AiGeekSquad.ImageGenerator.Core 1.0.70

AiGeekSquad.ImageGenerator

A .NET MCP (Model Context Protocol) tool for AI-powered image generation using various providers including OpenAI (DALL-E, GPT Image models) and Google (Imagen).

Features

• 🎨 Multiple Providers: Support for OpenAI and Google AI platforms
• 🔧 Extensible Architecture: Easily add custom image generation providers
• 🎯 Latest Models: Support for DALL-E 3, GPT Image 1, GPT-5 Image (future), and Imagen 3
• 🔄 Response API: Iterative image manipulation with edits and variations
• 🛠️ MCP Integration: Works seamlessly with MCP-compatible AI assistants
• ⚡ Modern C#: Built with .NET 9.0 and latest C# features
• ✅ Well Tested: Comprehensive test coverage using xUnit
• 📦 NuGet Package: Easy installation as a global .NET tool

Supported Operations

Generate Images

Create images from text prompts using various AI models.

Edit Images

Modify existing images based on text descriptions (OpenAI DALL-E 2).

Create Variations

Generate variations of existing images (OpenAI DALL-E 2).

List Providers

Get information about available providers and their capabilities.

Supported Models

OpenAI

• dall-e-3 - Latest high-quality image generation
• dall-e-2 - Previous generation (supports edits and variations)
• gpt-image-1 - New GPT-based image generation
• gpt-5-image - Future GPT-5 image capabilities (placeholder)

Google

• imagen-3.0-generate-001 - Latest Imagen model
• imagen-3.0-fast-generate-001 - Optimized for speed
• imagegeneration@006 - Imagen 2

Installation

As a Global .NET Tool (Recommended)

dotnet tool install --global AiGeekSquad.ImageGenerator

Update Existing Installation

dotnet tool update --global AiGeekSquad.ImageGenerator

From Source

git clone https://github.com/AIGeekSquad/image-generator.git
cd image-generator
dotnet pack src/AiGeekSquad.ImageGenerator.Tool/AiGeekSquad.ImageGenerator.Tool.csproj --configuration Release
dotnet tool install --global --add-source ./nupkg AiGeekSquad.ImageGenerator

Configuration

Environment Variables

# OpenAI (required for OpenAI provider)
export OPENAI_API_KEY="your-openai-api-key"

# Optional: Azure OpenAI
export OPENAI_ENDPOINT="https://your-resource.openai.azure.com"

# Google (optional)
export GOOGLE_PROJECT_ID="your-google-cloud-project-id"

appsettings.json

Alternatively, create an appsettings.json file in the tool's directory:

{
  "OpenAI": {
    "ApiKey": "your-openai-api-key",
    "Endpoint": "",
    "DefaultModel": "dall-e-3"
  },
  "Google": {
    "ProjectId": "your-google-cloud-project-id",
    "Location": "us-central1",
    "DefaultModel": "imagen-3.0-generate-001"
  }
}

Usage

As an MCP Server

Add to your MCP configuration (e.g., in GitHub Copilot or Claude Desktop):

{
  "mcpServers": {
    "image-generator": {
      "command": "aigeeksquad-imagegen",
      "args": [],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}

Command Line

After installation, run the tool:

aigeeksquad-imagegen

The tool starts an MCP server that communicates via stdio.

MCP Tools

generate_image

Generate an image from a text prompt.

Parameters:

• prompt (required): Text description of the image
• provider: Provider to use (default: "OpenAI")
• model: Model to use (e.g., "dall-e-3", "gpt-image-1")
• size: Image size (e.g., "1024x1024", "1792x1024")
• quality: Image quality ("standard" or "hd")
• style: Image style ("vivid" or "natural")
• numberOfImages: Number of images to generate (default: 1)

edit_image

Edit an existing image based on a prompt.

Parameters:

• image (required): Base64 encoded image or URL
• prompt (required): Description of desired changes
• mask: Optional mask image
• provider: Provider to use (default: "OpenAI")
• model: Model to use (default: "dall-e-2")
• size: Output image size
• numberOfImages: Number of images to generate (default: 1)

create_variation

Create variations of an existing image.

Parameters:

• image (required): Base64 encoded image or URL
• provider: Provider to use (default: "OpenAI")
• model: Model to use (default: "dall-e-2")
• size: Output image size
• numberOfImages: Number of variations (default: 1)

list_providers

List all available providers and their capabilities.

Architecture

Core Components

• AiGeekSquad.ImageGenerator.Core: Core library with abstractions and provider implementations

  • IImageGenerationProvider: Interface for image generation providers
  • IImageGenerationService: Service for managing multiple providers
  • ImageProviderBase: Base class for easy provider implementation
  • ProviderCapabilities: Metadata about provider capabilities

• AiGeekSquad.ImageGenerator.Tool: MCP server implementation

  • ImageGenerationTools: MCP tool implementations
  • Program.cs: Server configuration and startup

• AiGeekSquad.ImageGenerator.Tests: Comprehensive test suite using xUnit

Extensibility

Adding a new provider is straightforward:

1. Create a class that inherits from ImageProviderBase
2. Implement the required abstract members
3. Register the provider in Program.cs

Example:

public class CustomImageProvider : ImageProviderBase
{
    public override string ProviderName => "Custom";
    
    protected override ProviderCapabilities Capabilities { get; } = new()
    {
        ExampleModels = new List<string> { "custom-model-1" },
        SupportedOperations = new List<ImageOperation> { ImageOperation.Generate },
        DefaultModel = "custom-model-1",
        AcceptsCustomModels = true
    };

    public override async Task<ImageGenerationResponse> GenerateImageAsync(
        ImageGenerationRequest request,
        CancellationToken cancellationToken = default)
    {
        // Implementation
    }
}

Development

Build

dotnet build

Test

dotnet test

Run Locally

cd src/AiGeekSquad.ImageGenerator.Tool
dotnet run

Requirements

• .NET 9.0 SDK or later
• OpenAI API key (for OpenAI provider)
• Google Cloud project with Vertex AI enabled (for Google provider, optional)

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues.

Acknowledgments

• Built with ModelContextProtocol SDK
• Uses Microsoft.Extensions.AI
• Integrates with Azure OpenAI SDK
• Integrates with Google Cloud AI Platform