to change the job's state. The agent validates this action and logs the specific changes (e.g., 'Status changed from Pending to En Route'), ensuring data integrity.

Absolutely. Just running `list_active_orders` provides a clean, current list of every delivery job that hasn't been marked as complete yet. This is perfect for dashboard reporting.

This server primarily touches order numbers and customer contact information, which are the types of PII you must handle with care in production agents.

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