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AOAI Dalle3 MCP Server

@jacwu

Repository

Basic information

Category

Other

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stdio

Author

jacwu

About AOAI Dalle3 MCP Server

No overview available yet

#mcp-server#dalle3#azure-openai

AOAI Dalle3 MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "dalle3": {
      "command": "node",
      "args": [
        "./build/index.js"
      ],
      "env": {
        "AZURE_OPENAI_ENDPOINT": "",
        "AZURE_OPENAI_API_KEY": "",
        "AZURE_OPENAI_DEPLOYMENT_NAME": ""
      }
    }
  }
}

AOAI Dalle3 MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AOAI Dalle3 MCP Server?

An Azure OpenAI DALL-E integration server implementing the Model Context Protocol (MCP). It bridges Azure OpenAI's DALL-E 3 image generation capabilities with MCP-compatible clients.

How to use AOAI Dalle3 MCP Server?

Clone the repository, run npm install and npm run build. Set the required environment variables (AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY) and optional ones. Configure an MCP client with the node ./build/index.js command and those environment variables. Then invoke the generate_image and download_image tools.

Key features of AOAI Dalle3 MCP Server?

  • Generate DALL-E 3 images via MCP tool
  • Customizable size: 1024x1024, 1792x1024, 1024x1792
  • Quality selection: standard or hd
  • Style options: vivid or natural
  • Download generated images to local storage

Use cases of AOAI Dalle3 MCP Server?

  • Generate custom images from text prompts in MCP clients
  • Download generated images to local storage for further use
  • Integrate Azure OpenAI DALL-E 3 into AI assistants and workflows

Frequently asked questions

1

What environment variables are required?

`AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_API_KEY` are required. `AZURE_OPENAI_DEPLOYMENT_NAME` and `OPENAI

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