Mcp Server Aoai Dalle3

Mcp Server Aoai Dalle3

What is Mcp Server Aoai Dalle3 about?

Mcp Server Aoai Dalle3 implements the Model Context Protocol (MCP) to expose Azure OpenAI's DALL‑E 3 image generation as a server‑side service. It offers two core tools—generate_image for creating images from prompts and download_image for retrieving the generated files locally.

How to use Mcp Server Aoai Dalle3?

1. Set environment variables:
   • AZURE_OPENAI_ENDPOINT
   • AZURE_OPENAI_API_KEY
   • Optional: AZURE_OPENAI_DEPLOYMENT_NAME (default: "dalle3")
   • Optional: OPENAI_API_VERSION (default: "2024-02-15-preview")
2. Install dependencies: npm install
3. Build the server: npm run build
4. Run the server (example 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>"
      }
    }
  }
}

5. Invoke tools via an MCP client, supplying the required parameters.

Key features of Mcp Server Aoai Dalle3

• Generate Image: Supports prompt, size (1024x1024, 1792x1024, 1024x1792), quality (standard, hd), and style (vivid, natural).
• Download Image: Saves generated images to a specified local path with custom filenames.
• Configurable Deployment: Allows custom Azure OpenAI deployment names and API versions.
• MCP Compatibility: Seamlessly integrates with any MCP‑compliant client.

Use cases of Mcp Server Aoai Dalle3

• Creative content creation: Generate illustrations, concept art, or marketing visuals on‑demand.
• Rapid prototyping: Produce design mockups directly from textual descriptions.
• Automation pipelines: Embed image generation into CI/CD or data‑flow processes using MCP.
• Educational tools: Provide students with visual examples generated from prompts.

FAQ from the Mcp Server Aoai Dalle3

Q: Which Azure region is required? A: Any region where Azure OpenAI with DALL‑E 3 is available; ensure the endpoint matches the region.

Q: What are the default image parameters? A: Size 1024x1024, quality hd, style natural.

Q: How many images can be generated per request? A: The server follows Azure OpenAI limits; typically one image per request for DALL‑E 3.

Q: Do I need to install the server globally? A: No. Clone the repository, run npm install and npm run build locally.

Q: Can I change the default deployment name? A: Yes, set AZURE_OPENAI_DEPLOYMENT_NAME to your custom deployment identifier.

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>"
      }
    }
  }
}