How does this skill bypass the need for a Discord account?

Normally, Midjourney requires a Discord account and manual chat commands; this skill eliminates that barrier by providing a direct HTTP REST API and CLI, allowing for fully automated, headless image generation.

Which AI agents or development environments are supported?

The package includes a standalone Python CLI for terminal use and a Model Context Protocol (MCP) server, making it compatible with AI tools like Claude Desktop, Cursor, and other MCP-enabled agents.

What exactly is included in the purchase?

You will receive the full Python source code for the CLI and MCP server, along with comprehensive documentation for environment variable configuration and API integration.

What are the technical requirements for installation?

Setup is simple: ensure Python 3 is installed, install the required `requests` library, and set your `MIDJOURNEY_API_KEY` as an environment variable to begin generating images.

Can I use this skill to create variations or upscale specific quadrants of an image?

Currently, the skill focuses on the core generation lifecycle (prompting to local download); it does not yet support secondary actions like variations, region-specific upscaling, or image blending.

How does the skill handle long processing times or API rate limits?

The skill features built-in polling logic and error handling that automatically manages API timeouts and informs you if you have reached concurrency limits or exhausted your generation quota.

midjourney api

Midjourney requires a Discord account and manual interaction, which breaks automated agent workflows.

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midjourney api

Example session with this skill installed

Generate a 16:9 image of a futuristic laboratory with blue neon lighting and download it to the ./assets folder.

Read your context and instructions
Compiled the midjourney api
Generated the image

I have submitted the generation request to Midjourney. The task was processed, and the resulting images have been downloaded to your local directory.

Midjourney Generation Results

Attribute	Details
Task ID	`TzmJP821WQM5jHOx7nR7r`
Status	`Completed`
Prompt	`a futuristic laboratory with blue neon lighting --ar 16:9`
Local Path	`./assets/midjourney_TzmJP821WQM5jHOx7nR7r/`
Grid URL	View Grid Image
Dimensions	1456 x 816

Files Downloaded:

grid.png (2x2 preview)
variant_1.png
variant_2.png
variant_3.png
variant_4.png

Next steps

Inspect the upscaled variants in the ./assets folder to choose the best result.
If the lighting is too dark, I can resubmit the prompt with --no shadows or a higher --stylize value.
Use the variant_1.png file for your presentation mockup.

midjourney-api.png

PNG · 1536×1024

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

About this skill

Midjourney requires a Discord account and manual interaction, which breaks automated agent workflows. This skill bridges that gap by providing a direct HTTP interface to Midjourney's generation engine.

What it does

Headless generation triggers Midjourney images via REST API without a Discord account or bot setup.
Async job management handles the submission of text-to-image prompts and retrieves unique task IDs.
Automatic polling monitors job status and waits for generation to complete before returning results.
Local asset delivery downloads image grids and individual upscaled variants directly to your local file system.
Batch processing supports submitting multiple prompts and tracking them via a single status check.

How it works

Configure by setting your MIDJOURNEY_API_KEY as an environment variable.
Submit a prompt using the bundled Python CLI or MCP server to receive a taskId.
Poll the status endpoint or use the generate command to wait for the image processing to finish.
Retrieve the final image URLs and local file paths once the job status moves to completed.

Frameworks & tools

The tool is built with Python 3 and relies on the requests library for HTTP communication. It includes a standalone CLI script and an MCP server for integration with Claude Desktop, Cursor, or other MCP-compatible environments.

Why this beats prompting it yourself

Writing the polling logic, handling HTTP timeouts, and managing local downloads for large image files is repetitive and error-prone. This skill encapsulates the entire lifecycle, including error handling for concurrency limits and quota exhaustion, so you can treat image generation as a single function call.

Use cases

Automate blog post thumbnail generation based on article content.
Create bulk assets for game development or UI mockups using batch commands.
Integrate AI art generation into custom web applications without Discord dependencies.
Build agents that can visually iterate on design concepts through code.

Known limitations

This skill only supports initial generation jobs. Operations like upscaling specific quadrants, variations, or blending multiple images are currently not implemented.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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Click the path to copy it. Create the folder if it does not exist yet.

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Midjourney Api

Midjourney

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midjourney api