How to Use the Shipmondo MCP in OpenAI Agents SDK
Build production shipping agents with OpenAI Agents SDK: Reliable cross-border logistics for Shipmondo.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Shipmondo MCP to OpenAI Agents SDK
Create your Vinkius account to connect Shipmondo 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.
Key Capabilities
Get Quotes and Rates from Shipmondo
You can ask the agent to pull real-time rates before a shipment. It uses `get_shipping_quote` to compare costs across various carriers, so you know the best deal immediately. The agent will automatically check all available options by calling `list_carriers`, giving you immediate pricing insights that keep your clients profitable.
Manage All Shipments with MCP Server
The core of this setup is the ability to track everything. Agents can list existing shipments using `list_shipments` or get granular updates for one specific package via `get_shipment`. This ensures your client always has visibility. Need to know where a return went? The agent handles it with `list_returns`, making sure every piece of returned inventory is accounted for.
Process and Track Orders Natively
The system can pull specific sales details using `get_order` or list multiple orders at once via `list_orders`. This gives the agent the necessary context to quote correctly. When you're ready, calling `create_shipment` takes all that order data and handles the actual label creation. It’s a closed loop right there.
Set up Shipmondo 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 Shipmondo tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Shipmondo tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Shipmondo 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="Shipmondo Agent",
instructions="You have access to Shipmondo 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 Shipmondo. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Shipmondo MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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