Metadata-Version: 2.4
Name: mcp-midjourney
Version: 2026.10.8.0
Summary: MCP Server for Midjourney AI Image Generation via AceDataCloud API
Project-URL: Homepage, https://github.com/AceDataCloud/MidjourneyMCP
Project-URL: Documentation, https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start
Project-URL: Repository, https://github.com/AceDataCloud/MidjourneyMCP
Project-URL: Issues, https://github.com/AceDataCloud/MidjourneyMCP/issues
Project-URL: Changelog, https://github.com/AceDataCloud/MidjourneyMCP/blob/main/CHANGELOG.md
Author-email: AceDataCloud <support@acedata.cloud>
Maintainer-email: AceDataCloud <support@acedata.cloud>
License: MIT
License-File: LICENSE
Keywords: acedata,ai,art,claude,generation,image,llm,mcp,midjourney,model-context-protocol
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Requires-Dist: cryptography>=42.0.0
Requires-Dist: httpx>=0.27.0
Requires-Dist: loguru>=0.7.0
Requires-Dist: mcp<2,>=1.2.0
Requires-Dist: pydantic>=2.0.0
Requires-Dist: python-dotenv>=1.0.0
Requires-Dist: redis<7,>=5.0.0
Provides-Extra: all
Requires-Dist: build>=1.2.0; extra == 'all'
Requires-Dist: fakeredis>=2.25.0; extra == 'all'
Requires-Dist: mypy>=1.10.0; extra == 'all'
Requires-Dist: pre-commit>=3.7.0; extra == 'all'
Requires-Dist: pytest-asyncio>=0.23.0; extra == 'all'
Requires-Dist: pytest-cov>=5.0.0; extra == 'all'
Requires-Dist: pytest>=8.0.0; extra == 'all'
Requires-Dist: respx>=0.21.0; extra == 'all'
Requires-Dist: ruff>=0.4.0; extra == 'all'
Requires-Dist: twine>=5.0.0; extra == 'all'
Provides-Extra: dev
Requires-Dist: mypy>=1.10.0; extra == 'dev'
Requires-Dist: pre-commit>=3.7.0; extra == 'dev'
Requires-Dist: ruff>=0.4.0; extra == 'dev'
Provides-Extra: release
Requires-Dist: build>=1.2.0; extra == 'release'
Requires-Dist: twine>=5.0.0; extra == 'release'
Provides-Extra: test
Requires-Dist: fakeredis>=2.25.0; extra == 'test'
Requires-Dist: pytest-asyncio>=0.23.0; extra == 'test'
Requires-Dist: pytest-cov>=5.0.0; extra == 'test'
Requires-Dist: pytest>=8.0.0; extra == 'test'
Requires-Dist: respx>=0.21.0; extra == 'test'
Description-Content-Type: text/markdown

<!-- Generated by scripts/marketing_readmes.py from README.md; do not edit. -->
# MidjourneyMCP

<!-- mcp-name: io.github.AceDataCloud/mcp-midjourney -->

[![PyPI version](https://img.shields.io/pypi/v/mcp-midjourney.svg)](https://pypi.org/project/mcp-midjourney/)
[![PyPI downloads](https://img.shields.io/pypi/dm/mcp-midjourney.svg)](https://pypi.org/project/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?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_platform).

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

## Tool Reference

| Tool | Description |
|------|-------------|
| `midjourney_imagine` | Generate AI images from a text prompt using Midjourney. |
| `midjourney_transform` | Transform an existing Midjourney image with various operations. |
| `midjourney_blend` | Blend multiple images together using Midjourney. |
| `midjourney_with_reference` | Generate images using a reference image as inspiration. |
| `midjourney_edit` | Edit an existing image using Midjourney. |
| `midjourney_describe` | Get AI-generated descriptions of an image. |
| `midjourney_generate_video` | Generate a video from text prompt and reference image using Midjourney. |
| `midjourney_extend_video` | Extend an existing Midjourney video to make it longer. |
| `midjourney_translate` | Translate Chinese text to English for use as Midjourney prompts. |
| `midjourney_shorten` | Analyze and shorten long Midjourney prompts while preserving key ideas. |
| `midjourney_get_seed` | Get the seed value of a previously generated Midjourney image. |
| `midjourney_get_task` | Query the status and result of a Midjourney generation task. |
| `midjourney_get_tasks_batch` | Query multiple Midjourney generation tasks at once. |
| `midjourney_list_actions` | List all available Midjourney API actions and corresponding tools. |
| `midjourney_get_prompt_guide` | Get guidance on writing effective prompts for Midjourney. |
| `midjourney_list_transform_actions` | List all available transformation actions for Midjourney images. |

## Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is `https://midjourney.mcp.acedata.cloud/mcp`. Choose one route for the MCP client:

| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the `Authorization: Bearer …` header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install `mcp-midjourney` and pass `ACEDATACLOUD_API_TOKEN` to that process. It still calls the AceDataCloud API. |

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). **DCR registers the client application; it is not an API key.** OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review [current service documentation](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed `Authorization` header for the same server.

