How to Use the Commerce7 MCP in OpenAI Agents SDK

Q: What happens if a wine product is out of stock?

Your agent checks stock levels using listinventory. If the count is zero, the agent can recommend alternative bottles from listproducts.

Run production-ready wine DTC agents with safety guards using the OpenAI Agents SDK and Commerce7.

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Connect Commerce7 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Commerce7 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.

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Setup Commerce7 with OpenAI Agents SDK

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Target DTC relationships with OpenAI Agents SDK

The `search_customers` tool finds winery customer profiles, lifetime value, tasting room history, and active club tiers. Your agent uses this data to answer complex customer service inquiries without manual search. You can chain this with `get_customer` to pull specific contact details when an agent needs to flag a high-value club member. The OpenAI framework handles the tool discovery automatically, letting your agent pivot from a simple search to a full profile load in one turn.

Track orders and inventory in real time

The `list_orders` tool retrieves wine purchases filtered by processing, pending, or fulfilled status. If a buyer asks about a missing case of Cabernet, your agent instantly checks the order state. To resolve stock issues, the agent triggers `list_inventory` to verify physical bottle counts. This MCP tool prevents your team from promising bottles that are already sold out in the tasting room.

Manage tasting room bookings and club lists

The `list_reservations` tool exposes scheduled tasting room visits filtered by date so your staff can prep for VIP arrivals. It pairs with `list_clubs` to identify which incoming guests belong to your highest-tier wine clubs. Using this MCP Server, the agent correlates reservation times with active memberships. You get a clear picture of daily traffic and club participation without digging through separate dashboards.

Setup guide

Set up Commerce7 MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Commerce7 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Commerce7 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Commerce7 tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Commerce7 Agent",
            instructions="You have access to Commerce7 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Commerce7 MCP in OpenAI Agents SDK

Install the SDK and pass the MCP Server URL using the MCPServerStreamableHttp class. The framework automatically discovers tools like list_products and exposes them to your agent.

No, this server acts as a read-only bridge for your clubs. It reads membership status via list_club_members but does not write changes back to Commerce7.

The SDK queries the server endpoint directly at startup. It maps the tools to agent schemas, letting you set cacheToolsList=True for faster execution.

Your agent checks stock levels using list_inventory. If the count is zero, the agent can recommend alternative bottles from list_products.

It handles sensitive data like customer lifetime value and purchase history inside an isolated V8 sandbox managed by the MCP host. Your connection token is never exposed, ensuring your customer records stay private.

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