Midjourney MCP for AI. Generate, blend, and refine complex visuals directly from your agent.

Q: How do I know when my image generation task is ready using gettaskstatus?

The gettaskstatus tool reports the progress percentage and, critically, provides the final image URLs once the job is complete. If it's not finished, it gives you the current status instead.

Q: Can I use blend to combine real-life photos with generated art?

Yes. The blend tool takes URLs of any images—whether they came from a photo library or were just created by Midjourney—and combines them using your guidance prompt.

Q: What is the difference between reroll and variation in Midjourney MCP Server?

They serve different purposes. Use reroll when you want 4 completely new ideas based on a prompt. Use variation when you like one specific image but want to explore slightly different interpretations of just that concept.

Q: What do I do if my generated art is low quality and needs fixing? Do I use inpaint or upscale?

If the whole image is too small, use upscale. If the overall resolution is fine but a specific part (like a hand or a background object) is wrong, mask that area and run inpaint.

Q: If I need to track multiple ongoing generations, should I use gettasks or check status with gettaskstatus?

Use gettasks to list recent generation activity. This shows IDs and overall progress for everything you've run recently. You only use gettaskstatus if you know the specific task ID and need a precise, real-time update on its current percentage.

Q: How do I use describe to improve my prompt writing for future generations?

After using describe on a cool piece of art, the output gives you a text prompt. You copy that generated text and feed it directly into imagine. This is the fastest way to recreate a specific style or composition.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Midjourney MCP Server connects your AI agent to Midjourney's Imagine API, giving you direct control over visual output. Use it to generate images from text prompts, upscale low-resolution assets, create variations of concepts, or blend multiple source images into a single composition using the `blend` tool.

It also lets you reverse-engineer prompts (`describe`) and edit specific areas in generated art with masking (`inpaint`).

What your AI can do

Blend

Takes multiple image URLs and optionally a text prompt to combine them into a single new composition.

Describe

Analyzes an uploaded image and returns the structured text prompt used to create it, useful for reverse-engineering styles.

Get task status

Checks if an ongoing generation task is finished and provides the resulting image URLs and available actions (upscale/variation).

+ 6 more capabilities included

Generate Images from Text

Run the imagine tool to create new images based on specific text descriptions and style modifiers.

Enhance Resolution

Use upscale to take any of the initial four generated thumbnails and return a full, high-resolution image file.

Modify Specific Areas

The inpaint tool allows you to edit only masked regions of an existing image without changing the rest of the composition.

Combine Multiple Images

Execute the blend tool by providing multiple source images and optionally a text prompt to guide their combination into one new picture.

Deconstruct Artworks

The describe tool analyzes an uploaded image and returns the detailed text prompt needed to recreate its style or composition.

Ask an AI about this

Included with Plan

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AI Agent

Midjourney MCP Server: 9 Tools for Visual Generation

Use these tools to run the complete image generation lifecycle: prompting, status checks, blending, upscaling, and detailed editing.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Midjourney on Vinkius

Blend

Takes multiple image URLs and optionally a text prompt to combine them into a single new composition.

Describe

Analyzes an uploaded image and returns the structured text prompt used to create it...

Get Task Status

Checks if an ongoing generation task is finished and provides the resulting image...

Get Tasks

Lists recent image generation tasks, allowing you to find specific IDs for...

Imagine

Generates a new set of images from scratch based on your text prompt and returns an...

Inpaint

Edits only specific, masked regions within an existing generated image while keeping the rest of the art untouched.

Reroll

Regenerates four brand new images using the exact same initial prompt if none of the first set were satisfactory.

Upscale

Takes a specific thumbnail from a generation and increases its resolution to a...

Variation

Creates alternative versions of an existing generated image, exploring different...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Midjourney integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "midjourney": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Midjourney tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"midjourney": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Midjourney, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
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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.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Visual concepting shouldn't feel like managing five different art apps.

Right now, getting a consistent visual style for a project means hopping between tools: you prompt in one place, download the result, upload it to another tool just to change the color palette, and then manually re-upload that edited asset back into your main workflow. It's tedious; it involves dozens of clicks and constant file management.

With Midjourney MCP, the entire sequence stays inside your agent conversation. You prompt for a look, and if you need a variation or an upscale, you just ask for it. The server handles the asset passing between tools—it's one continuous process, not five separate stops.

Midjourney MCP Server: Control your image assets from chat.

The manual steps of checking task status, downloading the full-res image, and then finding the right variation prompt are completely eliminated. You simply ask for 'the best version,' and the agent handles the `get_task_status` check, the `upscale` call, and returns the final file.

What's different now is that you own the whole pipeline. Your AI client manages the state of generation—you don't have to.

