Zakeke MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zakeke through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Zakeke Assistant",
instructions=(
"You help users interact with Zakeke. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zakeke"
)
print(result.final_output)
asyncio.run(main())
* 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 Zakeke MCP Server
Connect your Zakeke account to any AI agent to streamline your visual product customization and 3D configuration workflows. This MCP server enables your agent to interact with customer designs, 3D compositions, and specialized e-commerce orders directly.
The OpenAI Agents SDK auto-discovers all 9 tools from Zakeke through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Zakeke, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Design Oversight — List and retrieve detailed configurations for visual product designs created by your customers
- 3D Configuration Management — Access pricing and attribute data for complex 3D product compositions
- Order Synchronization — Query and monitor orders containing customized products to ensure smooth fulfillment
- Print-Ready Access — Retrieve ZIP files of all output files for production-ready designs instantly
- Cart Integration — Get necessary technical data to add 3D configured products to any shopping cart
The Zakeke MCP Server exposes 9 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 Zakeke to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zakeke 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 9 tools from Zakeke
Why Use OpenAI Agents SDK with the Zakeke MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zakeke 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
Zakeke + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zakeke MCP Server delivers measurable value.
Automated workflows: build agents that query Zakeke, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Zakeke, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zakeke tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zakeke to resolve tickets, look up records, and update statuses without human intervention
Zakeke MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Zakeke to OpenAI Agents SDK via MCP:
get_cart_info
Get cart information for a 3D configuration
get_composition_details
Get details for a specific 3D configuration
get_design_details
Get details for a specific design
get_design_print_files
Get ZIP file of print-ready outputs for a design
get_order_details
Get details for a specific order
list_compositions
List all 3D product configurations
list_designs
List all customer-created designs
list_orders
List all customized product orders
list_products
List all products available for customization
Example Prompts for Zakeke in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zakeke immediately.
"Show me all visual designs created by customers today in Zakeke."
"List my customized product orders from Zakeke."
"Get the print-ready ZIP for design ID 'DESIGN_12345'."
Troubleshooting Zakeke MCP Server with OpenAI Agents SDK
Common issues when connecting Zakeke to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zakeke + OpenAI Agents SDK FAQ
Common questions about integrating Zakeke MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Zakeke with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zakeke to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.