mcp-midjourney 2026.2.15.3
MCP Server for Midjourney AI Image Generation via AceDataCloud API
License: MIT
Requires Python: >=3.10
Keywords: acedata, ai, art, claude, generation, image, llm, mcp, midjourney, model-context-protocol

# MCP Midjourney

[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for AI image and video generation using [Midjourney](https://midjourney.com) through the [AceDataCloud API](https://platform.acedata.cloud).

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](https://platform.acedata.cloud):

1. Sign up or log in
2. Navigate to [Midjourney Imagine API](https://platform.acedata.cloud/documents/e52c028d-897a-4d51-b110-60fccbe6118d)
3. Click "Acquire" to get your token

### 2. Install

```bash
# 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

```bash
# Copy example environment file
cp .env.example .env

# Edit with your API token
echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env
```

### 4. Run

```bash
# 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`

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

Or if using uv:

```json
{
  "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** |
| `ACEDATACLOUD_API_BASE_URL` | API base URL | `https://api.acedata.cloud` |
| `MIDJOURNEY_DEFAULT_MODE` | Default generation mode | `fast` |
| `MIDJOURNEY_REQUEST_TIMEOUT` | Request timeout in seconds | `1800` |
| `LOG_LEVEL` | Logging level | `INFO` |

### Command Line Options

```bash
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

```bash
# 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

```bash
# 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

```bash
# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools
```

### Build & Publish

```bash
# 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](https://platform.acedata.cloud):

- [Midjourney Imagine API](https://platform.acedata.cloud/documents/e52c028d-897a-4d51-b110-60fccbe6118d) - Image generation
- [Midjourney Describe API](https://platform.acedata.cloud/documents/870e973b-712a-4686-ab8b-beae27f129ce) - Image description
- [Midjourney Tasks API](https://platform.acedata.cloud/documents/58ea7cc1-c685-40c3-a619-f29f9ac5d8f4) - Task queries
- [Midjourney Edits API](https://platform.acedata.cloud/documents/midjourney-edits) - Image editing
- [Midjourney Videos API](https://platform.acedata.cloud/documents/midjourney-videos) - Video generation
- [Midjourney Translate API](https://platform.acedata.cloud/documents/e067d19b-7a66-4458-a45f-0fe88c1d5d34) - Translation

## 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](LICENSE) for details.

## Links

- [AceDataCloud Platform](https://platform.acedata.cloud)
- [Midjourney Official](https://midjourney.com)
- [Model Context Protocol](https://modelcontextprotocol.io)
- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)

---

Made with love by [AceDataCloud](https://platform.acedata.cloud)