Azure OpenAI DALL-E 3 MCP Server

What is Azure OpenAI DALL-E 3 MCP Server?

This project is an MCP (Model Context Protocol) server that integrates with Azure OpenAI's DALL-E 3 service. It allows MCP clients to leverage DALL-E 3's image generation capabilities through a standardized protocol.

How to use Azure OpenAI DALL-E 3 MCP Server?

To use this server, you need to set up several environment variables: AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, and optionally AZURE_OPENAI_DEPLOYMENT_NAME and OPENAI_API_VERSION. After setting these, you can build the server using npm install and npm run build. Finally, configure your MCP client to point to the built server, providing the necessary environment variables.

Key Features of Azure OpenAI DALL-E 3 MCP Server

• Image Generation: Utilizes Azure OpenAI DALL-E 3 to generate images from text prompts.
• Customizable Image Parameters: Supports specifying image size, quality (standard/hd), and style (vivid/natural).
• Image Download: Provides a download_image tool to save generated images to local storage.
• MCP Integration: Implements the Model Context Protocol for seamless interaction with MCP clients.

Use Cases of Azure OpenAI DALL-E 3 MCP Server

• Application Development: Developers can integrate DALL-E 3 image generation into their applications using the MCP.
• Content Creation: Automate the creation of visual content based on textual descriptions.
• Prototyping: Quickly generate image assets for design mockups and prototypes.

FAQ from Azure OpenAI DALL-E 3 MCP Server

Q: What are the required environment variables? A: AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY are mandatory. AZURE_OPENAI_DEPLOYMENT_NAME and OPENAI_API_VERSION are optional.

Q: What image sizes are supported? A: 1024x1024, 1792x1024, and 1024x1792.

Q: Can I choose the quality and style of the generated images? A: Yes, you can select standard or hd quality, and vivid or natural style.

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

2. 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>"
      }
    }
  }
}