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What your AI can actually do with this

You connect your AI agent straight into Midjourney's Imagine API via this server. That means you get direct, hands-on control over every single visual asset you create. Forget sending prompts out to a separate web interface; your agent handles the whole pipeline right here.

Generating Images from Text
To start something new, you run imagine. You feed it a text prompt and style modifiers, and it immediately spits back a task ID while kicking off the generation. It doesn't give you the image yet; it gives you the green light to check on it later.

Managing Tasks and Iterations
Once that job is running, you use get_task_status. This tool checks if the background task finished and tells you exactly what happened. When it's done, it hands you the resulting image URLs and any actions available next—like upscaling or making variations. If you need to see a list of everything your agent has generated recently, use get_tasks; this lets you find specific IDs needed for later upscale or variation calls.

If the first batch of four images isn't hitting the mark, don't panic. You can run reroll. This tool takes your exact original prompt and generates another set of four brand new pictures. It’s like getting a second take on the same shot until you nail it.

Refining and Enhancing Artworks
If one of those initial images looks close but not perfect, you've got options for refinement. You can use variation to generate alternative versions of an existing image, exploring different artistic interpretations of that concept. If the resolution is too low for printing or high-detail work, run upscale.

This takes any of the initial four thumbnails and blows it up into a full, high-quality file.

For more granular control, you use inpaint. You don't change the whole picture; you mask off just one small area—say, someone’s hand or a piece of clothing—and then edit only that specific region. The rest of the art stays exactly where it is.

Advanced Composition and Analysis
Sometimes you need to combine multiple sources into one composition. You execute blend by providing several source image URLs, and optionally giving your agent a text prompt to guide how those images should mix together into a single new picture. For maximum creative control, you might also use the variation tool in conjunction with get_task_status, letting your agent cycle through options until it finds the perfect balance.

If you're looking at an image and think, 'How did they even make this?', you run describe. This analyzes the uploaded picture and returns the structured text prompt—the actual words—that were used to create its style or composition. It’s total reverse-engineering power for your agent.

You've got a full creative lifecycle here: from initial generation via imagine, through iterative refinement with variation and reroll, to high-fidelity adjustments using upscale and targeted edits with inpaint. You can even take disparate pieces of art and fuse them together using the blend tool, all while keeping track of everything via get_tasks and checking the status with get_task_status.

It's one end-to-end system for your agent to build visuals from scratch, refine what exists, or reconstruct lost prompts.

Built · Hosted · Managed by Vinkius Midjourney MCP Server - Generate & Blend AI Images

Server ID 019d8458-ee9e-71e2-9356-ab57d4b6bea7

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Compliance Grade A+

Score 100/100

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Here's how it actually works

The bottom line is: you talk to your agent, and the server handles all the API calls, status checks, and asset retrieval, giving you a finished image file in return.

First, subscribe to this server and input your Midjourney API key via Ace Data Cloud.

Second, issue a command (e.g., 'Generate an image of...') through your AI client, which calls the imagine tool.

Third, wait for the task ID; use get_task_status to check progress and retrieve the final high-resolution URL.

Who is this actually for?

Designers who need rapid concept prototyping; Content Creators running social media campaigns; or Developers building apps that require visual assets. You're the person who gets annoyed when an AI can generate text but needs a way to make it look good.

Concept Artist

Using variation and reroll, you quickly prototype multiple looks for a character or scene, refining the concept until it's perfect.

Marketing Copywriter

You need custom visuals for blog headers or social media campaigns; you use describe on reference images to pull out effective prompt structures.

Full-Stack Developer

You integrate image generation into a user flow, using the task ID returned by imagine and checking status with get_task_status before displaying the final asset.

What Changes When You Connect

Rapid Prototyping: Don't manually adjust prompts. Use the variation tool to instantly explore multiple takes on a concept without rewriting text. You get immediate visual alternatives for every initial idea.

Advanced Composition: Need something complex? The blend tool lets you combine 2-5 source images, guiding the outcome with an optional prompt. This goes way beyond simple side-by-side collages.

Image Quality Control: Generating a thumbnail isn't enough. Use upscale immediately after generation to boost resolution on key assets before they leave your workflow.

Iterative Workflow Management: The system doesn't just generate and vanish. Use get_tasks to monitor all running jobs, ensuring you never lose track of a background image or asset ID.

Smart Editing: Forget Photoshop masks. With the inpaint tool, your agent edits specific sections—say, changing the color of a character's jacket—without touching anything else in the picture.

See it in action

01 01

Developing Character Concept Art

A developer needs 10 different looks for a villain. They run imagine with the base prompt. The initial four images are okay, but not right. Instead of restarting, they use variation on image #3 to explore that specific angle, and then repeat the process until they nail the look.

