Generate Images with Azure OpenAI DALL-E 3
Generate and download DALL-E 3 images through Azure OpenAI, with configurable size, quality, and style, directly from your AI assistant.
Why it matters
Integrate Azure OpenAI's DALL-E 3 image generation capabilities into your applications via the Model Context Protocol (MCP). This asset bridges your MCP clients with powerful text-to-image creation, allowing for customizable image generation and local storage.
Outcomes
What it gets done
Connect to Azure OpenAI DALL-E 3 via MCP
Generate images from text prompts with customizable size, quality, and style
Download generated images to local storage
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-azure-openai-dall-e-3-mcp-server | bash Capabilities
Tools your agent gets
Generates images using Azure OpenAI DALL-E 3 with customizable size, quality, and style parameters
Downloads generated images to local storage with a specified filename and directory path
Overview
Azure OpenAI DALL-E 3 MCP Server
An MCP server that connects AI assistants to an Azure OpenAI DALL-E 3 deployment for text-to-image generation, with configurable size/quality/style and local image download. Reach for this when you already have an Azure OpenAI DALL-E 3 deployment and want an AI assistant to generate and save images conversationally.
What it does
This MCP server bridges Azure OpenAI's DALL-E 3 image generation to MCP clients, enabling text-to-image creation through the Model Context Protocol. It provides generate_image to create images with customizable size (1024x1024, 1792x1024, or 1024x1792), quality (standard or hd), and style (vivid or natural) parameters, and download_image to save generated images to local storage with a specified filename and directory path.
npm install
npm run build
When to use - and when NOT to
Use this when you want an AI assistant to generate images from text prompts via your own Azure OpenAI DALL-E 3 deployment and save them locally, with control over image dimensions, quality, and style.
Do NOT use this without an Azure OpenAI resource with a DALL-E 3 deployment already provisioned - the server requires AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY to connect, plus the server must be built from source with npm before use (no prebuilt package is provided).
Inputs and outputs
Inputs are a text prompt plus optional size, quality, and style parameters; outputs are generated DALL-E 3 images, which can then be downloaded to a specified local path and filename.
Key tools: generate_image(prompt, size, quality, style), download_image(filename, directory_path).
Integrations
Azure OpenAI (DALL-E 3 deployment), configured via AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, and optionally AZURE_OPENAI_DEPLOYMENT_NAME (default dalle3) and OPENAI_API_VERSION (default 2024-02-15-preview).
Who it's for
Developers with an existing Azure OpenAI DALL-E 3 deployment who want an AI assistant to generate and save images conversationally instead of using the Azure OpenAI Studio directly.
Source README
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 generatesize(optional): Image dimensions (default: 1024x1024). Available options:1024x10241792x10241024x1792
quality(optional): Image quality (default: hd). Available options:standardhd
style(optional): Image style (default: natural). Available options:vividnatural
download_image
Downloads generated images to local storage:
imageUrl(required): URL of the image to downloadlocalPath(required): Local directory path for savingfileName(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
- Install dependencies:
npm install
- 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>"
}
}
}
}
FAQ
Common questions
Discussion
Questions & comments · 0
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