Azure OpenAI DALL-E 3 MCP Server logo

Azure OpenAI DALL-E 3 MCP Server

by jacwu

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

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What is Azure OpenAI DALL-E 3 MCP Server?

This server is an integration layer that allows MCP (Model Context Protocol) clients to access the DALL-E 3 image generation capabilities of Azure OpenAI. It acts as a bridge, translating MCP requests into Azure OpenAI API calls and returning the generated images or download links.

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

  1. Set the required environment variables (AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, AZURE_OPENAI_DEPLOYMENT_NAME, OPENAI_API_VERSION). 2. Install dependencies using npm install. 3. Build the server using npm run build. 4. Configure your MCP client to point to the server's endpoint, providing the necessary environment variables.

Key features of Azure OpenAI DALL-E 3 MCP Server

  • Image generation using DALL-E 3

  • MCP compatibility

  • Configurable image size, quality, and style

  • Image download functionality

  • Easy integration with Azure OpenAI

Use cases of Azure OpenAI DALL-E 3 MCP Server

  • Integrating DALL-E 3 image generation into MCP-based applications

  • Automated image creation from text prompts

  • Generating images with specific styles and qualities

  • Creating visual content for various applications using AI

  • Building AI-powered creative tools

FAQ from Azure OpenAI DALL-E 3 MCP Server

What is the Model Context Protocol (MCP)?

MCP is a protocol for interacting with AI models in a standardized way.

What Azure OpenAI services are required?

You need an Azure OpenAI resource with a DALL-E 3 deployment.

How do I find my Azure OpenAI endpoint and API key?

These are available in the Azure portal under your OpenAI resource's 'Keys and Endpoint' section.

What image sizes are supported?

The server supports 1024x1024, 1792x1024, and 1024x1792 image sizes.

What image qualities are supported?

The server supports standard and hd image qualities.