MidjourneyMCP

# MidjourneyMCP

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

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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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_readme_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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_readme_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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_readme_platform), open the [service page](https://platform.acedata.cloud/services/d87e5e99-b797-4ade-9e73-b896896b0461?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=midjourney_mcp_readme_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://d