How do I get Deck Commerce API credentials?

Log in to your Deck Commerce admin portal, navigate to the API settings or Integrations section to generate your API Key and find your Site ID.

Can the agent check backordered items?

Yes, you can use the list_backordered_items tool to identify which SKUs are currently on backorder and monitor their fulfillment status.

Does the integration support tracking numbers?

Yes, when retrieving shipment details, the agent provides carrier information and tracking numbers for your customer orders.

Deck Commerce MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Deck Commerce
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Deck Commerce through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

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="Deck Commerce Assistant",
            instructions=(
                "You help users interact with Deck Commerce. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Deck Commerce"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 Deck Commerce MCP Server

Integrate Deck Commerce, the leading order management system (OMS) for direct-to-consumer retailers, directly into your AI workflow. Manage your customer orders, track real-time inventory levels across facilities, and monitor shipments and returns using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from Deck Commerce through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Deck Commerce, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Order Oversight — List and retrieve detailed information for all customer orders and their current processing status.
Inventory Intelligence — Access real-time stock levels for your SKUs and monitor backordered items.
Shipment Tracking — Track processed shipments, access tracking numbers, and monitor delivery progress.
Return Management — List customer returns and monitor their status directly via chat.

The Deck Commerce MCP Server exposes 10 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 Deck Commerce to OpenAI Agents SDK via MCP

Follow these steps to integrate the Deck Commerce 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 10 tools from Deck Commerce

Why Use OpenAI Agents SDK with the Deck Commerce MCP Server

OpenAI Agents SDK provides unique advantages when paired with Deck Commerce 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

Deck Commerce + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Deck Commerce MCP Server delivers measurable value.

Automated workflows: build agents that query Deck Commerce, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Deck Commerce, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Deck Commerce tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Deck Commerce to resolve tickets, look up records, and update statuses without human intervention

Deck Commerce MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Deck Commerce to OpenAI Agents SDK via MCP:

get_account_metadata

Returns account-level metadata such as organization name, active integrations, and system configuration. Retrieve settings and metadata for your Deck Commerce account

get_order_details

Resolves line item details, shipping addresses, tax information, and the full order history trail. Get detailed information for a specific order

get_shipment_tracking

Resolves carrier status updates, delivery estimates, and current shipment location. Get tracking and shipping details for a specific shipment

get_sku_stock_level

Provides a detailed breakdown of quantities at individual fulfillment nodes and identifies current inventory status. Get current stock level and status for a specific SKU

list_available_inventory

Returns a list of SKUs with their total available-to-sell, on-hand, and reserved quantities across all nodes. List current inventory levels across all items

list_backordered_items

Identifies products where demand exceeds current on-hand availability. List all items currently on backorder (mock logic)

list_oms_orders

Returns order metadata including order numbers, current status, and customer identifiers. List all customer orders in your Deck Commerce OMS

list_order_returns

Returns a list of return requests including return reasons, RMA numbers, and current processing state. List all customer returns and their processing status

list_processed_shipments

Returns shipment metadata including carrier information, tracking numbers, and fulfillment timestamps. List all shipments processed by Deck Commerce

search_orders_by_number

Matches keywords against order numbers, customer names, and email addresses to isolate specific OMS records. Search for orders using an order number or customer info

Example Prompts for Deck Commerce in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Deck Commerce immediately.

"List all customer orders from today that are 'Pending'."

"What is the stock level for 'Blue Runner Shoes' (SKU: RUN-99)?"

"Show me the tracking info for Order #DC123."

Troubleshooting Deck Commerce MCP Server with OpenAI Agents SDK

Common issues when connecting Deck Commerce to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Deck Commerce + OpenAI Agents SDK FAQ

Common questions about integrating Deck Commerce MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.