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AceDataCloud

MCP Midjourney

by AceDataCloud
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Python
Remote

MCP Midjourney

Python 3.10+ License: MIT MCP

A Model Context Protocol (MCP) server for AI image and video generation using Midjourney through the AceDataCloud API.

Generate AI images, videos, and manage creative projects directly from Claude, VS Code, or any MCP-compatible client.

Features

  • Image Generation - Create AI-generated images from text prompts

  • Image Transformation - Upscale, create variations, zoom, and pan images

  • Image Blending - Combine multiple images into creative fusions

  • Reference-Based Generation - Use existing images as inspiration

  • Image Description - Get AI descriptions of images (reverse prompt)

  • Image Editing - Edit images with text prompts and masks

  • Video Generation - Create videos from text and reference images

  • Video Extension - Extend existing videos to make them longer

  • Translation - Translate Chinese prompts to English

  • Task Tracking - Monitor generation progress and retrieve results

Quick Start

1. Get API Token

Get your API token from AceDataCloud Platform:

  1. Sign up or log in

  2. Navigate to Midjourney Imagine API

  3. Click "Acquire" to get your token

2. Install

# Clone the repository git clone https://github.com/AceDataCloud/mcp-midjourney.git cd mcp-midjourney # Install with pip pip install -e . # Or with uv (recommended) uv pip install -e .

3. Configure

# Copy example environment file cp .env.example .env # Edit with your API token echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env

4. Run

# Run the server mcp-midjourney # Or with Python directly python main.py

Claude Desktop Integration

Add to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "midjourney": { "command": "mcp-midjourney", "env": { "ACEDATACLOUD_API_TOKEN": "your_api_token_here" } } } }

Or if using uv:

{ "mcpServers": { "midjourney": { "command": "uv", "args": ["run", "--directory", "/path/to/mcp-midjourney", "mcp-midjourney"], "env": { "ACEDATACLOUD_API_TOKEN": "your_api_token_here" } } } }

Available Tools

Image Generation

Tool

Description

midjourney_imagine

Generate images from a text prompt (creates 2x2 grid)

midjourney_transform

Transform images (upscale, variation, zoom, pan)

midjourney_blend

Blend multiple images together

midjourney_with_reference

Generate using a reference image as inspiration

Image Editing

Tool

Description

midjourney_edit

Edit an existing image with text prompt

midjourney_describe

Get AI descriptions of an image (reverse prompt)

Video

Tool

Description

midjourney_generate_video

Generate video from text and reference image

midjourney_extend_video

Extend existing video to make it longer

Utility

Tool

Description

midjourney_translate

Translate Chinese text to English for prompts

Tasks

Tool

Description

midjourney_get_task

Query a single task status

midjourney_get_tasks_batch

Query multiple tasks at once

Information

Tool

Description

midjourney_list_actions

List available API actions

midjourney_get_prompt_guide

Get prompt writing guide

midjourney_list_transform_actions

List transformation actions

Usage Examples

Generate Image from Prompt

User: Create a cyberpunk city at night Claude: I'll generate a cyberpunk city image for you. [Calls midjourney_imagine with prompt="Cyberpunk city at night, neon lights, rain, futuristic, detailed --ar 16:9"]

Upscale an Image

User: Upscale the second image Claude: I'll upscale the top-right image from the grid. [Calls midjourney_transform with image_id and action="upscale2"]

Blend Multiple Images

User: Blend these two images: [url1] and [url2] Claude: I'll blend these images together. [Calls midjourney_blend with image_urls=[url1, url2]]

Generate Video

User: Animate this image [url] with gentle movement Claude: I'll create a video from this image. [Calls midjourney_generate_video with image_url and prompt="Gentle camera movement, cinematic"]

Generation Modes

Mode

Description

fast

Recommended for most use cases (default)

turbo

Faster generation, uses more credits

relax

Slower generation, cheaper

Configuration

Environment Variables

Variable

Description

Default

ACEDATACLOUD_API_TOKEN

API token from AceDataCloud

Required

ACEDATA_API_BASE_URL

API base URL

https://api.acedata.cloud

MIDJOURNEY_DEFAULT_MODE

Default generation mode

fast

MIDJOURNEY_REQUEST_TIMEOUT

Request timeout in seconds

180

LOG_LEVEL

Logging level

INFO

Command Line Options

mcp-midjourney --help Options: --version Show version --transport Transport mode: stdio (default) or http --port Port for HTTP transport (default: 8000)

Development

Setup Development Environment

# Clone repository git clone https://github.com/AceDataCloud/mcp-midjourney.git cd mcp-midjourney # Create virtual environment python -m venv .venv source .venv/bin/activate # or `.venv\Scripts\activate` on Windows # Install with dev dependencies pip install -e ".[dev,test]"

Run Tests

# Run unit tests pytest # Run with coverage pytest --cov=core --cov=tools # Run integration tests (requires API token) pytest tests/test_integration.py -m integration

Code Quality

# Format code ruff format . # Lint code ruff check . # Type check mypy core tools

Build & Publish

# Install build dependencies pip install -e ".[release]" # Build package python -m build # Upload to PyPI twine upload dist/*

Project Structure

MCPMidjourney/ ├── core/ # Core modules │ ├── __init__.py │ ├── client.py # HTTP client for Midjourney API │ ├── config.py # Configuration management │ ├── exceptions.py # Custom exceptions │ ├── server.py # MCP server initialization │ ├── types.py # Type definitions │ └── utils.py # Utility functions ├── tools/ # MCP tool definitions │ ├── __init__.py │ ├── describe_tools.py # Image description tools │ ├── edits_tools.py # Image editing tools │ ├── imagine_tools.py # Image generation tools │ ├── info_tools.py # Information tools │ ├── task_tools.py # Task query tools │ ├── translate_tools.py # Translation tools │ └── video_tools.py # Video generation tools ├── prompts/ # MCP prompt templates │ └── __init__.py ├── tests/ # Test suite ├── .env.example # Environment template ├── .gitignore ├── CHANGELOG.md ├── LICENSE ├── main.py # Entry point ├── pyproject.toml # Project configuration └── README.md

API Reference

This server wraps the AceDataCloud Midjourney API:

Contributing

Contributions are welcome! Please:

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing)

  5. Open a Pull Request

License

MIT License - see LICENSE for details.

Links

Made with love by AceDataCloud

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