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midjourney-mcp

v1.0.0

Published

A Model Context Protocol server for Midjourney integration via MJ API

Readme

Midjourney MCP Server

A Model Context Protocol (MCP) server that provides Midjourney image generation capabilities through the MJ API.

🚀 Quick Start

  1. Install and run directly:

    npx midjourney-mcp
  2. Add to Claude Desktop (claude_desktop_config.json):

    {
      "mcpServers": {
        "midjourney": {
          "command": "npx",
          "args": ["midjourney-mcp"]
        }
      }
    }
  3. Start creating images:

    "Create a cyberpunk cityscape at night with neon lights, 16:9 aspect ratio"

That's it! The server is pre-configured with working API credentials.

Features

  • Text-to-Image Generation: Create images using Midjourney with text prompts
  • Task Status Tracking: Monitor the progress of image generation tasks
  • Flexible Parameters: Support for aspect ratios, quality settings, and styles
  • Easy Integration: Works with any MCP-compatible host (Claude Desktop, Zed, etc.)

Installation

Using npx (Recommended)

npx midjourney-mcp

Global Installation

npm install -g midjourney-mcp
midjourney-mcp

Local Development

git clone <repository-url>
cd midjourney-mcp
npm install
npm run build
npm run dev

Configuration

Set your MJ API key as an environment variable:

export MJ_API_KEY="sk-your-api-key-here"

Optional Environment Variables

  • MJ_BASE_URL: API base URL (default: "https://aiclound.vip")
  • MJ_TIMEOUT: Request timeout in milliseconds (default: 30000)
  • MJ_MAX_RETRIES: Maximum retry attempts (default: 3)

Usage with Claude Desktop

Add the following to your Claude Desktop configuration file:

macOS

~/Library/Application Support/Claude/claude_desktop_config.json

Windows

%APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "midjourney": {
      "command": "npx",
      "args": ["midjourney-mcp"],
      "env": {
        "MJ_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

Available Tools

🎨 midjourney_imagine

Generate images using text prompts with full parameter support.

Parameters:

  • prompt (required): Text description of the image to generate
  • aspect_ratio (optional): Image aspect ratio (1:1, 16:9, 9:16, 4:3, 3:4, 2:3, 3:2, 5:4, 4:5)
  • quality (optional): Image quality (low, medium, high)
  • style (optional): Style setting (raw, stylize)
  • model (optional): Midjourney model (midjourney, niji, niji-5, niji-6)
  • chaos (optional): Chaos level 0-100 (variation amount)
  • stylize (optional): Stylization level 0-1000 (artistic level)
  • weird (optional): Weirdness level 0-3000 (unusual results)
  • seed (optional): Seed for reproducible results
  • no (optional): Negative prompt (things to avoid)
  • reference_images (optional): Array of base64 encoded reference images

📋 midjourney_get_task

Check the status and results of any Midjourney task.

Parameters:

  • task_id (required): The ID of the task to check

📈 midjourney_upscale

Upscale a specific image from a completed generation.

Parameters:

  • task_id (required): The ID of the completed generation task
  • index (required): Which image to upscale (1-4)

🎲 midjourney_variation

Create variations of a specific image.

Parameters:

  • task_id (required): The ID of the completed generation task
  • index (required): Which image to create variations of (1-4)

🔄 midjourney_reroll

Regenerate a task with the same prompt but different results.

Parameters:

  • task_id (required): The ID of the task to reroll

🎭 midjourney_blend

Blend 2-5 images together to create a new combined image.

Parameters:

  • images (required): Array of 2-5 base64 encoded images to blend
  • aspect_ratio (optional): Aspect ratio for the blended image

📝 midjourney_describe

Generate text descriptions of images that could be used as prompts.

Parameters:

  • image (required): Base64 encoded image to describe

⚡ midjourney_action

Execute button actions on completed tasks (Zoom, Pan, etc.).

Parameters:

  • task_id (required): The ID of the task with available actions
  • action (required): The action to perform (button label or custom ID)

Example Usage

Once configured with Claude Desktop, you can use natural language to generate images:

"Create a beautiful sunset over mountains with aspect ratio 16:9"
"Generate a portrait of a cat in high quality using niji model"
"Make an abstract art piece with high chaos and stylization"
"Check the status of task 1748519117239161"
"Upscale image 1 from my last generation"
"Create variations of image 2"

✨ Recent Improvements (v1.1.0)

Enhanced User Experience

  • 🎨 Improved Response Format: All tools now provide clear, actionable feedback with emojis and structured information
  • ⏱️ Real-time Duration Tracking: See how long tasks have been running with automatic duration calculation
  • 🔍 Smart Status Detection: Automatic detection of stuck tasks (>15 minutes) with helpful troubleshooting suggestions
  • 💡 Better Guidance: Clear next steps and usage tips for every operation, including estimated completion times

Advanced Task Management

  • 📊 Comprehensive Status Reports: Detailed task information with optional debug mode showing raw API responses
  • 🖼️ Direct Image Display: Generated images are displayed directly in responses using proper image content types
  • 🎮 Organized Action Buttons: Clear categorization of upscale (U1-U4), variation (V1-V4), and reroll options
  • ⚠️ Stuck Task Detection: Automatic warnings for tasks running longer than expected with actionable advice

Improved Tool Responses

  • Immediate Feedback: All submission tools now return task IDs immediately with clear status information
  • Estimated Timing: Realistic time estimates for different operations (30-90s for imagine, 30-60s for upscale, etc.)
  • Usage Examples: Built-in examples showing how to use follow-up actions
  • Error Handling: Better error messages with actionable suggestions and troubleshooting tips

✅ Test Status

Last Tested: 2025-05-29 Status: 🎉 All core functions working perfectly

Successful Test Results

  • ✅ Server startup and MCP protocol compliance
  • ✅ All 8 tools correctly registered and responding
  • ✅ Imagine tool: Successfully submitted and completed task ID 1748526068622289
  • ✅ Task status queries working with enhanced progress reports and image display
  • ✅ Parameter validation and comprehensive error handling
  • ✅ API authentication and communication
  • ✅ Claude Desktop integration ready and tested

Example Successful Generation

Prompt: "画个小猫:一只可爱的小猫,用卡通风格绘制,带有柔和的色彩和梦幻般的背景"
Parameters: 1:1 aspect ratio, medium quality
Result: Task ID 1748526068622289 completed successfully in 3m 20s
Generated Image: Available with U1-U4 upscale and V1-V4 variation options

Development

Project Structure

midjourney-mcp/
├── src/
│   ├── index.ts          # Main server entry point
│   ├── tools/
│   │   └── midjourney.ts # Midjourney tool implementations
│   └── utils/
│       └── config.ts     # Configuration management
├── build/                # Compiled JavaScript
├── package.json
└── tsconfig.json

Scripts

  • npm run build: Compile TypeScript to JavaScript
  • npm run watch: Watch for changes and recompile
  • npm run dev: Build and run the server
  • npm run inspector: Debug with MCP inspector

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.