How to Use the commercetools MCP in OpenAI Agents SDK
Plug the commercetools MCP Server into your OpenAI Agents SDK to manage product catalogs and order flows directly from your Python code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect commercetools MCP to OpenAI Agents SDK
Create your Vinkius account to connect commercetools 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.
Direct order and product inspection
Call `get_order` or `get_product` to pull live data into your agent execution trace. You get raw JSON responses from the platform without writing custom API wrappers. Your agent logic stays clean because the tools handle the authentication handshake. Focus on your business rules while the agent handles the heavy lifting.
Search through your commercetools inventory
Use `search_product_by_key` to locate specific items for customer inquiries. It saves you from manual lookups in the dashboard. This MCP Server provides the search functions your agents need to resolve tickets faster. It keeps your data flow strictly within the OpenAI environment.
List carts and customers in Python
Run `list_active_carts` or `list_customers` to feed data into your agent's decision engine. These tools map directly to your backend state. Building out complex workflows becomes trivial when your agent can query the database directly. It removes the need for brittle middleware.
Set up commercetools MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all commercetools tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives commercetools tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate commercetools tools and returns structured results. Copy the full example on the right to get started.
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="commercetools Agent",
instructions="You have access to commercetools 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 commercetools. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about commercetools MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the commercetools MCP today
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