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How to Use the Imagine.io MCP in OpenAI Agents SDK

Build production-grade visual commerce agents that trigger 3D renders using OpenAI Agents SDK and the Imagine.io MCP Server.

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OpenAI Agents SDK

Connect Imagine.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Imagine.io 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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Automate photorealistic product renders

Stop manually setting up scene files for every product variant. Your OpenAI agent uses `create_render_job` to kick off asynchronous 3D render jobs directly from your inventory database. By passing the correct material and scene parameters, your agent handles the heavy lifting of staging products without human intervention. Once the render starts, the agent doesn't just sit there. It monitors progress using `get_job_status` and retrieves the final high-resolution assets via `list_renders` as soon as they are ready. This hands-off pipeline turns raw product data into marketing-ready images.

Control scene assets with this MCP Server

Give your OpenAI agents the exact tools they need to navigate your 3D catalog. This integration exposes your entire asset library, letting the agent run `list_scenes` and `list_materials` to find the perfect backdrop for a product. It prevents the model from guessing asset IDs or making up materials that don't exist in your warehouse. The agent queries `get_scene` to verify spatial coordinates and camera angles before committing credits. This means your agent can intelligently swap an oak finish for a walnut finish on a dining table scene without writing a single line of rendering code.

Manage visual inventory and credits dynamically

Keep your automated rendering pipeline under budget by letting your agent track costs. The agent calls `get_account` to check your remaining render credits before initiating large batch runs. If credits are low, the agent can pause the queue or alert your team via Slack. Synchronization is handled automatically by using `list_products` and `get_product` to cross-reference active renders with your e-commerce catalog. This ensures your agent only spends compute resources on products that actually need updated visuals.

Setup guide

Set up Imagine.io 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 Imagine.io tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Imagine.io 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 Imagine.io 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="Imagine.io Agent",
            instructions="You have access to Imagine.io 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 Imagine.io. 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 Imagine.io MCP in OpenAI Agents SDK

Install the `openai-agents` package and configure the HTTP server streamable parameters using the Vinkius endpoint. Pass the server instance directly to your agent constructor, and the OpenAI Agents SDK will auto-discover the rendering tools via the MCP protocol instantly.
Yes. Your agent can fire off multiple asynchronous jobs using `create_render_job` and poll their progress concurrently. The OpenAI Agents SDK handles the async runtime smoothly, letting you track dozens of parallel 3D product renders without blocking the main agent loop.
The SDK uses built-in guardrails to validate tool arguments before execution. When your agent calls `get_scene` or `list_materials`, the SDK ensures the parameters match the schema, preventing corrupted asset IDs from wasting your rendering credits.
No. The MCP standard takes care of that. Your OpenAI agent auto-discovers all ten rendering tools, including `list_products` and `check_imagine_status`, the moment the server connects.
Your data remains completely isolated. Vinkius runs the server in an ephemeral V8 sandbox, meaning your raw 3D models, material textures, and scene metadata are never stored on our servers. All API calls to fetch details via `get_scene` are encrypted in transit and passed directly to the rendering pipeline.

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