MCP Image Generation Server
Listed on its own since 2026-09-25. Until then it was part of appkit-mcp-bpmn, where its earlier checks remain.
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# Image Generation MCP Server A FastMCP server for generating and editing images using OpenAI's **gpt-image-1** and Azure **FLUX.1-Kontext-pro** models. This component is part of the **AppKit** platform and is designed to be integrated into the main application. ## Features - **Text-to-Image Generation**: Create images from natural language prompts using multiple AI models - **Image Editing & Inpainting**: Edit existing images with text prompts and optional masks (gpt-image-1) - **Multiple Formats**: Output as PNG, JPEG, or WEBP with customizable quality - **Prompt Enhancement**: Auto-refine prompts via LLM for better results ## Configuration This component uses `AppKit`'s configuration system (`appkit_commons`) and is configured via `MCPImageGeneratorConfig`. The settings are loaded from `configuration/config.yaml` or environment variables mapped by `appkit_commons`. ### Settings | Setting | Description | Default | | :--- | :--- | :--- | | `backend_server` | URL of the backend server (for retrieving images) | `http://localhost:8000` | | `max_file_size_mb` | Maximum allowed file size for input images | `10` | | `max_images_to_keep` | Storage retention limit for generated images | `50` | | `generator` | Active image generator backend (`azure` or `google`) | `azure` | | `azure_api_key` | Azure OpenAI API key | `None` | | `azure_base_url` | Azure OpenAI endpoint URL | `None` | | `azure_prompt_optimizer` | LLM model used for prompt enhancement (Azure) | `gpt-5-mini` | | `azure_image_model` | Image generation model identifier (Azure) | `FLUX.1-Kontext-pro` | | `google_api_key` | Google AI API key | `None` | | `google_prompt_optimizer` | LLM model used for prompt enhancement (Google) | `gemini-2.0-flash-001` | | `google_image_model` | Image generation model identifier (Google) | `imagen-4.0-generate-preview-06-06` | | `auth_tokens` | List of MCP tokens and scopes for authentication | `[]` | ## Integration This module is designed to be integrated into the main `A…
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