How to Use the Easyship MCP in OpenAI Agents SDK

Q: How do I authenticate the Easyship MCP Server inside OpenAI Agents SDK?

You set up the connection using the MCPServerStreamableHttp class with your Vinkius endpoint token. The SDK handles the underlying headers automatically, so your OpenAI agents can discover tools like geteasyshipaccountmetadata instantly.

Q: Can my OpenAI Agents SDK system handle courier selection dynamically?

Yes, your agent can call listavailablecouriers to check which shipping companies support the destination address. It then feeds those options into getshippingrates to select the most cost-effective option for the user.

Q: Can I track multiple packages simultaneously using this server?

You can use listlatestshipments or listintransitshipments to pull lists of active shipments. Your agent can loop through these lists, fetching specific details for each order using the tracking tools.

Ship packages safely using OpenAI Agents SDK to track orders and pull rates with built-in guardrails.

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Connect Easyship MCP to OpenAI Agents SDK

Create your Vinkius account to connect Easyship 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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Setup Easyship with OpenAI Agents SDK

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Safe rate queries with OpenAI Agents SDK

This MCP Server exposes `get_shipping_rates` directly to your OpenAI agents, allowing them to fetch shipping costs without risking invalid inputs. The SDK intercepts the tool call, verifies the payload against your defined safety guardrails, and avoids costly API errors. By combining this with `list_available_couriers`, your routing agent can compare carrier limits and pass the best option to a fulfillment agent. You can trace this entire handoff on your OpenAI developer dashboard to ensure no bad rates ever slip through to production.

Real-time shipment tracking and delivery audits

The `get_shipment_details` tool gives your OpenAI agent direct access to live tracking numbers and package statuses. If a customer asks where their order is, the agent retrieves the exact location and updates the thread instantly. For larger operations, the agent uses the MCP to run `quick_shipping_volume_audit` to monitor delivery success metrics. It can automatically trigger a handoff to a support agent if the audit highlights a sudden spike in failed deliveries.

Automated logistics search and exception handling

Using `search_shipments_by_reference`, your OpenAI agents can find orders by matching external database keys to Easyship IDs. This keeps your store database and fulfillment platform perfectly aligned without manual scripting. When things go wrong, the agent calls `list_failed_deliveries` to flag stuck packages. It can immediately notify customers or file a claim, keeping your delivery pipeline clean and visible in your OpenAI dashboard logs.

Setup guide

Set up Easyship 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 Easyship tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Easyship 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="Easyship Agent",
            instructions="You have access to Easyship 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 Easyship. 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 Easyship MCP in OpenAI Agents SDK

You set up the connection using the `MCPServerStreamableHttp` class with your Vinkius endpoint token. The SDK handles the underlying headers automatically, so your OpenAI agents can discover tools like `get_easyship_account_metadata` instantly.

Yes, your agent can call `list_available_couriers` to check which shipping companies support the destination address. It then feeds those options into `get_shipping_rates` to select the most cost-effective option for the user.

The SDK uses strict input validation guardrails before executing the `get_shipping_rates` tool. If your agent tries to pass a fake currency code, the SDK blocks the call, preventing invalid requests from hitting the API.

You can use `list_latest_shipments` or `list_in_transit_shipments` to pull lists of active shipments. Your agent can loop through these lists, fetching specific details for each order using the tracking tools.

Your shipment details and account metadata are processed within an isolated V8 sandbox on the Vinkius MCP platform. No shipping addresses or tracking numbers are stored long-term, and all API traffic is encrypted in transit between OpenAI and Easyship.

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