How do I get a Midjourney API key?

Sign up at [Ace Data Cloud](https://acedata.cloud/) and subscribe to the Midjourney Imagine API service. You'll receive an API key that works with this MCP server.

What's the difference between upscale and variation?

Upscale increases resolution of a specific grid image (1-4) to full quality. Variation creates 4 new creative alternatives based on that image's style and composition. Use upscale for final output, variation for exploration.

How long does image generation take?

Typically 30-60 seconds. Use get_task_status to check progress. The API returns a task ID immediately, and you can poll for completion or set a callback URL for async notification.

Midjourney MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: Midjourney
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Midjourney through Vinkius, pass the Edge URL in the `mcps` parameter and every Midjourney tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Midjourney Specialist",
    goal="Help users interact with Midjourney effectively",
    backstory=(
        "You are an expert at leveraging Midjourney tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Midjourney "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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About Midjourney MCP Server

Connect Midjourney image generation to any AI agent and create stunning visuals through natural conversation. Generate images from text prompts, upscale to high resolution, create variations, blend images, and even reverse-engineer prompts from existing images.

When paired with CrewAI, Midjourney becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Midjourney tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Text-to-Image — Generate high-quality images from descriptive prompts
Upscale — Enhance any of the 4 grid images to full resolution
Variations — Explore creative alternatives based on any generated image
Blend — Combine 2-5 images into a new composition
Describe — Reverse-engineer a prompt from any image
Inpaint — Edit specific regions of images with masks
Task Monitoring — Track generation progress and retrieve completed images

The Midjourney MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI 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 Midjourney to CrewAI via MCP

Follow these steps to integrate the Midjourney MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Midjourney

Why Use CrewAI with the Midjourney MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Midjourney through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Midjourney + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Midjourney MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Midjourney for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Midjourney, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Midjourney tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Midjourney against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Midjourney MCP Tools for CrewAI (9)

These 9 tools become available when you connect Midjourney to CrewAI via MCP:

blend

Provide URLs of existing images to blend together. Optionally add a text prompt to guide the blend. Blend multiple images together into one composition

describe

Useful for understanding how to recreate styles and compositions. Generate a text prompt from an image (reverse engineer)

get_task_status

Returns progress percentage, image URLs when ready, and available actions (upscale/variation). Check the status of an image generation task

get_tasks

Useful for monitoring ongoing generations and finding image IDs for upscale/variation. List recent image generation tasks

imagine

The prompt should be in English and can include style modifiers like "--ar 16:9" for aspect ratio, "--v 6" for version, "--s" for stylization. Returns a task ID and thumbnail URL. Use the task ID to check generation progress. Generate an image from text prompt using Midjourney

inpaint

The rest of the image remains unchanged. Edit a specific region of a generated image using a mask

reroll

Useful when none of the initial 4 images are satisfactory. Regenerate 4 new images with the same prompt

upscale

Returns the upscaled image URL. Upscale one of the 4 generated images to higher resolution

variation

Useful for exploring different interpretations of a concept. Create a variation of one of the 4 generated images

Example Prompts for Midjourney in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Midjourney immediately.

"Generate an image of a cyberpunk city at sunset, 16:9 aspect ratio."

"Upscale image position 2 from the last generation."

"Describe this image and tell me what prompt would create it: https://example.com/art.jpg"

Troubleshooting Midjourney MCP Server with CrewAI

Common issues when connecting Midjourney to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Midjourney + CrewAI FAQ

Common questions about integrating Midjourney MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.