How to Use the Zakeke MCP in OpenAI Agents SDK
Build production e-commerce agents with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zakeke MCP to OpenAI Agents SDK
Create your Vinkius account to connect Zakeke 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.
Manage Design Files with MCP Server
You use `get_design_print_files` to grab a ZIP file of print-ready outputs for any design. This handles the final production files, so you don't have to worry about formatting it yourself. It also lets you call `get_composition_details`, which pulls specific details about a 3D configuration. You can check exactly what components make up that product.
Check Customer Orders with MCP Server
`list_orders` gives your agent a full list of customized product orders. This is critical for support agents who need to know what was purchased and when. You can then drill down using `get_order_details` to pull everything about one specific order, like payment status or shipping info.
Track Product Inventory with MCP Server
`list_products` shows all the items available for customization. This is your source of truth for what you sell. Need to see all possible product variations? `list_compositions` lists every single 3D product configuration that exists in the catalog.
Set up Zakeke 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 Zakeke tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zakeke tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Zakeke 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="Zakeke Agent",
instructions="You have access to Zakeke 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 Zakeke. 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 Zakeke MCP in OpenAI Agents SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Zakeke MCP today
We host it, we monitor it, we maintain it. You just paste one token.
