Azure Dalle MCP Server
Description
# 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`…
About
# 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…
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- Author
- jacwu
- GitHub stars
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- Generates images using Azure OpenAI DALL‑E 3.
- Configurable image size, quality, and style.
- Downloads generated images to local storage.
- Uses MCP protocol for integration with clients.
Set the required environment variables (AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, and optionally AZURE_OPENAI_DEPLOYMENT_NAME and OPENAI_API_VERSION), then install dependencies with npm install, build with npm run build, and configure your MCP client with the provided JSON block specifying the path to the built server.
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>"
}
}
}
}
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