ShipHero MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Add Inventory, Create Order, Create Webhook, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ShipHero 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 for OpenAI Agents SDK
The ShipHero MCP Server for OpenAI Agents SDK is a standout in the Ecommerce category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="ShipHero Assistant",
instructions=(
"You help users interact with ShipHero. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ShipHero"
)
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 ShipHero MCP Server
Connect your ShipHero account to any AI agent to streamline your warehouse and fulfillment operations through natural language.
The OpenAI Agents SDK auto-discovers all 8 tools from ShipHero through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ShipHero, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Management — List recent orders and create new ones with full shipping and line item details.
- Inventory Control — Check real-time stock levels by SKU, track history of inventory changes, and add or remove stock instantly.
- Bulk Operations — Sync inventory levels in bulk using CSV URLs for rapid warehouse updates.
- Product Insights — Retrieve deep metadata for products, including warehouse-specific availability and legacy ID conversion.
- Automation — Register webhooks to stay updated on inventory changes or order statuses.
The ShipHero MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 ShipHero tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to ShipHero through Vinkius, your AI agent gets direct access to every tool listed below — spanning wms, fulfillment, warehouse-operations, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add inventory on ShipHero
Add or remove inventory for a SKU
Create order on ShipHero
Create a new order in ShipHero
Create webhook on ShipHero
Register a new webhook
Get product on ShipHero
Get product details by SKU
Get uuid on ShipHero
Get UUID from a legacy numeric ID
List inventory changes on ShipHero
List inventory changes for a SKU
List orders on ShipHero
List ShipHero orders
Sync inventory on ShipHero
Bulk sync inventory via CSV URL
Connect ShipHero to OpenAI Agents SDK via MCP
Follow these steps to wire ShipHero into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the ShipHero MCP Server
OpenAI Agents SDK provides unique advantages when paired with ShipHero 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
ShipHero + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ShipHero MCP Server delivers measurable value.
Automated workflows: build agents that query ShipHero, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ShipHero, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ShipHero tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ShipHero to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for ShipHero in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ShipHero immediately.
"List the 10 most recent orders from my primary warehouse."
"Check the current inventory level and warehouse details for SKU 'BLUE-SHIRT-L'."
"Add 25 units to SKU 'GIFT-WRAP' in warehouse 'WH-99' because of a new shipment."
Troubleshooting ShipHero MCP Server with OpenAI Agents SDK
Common issues when connecting ShipHero to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ShipHero + OpenAI Agents SDK FAQ
Common questions about integrating ShipHero 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?
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