How to Use the Flexport Logistics MCP in OpenAI Agents SDK
Run autonomous warehouse workflows using the OpenAI Agents SDK to manage physical inventory and orders.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Flexport Logistics MCP to OpenAI Agents SDK
Create your Vinkius account to connect Flexport Logistics 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.
Automating Fulfillment Runs
`create_logistics_order` starts the fulfillment process directly from your agent's decision engine. You pass the customer details, and the server handles the handshake with the physical warehouse. It cuts out the manual file exports that slow down typical fulfillment pipelines. To keep tabs on these shipments, your system uses `list_logistics_orders` to check current status. If an order gets stuck, the OpenAI Agents SDK triggers a handoff to an exception-handling agent with full tracing.
Real-Time Stock Audits via OpenAI Agents SDK
`list_inventory` pulls raw stock counts across your fulfillment network instantly. This MCP tool lets your agent compare these numbers against incoming sales data to prevent overselling on your storefront. When stock runs low, the agent queries `get_warehouse_network` to find where the physical goods are located. This lets you plan inbound replenishment runs without querying outdated database mirrors.
Handling Inbounds and Returns
`list_inbounds` tracks incoming freight before it hits the loading dock. Using this MCP Server, your agent monitors these shipments and updates your internal systems when status changes occur. For reverse logistics, `get_return` pulls the details on customer send-backs. This lets you inspect the return reason and update inventory records without human data entry.
Set up Flexport Logistics 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 Flexport Logistics tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Flexport Logistics tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Flexport Logistics 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="Flexport Logistics Agent",
instructions="You have access to Flexport Logistics 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 Flexport Logistics. 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 Flexport Logistics MCP in OpenAI Agents SDK
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