### Hosted OAuth examples

- **Claude and Claude Desktop chat:** Add a remote custom connector in `Customize → Connectors → Add custom connector`, enter `https://midjourney.mcp.acedata.cloud/mcp`, select sign-in, and choose **Register automatically** if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local `claude_desktop_config.json` is a separate setup. [Claude connector guide](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp).
- **Claude Code:** `claude mcp add --transport http --scope user midjourney https://midjourney.mcp.acedata.cloud/mcp`, then `claude mcp login midjourney`. Check `/mcp`. [Claude Code MCP guide](https://code.claude.com/docs/en/mcp).
- **Cursor:** Add a remote server with only `https://midjourney.mcp.acedata.cloud/mcp`. For a project, merge the entry below into `<project>/.cursor/mcp.json`; for personal use, use `~/.cursor/mcp.json`. [Cursor MCP guide](https://cursor.com/docs/mcp).
- **VS Code / Copilot:** Run **MCP: Add Server**, select HTTP, enter `https://midjourney.mcp.acedata.cloud/mcp`, then finish the browser sign-in. New portable workspace configs use `<project>/.mcp.json`; the VS Code-specific format below uses `<project>/.vscode/mcp.json` or the user profile. Check **MCP: List Servers**. [VS Code MCP setup](https://code.visualstudio.com/docs/agent-customization/mcp-servers).
- **Codex:** `codex mcp add midjourney --url https://midjourney.mcp.acedata.cloud/mcp`, then `codex mcp login midjourney`. Its user settings are in `~/.codex/config.toml`. [Official Codex MCP guide](https://developers.openai.com/codex/mcp/).

Cursor project config (OAuth):

```json
{
  "mcpServers": {
    "midjourney": {"url": "https://midjourney.mcp.acedata.cloud/mcp"}
  }
}
```

VS Code-specific workspace config (OAuth):

```json
{
  "servers": {
    "midjourney": {"type": "http", "url": "https://midjourney.mcp.acedata.cloud/mcp"}
  }
}
```

### Hosted API token

Sign in at [AceDataCloud Platform](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_platform), open the [service page](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start), and obtain an API credential. A fixed Bearer header is useful when your client lacks OAuth; an invalid header does not fall back to OAuth in Claude Code. The header value is sensitive, so keep it out of committed files and screenshots.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

```bash
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user midjourney https://midjourney.mcp.acedata.cloud/mcp \
  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"
```

For a Claude Code project config, put a variable reference in `<project>/.mcp.json` and set that variable in the environment that launches Claude Code:

```json
{
  "mcpServers": {
    "midjourney": {
      "type": "http",
      "url": "https://midjourney.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}
    }
  }
}
```

Cursor uses a different environment-variable syntax in `~/.cursor/mcp.json` or an uncommitted project config:

```json
{
  "mcpServers": {
    "midjourney": {
      "url": "https://midjourney.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}
    }
  }
}
```

In VS Code, run **MCP: Open User Configuration** and merge this server plus its masked input; `${input:...}` is for VS Code's user/workspace format and is not portable to the Agent Host `.mcp.json` format:

```json
{
  "inputs": [
    {"id": "acedata-midjourney-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}
  ],
  "servers": {
    "midjourney": {
      "type": "http",
      "url": "https://midjourney.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${input:acedata-midjourney-token}"}
    }
  }
}
```

For **Cline**, use its MCP configuration UI or CLI file `~/.cline/data/settings/cline_mcp_settings.json`; its remote transport value is `streamableHttp`. For **JetBrains AI Assistant**, add a remote URL from **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**. For **Zed**, use a `context_servers` entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. [Cline](https://docs.cline.bot/mcp/mcp-overview) · [JetBrains](https://www.jetbrains.com/help/ai-assistant/mcp.html) · [Zed](https://zed.dev/docs/ai/mcp).

### Local stdio

Install the package and give the local process an API token:

```bash
python -m pip install mcp-midjourney
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
mcp-midjourney
```

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS). `uvx` requires [uv](https://docs.astral.sh/uv/) on `PATH`:

```json
{
  "mcpServers": {
    "midjourney": {
      "command": "uvx",
      "args": ["mcp-midjourney"],
      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}
    }
  }
}
```

Keep this user-level file private. Self-hosted HTTP uses `mcp-midjourney --transport http --port 8000`; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

### Check before using the service

1. `https://midjourney.mcp.acedata.cloud/health` returning `{"status":"ok"}` checks endpoint reachability only.
2. Confirm that the MCP client loads tools. `midjourney_list_actions` is a reference tool; it does not verify downstream API access or balance.
3. If you need a full API check, call `midjourney_generate_video` with your own valid input after reviewing [current service documentation](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) and displayed pricing. If the result contains a task ID, call `midjourney_get_task` on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For **401**, check which auth route the client used and whether the token or OAuth session is valid. A **403** may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

## 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 |
| `midjourney_get_seed`  | Get the seed value of a generated image       |

### 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` |
| `ACEDATACLOUD_OAUTH_CLIENT_ID`  | OAuth client ID (hosted mode) | —                           |
| `ACEDATACLOUD_PLATFORM_BASE_URL` | Platform base URL            | `https://platform.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/MidjourneyMCP.git
cd MidjourneyMCP

# 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

```
MidjourneyMCP/
├── 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
├── deploy/                 # Deployment configs
│   └── production/
│       ├── deployment.yaml
│       ├── ingress.yaml
│       └── service.yaml
├── .env.example           # Environment template
├── .gitignore
├── CHANGELOG.md
├── Dockerfile             # Docker image for HTTP mode
├── docker-compose.yaml    # Docker Compose config
├── LICENSE
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
└── README.md
```

## API Reference

This server wraps the [AceDataCloud Midjourney API](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_platform):

- [Midjourney Imagine API](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) - Image generation
- [Midjourney Describe API](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) - Image description
- [Midjourney Tasks API](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) - Task queries
- [Midjourney Edits API](https://platform.acedata.cloud/documents/midjourney-edits?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_documents_midjourney-edits) - Image editing
- [Midjourney Videos API](https://platform.acedata.cloud/documents/midjourney-videos?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_documents_midjourney-videos) - Video generation
- [Midjourney Translate API](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start) - 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

## Service details

<!-- canonical-documentation -->
[Service details](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_quick_start)

## License

MIT License - see [LICENSE](LICENSE) for details.

## Links

- [AceDataCloud Platform](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_platform)
- [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?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_package_platform)
