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Azure Image Generation MCP

by malikmalikayesha
GitHub
JavaScript
MIT License
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Azure Image Generation MCP

Model Context Protocol (MCP) server for AI-powered image generation using Azure DALL-E 3 and FLUX models

License: MIT Node.js Version

🎨 Overview

A powerful MCP server that brings professional AI image generation to LibreChat. Generate stunning images using Azure's DALL-E 3 for photorealistic content or FLUX for creative artwork, with intelligent automatic model selection based on your prompts.

Perfect for LibreChat users who want seamless image generation capabilities powered by Azure AI Foundry models.

✨ Features

  • 🤖 Dual Model Support

    • DALL-E 3: Photorealistic images, portraits, and artistic content

    • FLUX (FLUX.1-Kontext-pro): Creative illustrations and flexible generation

  • 🧠 Intelligent Model Selection

    • Automatic model selection based on prompt analysis

    • FLUX as default for optimal results

    • DALL-E 3 when explicitly requested or optimal

  • 📐 Multiple Image Sizes

    • Square (1024x1024) - Perfect for social media

    • Wide (1792x1024) - Great for banners and headers

    • Tall (1024x1792) - Ideal for posters and vertical content

  • ⚙️ Customization Options

    • Quality settings (standard/HD) for DALL-E 3

    • Style options (vivid/natural) for DALL-E 3

    • Fast generation times (typically 30-60 seconds)

  • 🔌 Easy Integration

    • Works seamlessly with LibreChat

    • Compatible with MCP clients

    • Simple configuration via environment variables

📋 Prerequisites

  • Node.js >= 18.0.0

  • Azure OpenAI API access with:

    • DALL-E 3 deployment (optional)

    • FLUX deployment (FLUX.1-Kontext-pro)

  • LibreChat instance (for LibreChat integration)

🚀 Installation

Option 1: NPM Installation (Recommended)

npm install -g azure-image-generation-mcp

Option 2: From Source

git clone https://github.com/malikmalikayesha/azure-image-generation-mcp.git cd azure-image-generation-mcp npm install

Option 3: NPX (No Installation)

npx azure-image-generation-mcp

⚙️ Configuration

1. Environment Variables

Create a .env file or set environment variables:

AZURE_IMAGE_API_KEY=your_azure_api_key_here AZURE_IMAGE_BASE_URL=https://your-endpoint.cognitiveservices.azure.com/openai/deployments

2. LibreChat Integration

Add to your librechat.yaml:

mcpServers: "Image Generation": type: stdio command: node args: - /path/to/azure-image-generation-server.js name: "Image Generation" displayName: "Image Generation" timeout: 180000 # 3 minutes for generation initTimeout: 60000 # 1 minute startup chatMenu: true # Show in chat tools serverInstructions: | 🎨 AI Image Generation Tool Create stunning images using DALL-E 3 or FLUX models. Simply describe what you want to see! env: AZURE_IMAGE_API_KEY: "${AZURE_IMAGE_API_KEY}" AZURE_IMAGE_BASE_URL: "${AZURE_IMAGE_BASE_URL}"

📖 Usage

In LibreChat

Simply ask the AI to generate an image:

"Generate an image of a serene mountain landscape at sunset" "Create a modern minimalist logo for a tech startup" "Draw a realistic portrait of a confident businesswoman" "Make an abstract pattern with geometric shapes"

Model Selection

  • Automatic (Default): The system intelligently chooses between DALL-E 3 and FLUX

  • FLUX (Default): Used for most requests unless DALL-E is explicitly mentioned

  • DALL-E 3: Explicitly request by mentioning "DALL-E" in your prompt

Advanced Options

Specify additional parameters in your request:

"Generate a wide landscape image in HD quality using DALL-E" Size: 1792x1024, Quality: HD, Model: DALL-E 3 "Create a tall poster with vivid colors" Size: 1024x1792, Style: vivid

🔧 Docker Deployment (LibreChat)

