How to Use the Midjourney MCP in CrewAI

Deploy autonomous crews of creative agents to manage Midjourney generation pipelines with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Midjourney MCP to CrewAI

Create your Vinkius account to connect Midjourney to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Midjourney with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative prompt engineering in CrewAI

The `imagine` tool executes high-fidelity image generations using prompt strings drafted by your copywriter agent through this MCP Server. A separate art director agent in your CrewAI setup reviews the resulting thumbnail before deciding whether to proceed. This team structure isolates the creative drafting from the execution. The art director agent uses `get_task_status` to monitor progress, passing the final high-resolution asset to your publishing agent once the generation completes.

Multi-agent visual refinement loops

The `reroll` tool regenerates four new image choices using the same prompt parameters when your CrewAI reviewer agent rejects the initial grid. Instead of failing the task, the agent triggers this tool so it doesn't get stuck on an ugly layout. Your crew coordinates this loop using shared memory over this MCP Server connection. By analyzing the output of `get_tasks`, your supervisor agent tracks which generations require a reroll and which are ready for upscaling.

Autonomous image upscaling with CrewAI MCP Server

The `upscale` tool runs high-resolution generation on specific grid choices selected by your CrewAI analyst agent. Your crew parses the initial generation output, selects the best quadrant, and executes the upscale automatically. This autonomous execution removes human delay from production pipelines. Your specialized agents run the entire sequence from prompt creation to final high-res asset delivery, communicating via this MCP Server endpoint.

Setup guide

Set up Midjourney MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Midjourney tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Midjourney Analyst",
    goal="Access and analyze Midjourney data via MCP.",
    backstory="Expert analyst with direct Midjourney access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Midjourney transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Midjourney Analyst",
        goal="Access and analyze Midjourney data via MCP.",
        backstory="Expert analyst with direct Midjourney access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Midjourney transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Midjourney. 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.

Connect Midjourney now

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 Midjourney MCP in CrewAI

Yes, multiple CrewAI agents can trigger Midjourney tools in parallel. The MCP Server manages the concurrent requests, returning individual task IDs that each agent tracks independently.

Your creative CrewAI agent writes the prompt, appending styling flags like `--ar 16:9` or `--v 6`. The agent then passes this completed string to the `imagine` tool to start the generation.

Yes, your CrewAI research agent can pass any image URL to the `describe` tool. This tool returns four prompt strings, which the agent uses to reverse-engineer the aesthetic style for your next campaign.

The agent reads the task status payload, which contains the grid indices. Based on its visual analysis criteria, the agent specifies index 1, 2, 3, or 4 when calling the upscale tool.

Your prompt texts and generated image URLs are processed inside an isolated V8 sandbox on Vinkius. This MCP Server does not cache or store your creative prompts or source image metadata, ensuring complete data isolation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript