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How to Use the Magento (Adobe Commerce) MCP in OpenAI Agents SDK

Build production-ready commerce agents with the OpenAI Agents SDK. Audit orders and track inventory with built-in safety guardrails.

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OpenAI Agents SDK

Connect Magento (Adobe Commerce) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Magento (Adobe Commerce) 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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Query catalogs with OpenAI Agents SDK

Your agent needs `mg.get_product` to know what is actually on the shelf before answering customer questions. Using `mg.get_stock`, it pulls live inventory counts straight from the database. You don't want agents guessing SKUs. They run `mg.search_products` to find exact matches across massive retail catalogs. This MCP Server logs every API call, so you know exactly which inventory checks fired during a session.

Audit recent commerce orders

This MCP server gives support agents `mg.get_order` to pull specific transactions instantly. They can also browse recent activity using the `mg.search_orders` tool. Financial records are just as easy to grab using `mg.list_invoices`. Because you are running the OpenAI framework, you can set strict guardrails on these tools so the agent only queries data for the authenticated user.

Fetch customer profiles safely

You can build a specialized agent that uses `mg.search_customers` to find the right account profile. It then hits `mg.get_customer` with the internal string ID to pull the full record. Hand off the resulting data to a separate billing agent. The whole flow is traceable in your OpenAI dashboard, proving exactly when and why the agent accessed the customer information.

Setup guide

Set up Magento (Adobe Commerce) 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. 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. 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 Magento (Adobe Commerce) tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Magento (Adobe Commerce) 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="Magento (Adobe Commerce) Agent",
            instructions="You have access to Magento (Adobe Commerce) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Magento (Adobe Commerce). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Magento (Adobe Commerce) MCP in OpenAI Agents SDK

Install the openai-agents package. Create an MCPServerStreamableHttp instance with your endpoint URL. Pass it into the mcp_servers array when you initialize your agent.
Yes. The server exposes the mg.get_store_config tool. Your agent can read the active store settings before making decisions about currency or regional shipping logic.
It relies on built-in limits. When calling mg.list_categories, the MCP server automatically restricts egress sizes so massive category trees do not blow up your context window.
No. Set cacheToolsList to true for performance. The SDK auto-discovers all ten tools without any manual mapping required.
It operates on a zero-trust, ephemeral V8 isolate sandbox. When your agent pulls PII via mg.get_customer, the data passes straight to your client. We never store the resulting JSON payloads or log the customer IDs.

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