How to Use the Midjourney MCP in OpenAI Agents SDK

Q: How does the Midjourney MCP Server handle long image generation times in OpenAI Agents SDK?

The imagine tool returns a task ID immediately instead of blocking your execution thread. Your OpenAI Agents SDK code should write this ID to a database and use gettaskstatus in a polling loop to check when the asset is ready.

Q: How do I pass multiple images to Midjourney using the OpenAI Agents SDK?

You pass an array of image URLs to the blend tool inside your OpenAI Agents SDK agent's execution context. The agent processes these inputs and returns a unified composition task ID that you can monitor.

Spin up OpenAI Agents SDK workflows that build, blend, and edit Midjourney images with strict guardrails and complete trace history.

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Connect Midjourney MCP to OpenAI Agents SDK

Create your Vinkius account to connect Midjourney 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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Setup Midjourney with OpenAI Agents SDK

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Guardrails for Midjourney MCP Server prompts

The `imagine` tool lets you generate Midjourney assets inside your OpenAI Agents SDK workflow with strict boundaries so your agents don't waste API credits on bad generations. This integration exposes text-to-image capabilities to your Python runtime, letting you intercept and validate raw prompt strings before they reach the server. If an agent attempts to pass an invalid aspect ratio to the Midjourney API, your OpenAI Agents SDK validation logic catches it instantly. You get clean, pre-approved image requests flowing into your pipeline without manual oversight.

Asynchronous task tracking with OpenAI Agents SDK

The `get_task_status` tool allows your OpenAI Agents SDK agent to monitor long-running Midjourney generation jobs without blocking execution. By pairing this status check with the initial generation request inside this MCP integration, your agent can grab a task ID and hand off tracking duties to a background worker. Your OpenAI Agents SDK agent remains free to handle other tasks while the background loop monitors progress. Once the server returns a completed status, the main agent resumes to deliver the final high-resolution assets.

Surgical image editing via agent handoffs

The `describe` tool extracts prompt parameters from input images so you can build complex creative pipelines with your OpenAI Agents SDK agents. You can configure a design agent to analyze an input image, then hand off the style parameters to a dedicated editor agent. That editor agent can then execute `inpaint` or `variation` to tweak specific regions of the Midjourney canvas. Every step of this multi-agent exchange is recorded directly in your OpenAI tracing dashboard for easy debugging.

Setup guide

Set up Midjourney 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

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

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 Midjourney tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Midjourney tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

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

asyncio.run(main())

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Common questions about Midjourney MCP in OpenAI Agents SDK

The `imagine` tool returns a task ID immediately instead of blocking your execution thread. Your OpenAI Agents SDK code should write this ID to a database and use `get_task_status` in a polling loop to check when the asset is ready.

Yes, you can write custom guardrail functions that inspect the prompt string before passing it to the `imagine` tool. This prevents your OpenAI Agents SDK agents from submitting broken parameters like invalid version flags to the API.

You pass an array of image URLs to the `blend` tool inside your OpenAI Agents SDK agent's execution context. The agent processes these inputs and returns a unified composition task ID that you can monitor.

No, Vinkius hosts the server in a secure sandbox, so your OpenAI Agents SDK environment only needs the connection token. You configure `MCPServerStreamableHttp` with your unique endpoint URL and let the SDK discover the tools.

Your generation inputs are processed inside a secure, ephemeral V8 isolate sandbox. The MCP Server runs in a zero-trust container, meaning no prompt history or image data is ever persisted after the task finishes.

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