DALL-E MCP Server

A Model Context Protocol (MCP) server for generating images using OpenAI's DALL-E 3 model. This server enables ChatGPT and other MCP-compatible clients to generate high-quality images from text prompts.

Features

• DALL-E 3 Integration: Uses OpenAI's latest image generation model

• Flexible Parameters: Configurable image size, quality, and style

• Local File Storage: Automatically saves generated images to local filesystem

• Error Handling: Comprehensive error handling with detailed logging

• TypeScript: Built with TypeScript for type safety and better development experience

Related MCP server: DALL-E MCP Server

Installation

1. Clone this repository:

git clone <repository-url>
cd dall-e-mcp-server

2. Install dependencies:

npm install

3. Set up environment variables:

cp .env.example .env

4. Edit .env file and add your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key_here
DEFAULT_IMAGE_SIZE=1024x1024
DEFAULT_QUALITY=standard
OUTPUT_DIRECTORY=./generated_images

Usage

Running the Server

Development Mode

npm run dev

Production Mode

npm run build
npm start

Integration with Claude Desktop

Add the server to your Claude Desktop configuration:

macOS/Linux (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "dall-e-server": {
      "command": "node",
      "args": ["/path/to/dall-e-mcp-server/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key_here"
      }
    }
  }
}

Windows (%APPDATA%/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "dall-e-server": {
      "command": "node",
      "args": ["C:\\path\\to\\dall-e-mcp-server\\dist\\index.js"],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key_here"
      }
    }
  }
}

Available Tools

generate_image

Generates an image using DALL-E 3 based on a text prompt.

Parameters:

• prompt (required): Text description of the image to generate

• size (optional): Image dimensions - 1024x1024, 1024x1792, or 1792x1024 (default: 1024x1024)

• quality (optional): Image quality - standard or hd (default: standard)

• style (optional): Image style - vivid or natural (default: vivid)

• filename (optional): Custom filename without extension

Example Usage:

{
  "prompt": "A serene mountain landscape at sunset with a lake",
  "size": "1024x1792",
  "quality": "hd",
  "style": "natural",
  "filename": "mountain_sunset"
}

Response:

{
  "success": true,
  "message": "Image generated successfully",
  "details": {
    "prompt": "A serene mountain landscape at sunset with a lake",
    "size": "1024x1792",
    "quality": "hd",
    "style": "natural",
    "file_path": "/absolute/path/to/generated_images/mountain_sunset.png",
    "file_size": 1048576,
    "timestamp": "2025-01-15T10:30:00.000Z"
  }
}

Configuration

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (required)

• DEFAULT_IMAGE_SIZE: Default image size (default: 1024x1024)

• DEFAULT_QUALITY: Default quality setting (default: standard)

• OUTPUT_DIRECTORY: Directory to save generated images (default: ./generated_images)

Image Formats

All images are saved as PNG files with automatic timestamping if no filename is provided.

Development

Project Structure

dall-e-mcp-server/
├── src/
│   └── index.ts          # Main server implementation
├── generated_images/     # Generated images directory
├── dist/                 # Compiled JavaScript
├── package.json
├── tsconfig.json
├── .env.example
└── README.md

Building

npm run build

Development with Watch Mode

npm run watch

Error Handling

The server includes comprehensive error handling:

• Missing API Key: Clear error message when OPENAI_API_KEY is not set

• API Errors: OpenAI API errors are caught and returned with details

• File System Errors: Issues with saving images are handled gracefully

• Invalid Parameters: Input validation with helpful error messages

Pricing

DALL-E 3 API pricing (as of 2025):

• Standard quality: $0.040 per image (1024×1024), $0.080 per image (1024×1792 or 1792×1024)

• HD quality: $0.080 per image (1024×1024), $0.120 per image (1024×1792 or 1792×1024)

License

MIT License

Contributing

1. Fork the repository

2. Create a feature branch

3. Make your changes

4. Add tests if applicable

5. Submit a pull request

Support

For issues and questions:

1. Check the error messages in the console

2. Verify your OpenAI API key is valid

3. Ensure you have sufficient API credits

4. Review the MCP client configuration

Changelog

v1.0.0

• Initial release with DALL-E 3 integration

• Support for all DALL-E 3 parameters

• Local file storage

• Error handling and logging

• TypeScript implementation