Flexport MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Flexport through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Flexport Assistant",
instructions=(
"You help users interact with Flexport. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Flexport"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Flexport MCP Server
Connect your Flexport account to any AI agent and automate your global trade and freight operations through the Model Context Protocol (MCP). Flexport is the modern freight forwarder that provides full visibility and control over your supply chain. Now, you can track shipments, manage purchase orders, and retrieve essential logistics documentation directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Flexport through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Flexport, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Shipment Tracking — List all your ocean and air shipments, fetch detailed tracking metadata, and monitor transit statuses in real-time.
- PO Management — Automate your purchase order lifecycle by listing, retrieving, and creating POs directly from the agent.
- Document Retrieval — List and fetch essential logistics documents such as Bills of Lading, Commercial Invoices, and Packing Lists.
- Billing & Invoices — Access freight and commercial invoices associated with your account or specific shipments for better financial oversight.
- Customs Documentation — Retrieve commercial invoice data required for customs clearance and compliance reporting.
- Global Visibility — Get a high-level overview of your entire global supply chain operations without switching tabs.
The Flexport MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Flexport to OpenAI Agents SDK via MCP
Follow these steps to integrate the Flexport MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Flexport
Why Use OpenAI Agents SDK with the Flexport MCP Server
OpenAI Agents SDK provides unique advantages when paired with Flexport through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Flexport + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Flexport MCP Server delivers measurable value.
Automated workflows: build agents that query Flexport, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Flexport, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Flexport tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Flexport to resolve tickets, look up records, and update statuses without human intervention
Flexport MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Flexport to OpenAI Agents SDK via MCP:
create_purchase_order
Create a new purchase order
download_document
Get document download link
get_document
Get document metadata
get_invoice
Get invoice details
get_purchase_order
Get purchase order details
get_shipment
Get shipment details
list_commercial_invoices
List commercial invoices
list_documents
List logistics documents
list_invoices
List freight invoices
list_purchase_orders
List purchase orders
list_shipment_invoices
List invoices for shipment
list_shipments
List freight shipments
Example Prompts for Flexport in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Flexport immediately.
"List my 5 most recent freight shipments and their status."
"Show me all purchase orders pending for this quarter."
"Get the download link for the Bill of Lading for shipment 'SHIP-789'."
Troubleshooting Flexport MCP Server with OpenAI Agents SDK
Common issues when connecting Flexport to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Flexport + OpenAI Agents SDK FAQ
Common questions about integrating Flexport MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Flexport with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Flexport to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.