How to Use the AfterShip MCP in OpenAI Agents SDK
Build production-ready logistics agents with the OpenAI Agents SDK that track shipments and manage delivery status automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AfterShip MCP to OpenAI Agents SDK
Create your Vinkius account to connect AfterShip 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.
Automate Shipment Tracking
Your agent can create new shipment entries using `create_tracking`, feeding it a tracking number and courier slug. It can then monitor progress by calling `get_tracking` for status updates. For expired or stuck packages, you can program your agent to use `retrack_tracking` to force a refresh. This gives your system a way to self-heal tracking issues without manual intervention.
Manage Your Entire Shipping Manifest
Give your agent the ability to see the big picture. It can pull a complete list of all your shipments with `list_trackings`, using filters for delivery status, date ranges, or specific couriers. When a job is done, the agent can clean up with `delete_tracking`. Or if a courier's final update is delayed, it can use `mark_tracking_completed` to close out the entry. This keeps your manifest accurate.
Build Safer Agents with This MCP Server
The OpenAI Agents SDK's guardrails work perfectly with this server. You can define rules that prevent an agent from, say, calling `delete_tracking` on a package that isn't marked 'delivered'. The SDK's tracing also lets you see every call your agent makes to the AfterShip tools. This makes debugging complex agent handoffs—like one agent using `detect_courier` and passing the result to another—much easier to follow in the OpenAI dashboard. This is a solid MCP integration.
Set up AfterShip 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 AfterShip tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives AfterShip tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate AfterShip 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="AfterShip Agent",
instructions="You have access to AfterShip 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 AfterShip. 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 AfterShip MCP in OpenAI Agents SDK
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