02 02

Creating a Composite Scene

A marketing team has three reference photos: a background landscape, a character portrait, and an object. They run blend, providing all three URLs plus a prompt like 'dramatic lighting, cinematic shot.' The agent stitches them into one cohesive piece.

03 03

Improving Source Material

A designer finds a low-res sketch for a product mockup. They upload it and use describe to pull out the style keywords ('steampunk, brass accents'). Then they feed those keywords back into imagine to generate high-quality versions.

04 04

Fixing Background Elements

An agent generates a perfect portrait, but there's an unwanted power line in the background. Instead of regenerating the whole image, they use inpaint, masking just the wires and letting the AI fill in the missing detail naturally.

The honest tradeoffs

Assuming instant results

Anti-pattern

Running a complex prompt via imagine and then immediately calling for upscale. The system will fail because you need to wait for the job to finish first.

The Fix

Always check status. Run imagine -> Use the returned Task ID in get_task_status repeatedly until it reports 'complete' -> THEN call upscale. This ensures reliable data flow.

Trying to recreate a prompt manually

Anti-pattern

Looking at an image and guessing keywords like 'epic, cool, forest.' The resulting images will be vague because the style context is missing.

The Fix

Use describe first. This tool analyzes the image's composition and returns the specific, detailed text prompt—like 'cinematic watercolor painting of a lone wolf...'—which you can then use with imagine.

Forgetting about multiple sources

Anti-pattern

Attempting to combine three images but only providing two URLs to the blending tool. The blend will fail or ignore the missing component.

The Fix

The blend tool requires all source image URLs up front. Make sure you collect and provide every image URL needed for a complete composition.

When It Fits, When It Doesn't

Use this server if your core problem is generating, iterating on, or compositing visual assets based on natural language instructions. You need the output to be high-fidelity artwork, not just raw data.

Don't use it if you only need simple image resizing (use a dedicated library for that) or if your process requires structured metadata extraction (use an OCR service instead). If your goal is merely text generation or code completion, this server does nothing. It is purely a visual asset pipeline; its strength lies in the interdependency of imagine -> get_task_status -> (upscale/variation) and using describe to inform subsequent prompts.

Questions you might have

How do I know when my image generation task is ready using get_task_status? +

The get_task_status tool reports the progress percentage and, critically, provides the final image URLs once the job is complete. If it's not finished, it gives you the current status instead.

Can I use blend to combine real-life photos with generated art? +

Yes. The blend tool takes URLs of any images—whether they came from a photo library or were just created by Midjourney—and combines them using your guidance prompt.

What is the difference between reroll and variation in Midjourney MCP Server? +

They serve different purposes. Use reroll when you want 4 completely new ideas based on a prompt. Use variation when you like one specific image but want to explore slightly different interpretations of just that concept.

What do I do if my generated art is low quality and needs fixing? Do I use inpaint or upscale? +

If the whole image is too small, use upscale. If the overall resolution is fine but a specific part (like a hand or a background object) is wrong, mask that area and run inpaint.

If I need to track multiple ongoing generations, should I use get_tasks or check status with get_task_status? +

Use get_tasks to list recent generation activity. This shows IDs and overall progress for everything you've run recently. You only use get_task_status if you know the specific task ID and need a precise, real-time update on its current percentage.

When using blend, are there restrictions on the source images I can provide? +

The system allows blending between 2 to 5 image URLs. While you can mix different sources, remember that providing a guiding text prompt helps the AI know how to combine them into one cohesive composition.

What happens if I run `imagine` with an overly complex or ambiguous prompt? +

The server will generate a task ID and thumbnail regardless, but the resulting image quality might be unpredictable. If you hit generation limits or receive an error, always check your API key credentials first.

How do I use describe to improve my prompt writing for future generations? +

After using describe on a cool piece of art, the output gives you a text prompt. You copy that generated text and feed it directly into imagine. This is the fastest way to recreate a specific style or composition.

How do I get a Midjourney API key? +

Sign up at Ace Data 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.

Connect to your AI in seconds.

Blend

Describe

Get task status

Midjourney MCP Server: 9 Tools for Visual Generation

Make your AI actually useful.

Blend

Describe

Get Task Status

Get Tasks

Imagine

Inpaint

Reroll

Upscale

Variation

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Visual concepting shouldn't feel like managing five different art apps.

Midjourney MCP Server: Control your image assets from chat.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Developing Character Concept Art

Creating a Composite Scene

Improving Source Material

Fixing Background Elements

The honest tradeoffs

Assuming instant results

Trying to recreate a prompt manually

Forgetting about multiple sources

When It Fits, When It Doesn't

Questions you might have