Flexport Logistics 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 Logistics through 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 Logistics Assistant",
instructions=(
"You help users interact with Flexport Logistics. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Flexport Logistics"
)
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 Logistics MCP Server
Connect your Flexport Logistics account to any AI agent and automate your e-commerce fulfillment and warehousing operations through the Model Context Protocol (MCP). Flexport Logistics (formerly Deliverr) provides a high-speed fulfillment network that ensures your customers get their orders fast. Now, you can manage orders, track real-time inventory, and handle returns directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Flexport Logistics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Flexport Logistics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Fulfillment — Create and track fulfillment orders for your end customers across multiple sales channels.
- Real-time Inventory — Check current stock levels across the entire Flexport warehouse network to avoid stockouts.
- Inbound Management — List and monitor inbound shipments of inventory being sent to warehouses.
- Product Catalog — Access your fulfillment product library and fetch detailed metadata for specific SKUs.
- Return Handling — Manage customer return requests and track the status of returned items.
- Shipping Labels — List and retrieve purchased parcel shipping labels for your e-commerce shipments.
- Warehouse Network — Get visibility into the active warehouses in the Flexport fulfillment network.
The Flexport Logistics 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 Logistics to OpenAI Agents SDK via MCP
Follow these steps to integrate the Flexport Logistics 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 Logistics
Why Use OpenAI Agents SDK with the Flexport Logistics MCP Server
OpenAI Agents SDK provides unique advantages when paired with Flexport Logistics 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 Logistics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Flexport Logistics MCP Server delivers measurable value.
Automated workflows: build agents that query Flexport Logistics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Flexport Logistics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Flexport Logistics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Flexport Logistics to resolve tickets, look up records, and update statuses without human intervention
Flexport Logistics MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Flexport Logistics to OpenAI Agents SDK via MCP:
create_logistics_order
Create fulfillment order
get_inbound
Get inbound details
get_logistics_order
Get order details
get_product
Get product details
get_return
Get return details
get_warehouse_network
List warehouses
list_inbounds
List inbound shipments
list_inventory
Check stock levels
list_labels
List shipping labels
list_logistics_orders
List fulfillment orders
list_products
List product catalog
list_returns
List customer returns
Example Prompts for Flexport Logistics in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Flexport Logistics immediately.
"Check the current inventory level for SKU 'SKU-999'."
"List all fulfillment orders that were shipped today."
"Show me the status of my inbound shipment 'INB-123'."
Troubleshooting Flexport Logistics MCP Server with OpenAI Agents SDK
Common issues when connecting Flexport Logistics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Flexport Logistics + OpenAI Agents SDK FAQ
Common questions about integrating Flexport Logistics 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 Logistics 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 Logistics to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.