If using Docker with LibreChat, add to your Dockerfile:

# Install MCP SDK dependencies RUN npm install @modelcontextprotocol/sdk@^1.17.2 # Copy Azure image generation files COPY azure-image-generation-server.js ./

Then ensure your docker-compose.yml includes the environment variables:

services: api: environment: - AZURE_IMAGE_API_KEY=${AZURE_IMAGE_API_KEY} - AZURE_IMAGE_BASE_URL=${AZURE_IMAGE_BASE_URL}

🛠️ API Reference

Tool: generate_image

Generates an AI image based on a text prompt.

Parameters

Parameter

Type

Required

Default

Description

prompt

string

Yes

-

Description of the image to generate

model

string

No

auto

Model selection:

dall-e-3

,

flux

, or

auto

size

string

No

1024x1024

Image dimensions:

1024x1024

,

1792x1024

,

1024x1792

style

string

No

vivid

DALL-E style:

vivid

or

natural

quality

string

No

standard

DALL-E quality:

standard

or

hd

Response

Returns a structured response with:

  • Text description of the generated image

  • Base64-encoded PNG image data

  • Metadata (model used, size, generation time)

🐛 Troubleshooting

Common Issues

Images not displaying in Azure models:

  • Ensure you're using LibreChat with the MCP image rendering fix (included in LibreChat v0.7.9+)

  • Check that your librechat.yaml configuration is correct

MCP server fails to start:

  • Verify environment variables are set correctly

  • Check that Node.js version is >= 18.0.0

  • Ensure @modelcontextprotocol/sdk is installed

API errors:

  • Verify your Azure API key is valid

  • Check that the base URL points to your Azure OpenAI endpoint

  • Ensure your Azure deployment has DALL-E 3 or FLUX enabled

Generation timeout:

  • Increase timeout value in librechat.yaml (default: 180000ms)

  • Check your network connectivity to Azure

Debug Mode

Enable debug logging by checking LibreChat logs:

# Docker docker logs librechat-api # Local DEBUG=* npm start

📝 Example Prompts

Photorealistic Images

"A professional headshot of a software engineer in a modern office" "Sunset over Tokyo skyline with Mount Fuji in the distance" "Close-up of fresh vegetables on a wooden cutting board"

Artistic & Creative

"Minimalist logo design for a coffee shop called 'Bean Dreams'" "Watercolor painting of a cottage in a flower garden" "Abstract geometric pattern in blues and golds"

Marketing & Design

"Modern tech startup hero banner image, wide format" "Instagram post background with pastel gradients" "Professional LinkedIn banner for a data scientist"

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/AmazingFeature)

  3. Commit your changes (git commit -m 'Add some AmazingFeature')

  4. Push to the branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

📬 Support

Made with ❤️ for the LibreChat community

Deploy Server
-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Enables AI-powered image generation using Azure DALL-E 3 and FLUX models with intelligent automatic model selection. Generates stunning photorealistic or creative images directly within LibreChat through simple text prompts.

  1. 🎨 Overview
    1. ✨ Features
      1. 📋 Prerequisites
        1. 🚀 Installation
          1. Option 1: NPM Installation (Recommended)
          2. Option 2: From Source
          3. Option 3: NPX (No Installation)
        2. ⚙️ Configuration
          1. 1. Environment Variables
          2. 2. LibreChat Integration
        3. 📖 Usage
          1. In LibreChat
          2. Model Selection
          3. Advanced Options
        4. 🔧 Docker Deployment (LibreChat)
          1. 🛠️ API Reference
            1. Tool: generate_image
          2. 🐛 Troubleshooting
            1. Common Issues
            2. Debug Mode
          3. 📝 Example Prompts
            1. Photorealistic Images
            2. Artistic & Creative
            3. Marketing & Design
          4. 🤝 Contributing
            1. 📄 License
              1. 🙏 Acknowledgments
                1. 📬 Support

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