AI Image through MCP
AI Image uses image. MCP exposes model settings as flat kp_create_creation arguments rather than the OpenAPI image_generation object.
Always call kp_get_catalog before choosing a model or ratio.
Nano Banana 2
{ "type": "image", "prompt": "A clean course cover about binary search in a dark vector style", "aspect_ratio": "16:9", "output_quality": "2K", "image_provider": "gemini", "image_model": "nano-banana-2"}GPT Image 2
{ "type": "image", "prompt": "A precise binary search poster for a developer course", "aspect_ratio": "3:2", "output_quality": "2K", "image_provider": "azure_openai", "image_model": "gpt-image-2", "image_quality": "medium"}image_quality is the model-native low / medium / high setting. It is separate from the top-level final output specification output_quality.