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

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.