Azure OpenAI DALL-E 3 MCP Server

An Azure OpenAI DALL-E 3 integration server implementing the Model Context Protocol (MCP). This server provides a bridge between Azure OpenAI's DALL-E 3 image generation capability and MCP clients.

Available Tools

generate_image

Generates images using AOAI DALL-E 3 with the following parameters:

• prompt (required): Text description of the image to generate
• • size (optional): Image dimensions (default: 1024x1024). Available options:
  • 1024x1024
  • 1792x1024
  • 1024x1792
• quality (optional): Image quality (default: hd). Available options:
  • standard
  • hd
• style (optional): Image style (default: natural). Available options:
  • vivid
  • natural

download_image

Downloads generated images to local storage:

• imageUrl (required): URL of the image to download
• localPath (required): Local directory path for saving
• fileName (required): Name for the downloaded file

Environment Variables

The following environment variables must be set to configure the server:

• AZURE_OPENAI_ENDPOINT: The endpoint URL for your Azure OpenAI resource. You can find this in the Azure portal under your OpenAI resource's "Keys and Endpoint" section.
• AZURE_OPENAI_API_KEY: The API key for your Azure OpenAI resource. This is also available in the "Keys and Endpoint" section.
• AZURE_OPENAI_DEPLOYMENT_NAME (optional, default: "dalle3"): The name of the DALL-E 3 deployment in your Azure OpenAI resource.
• OPENAI_API_VERSION (optional, default: "2024-02-15-preview"): The API version to use. Ensure this matches the version supported by your Azure OpenAI resource.

Build

1. Install dependencies:

npm install

1. Build the server:

npm run build

MCP Client Configuration

{
  "mcpServers": {
    "dalle3": {
      "command": "node",
      "args": [
        "path/to/mcp-server-aoai-dalle3/build/index.js"
      ],
      "env": {
        "AZURE_OPENAI_ENDPOINT": "<endpoint>",
        "AZURE_OPENAI_API_KEY": "<key>",
        "AZURE_OPENAI_DEPLOYMENT_NAME": "<deployment>"
      }
    }
  }
}