@dfeirstein/image-server/dist/types/image.js

MCP server for creating, editing, and combining images with OpenAI models

import { z } from 'zod';
export const imageReqSchema = z.object({
    prompt: z.string().min(3)
        .describe("Detailed text description of the desired image."),
    styleDefinitionJSON: z.record(z.any()).optional()
        .describe("Optional JSON object defining visual style elements like tone, color palette, lighting, composition, etc. Used for consistent style across multiple images."),
    brandSignature: z.string().optional()
        .describe("Optional branding guidelines (e.g., 'palette:#...; font:...')"),
    size: z.enum(['1024x1024', '1024x1536', '1536x1024']).optional().default('1024x1024')
        .describe("Image dimensions (default: 1024x1024)."),
    // Added 'auto' based on documentation
    quality: z.enum(['low', 'medium', 'high', 'auto']).optional().default('medium')
        .describe("Image quality (default: medium). 'auto' lets the model choose."),
    background: z.enum(['transparent', 'opaque']).optional().default('opaque')
        .describe("Background type (default: opaque). 'transparent' requires PNG/WEBP format."),
    model: z.enum(['gpt-image-1', 'dall-e-3', 'dall-e-2']).optional().default('gpt-image-1')
        .describe("OpenAI model to use (default: gpt-image-1). Server may fallback to dall-e-3."),
    filename: z.string().optional()
        .describe("Suggested filename for the saved image (e.g., 'logo.png'). Include extension."),
    outputPath: z.string().optional()
        .describe("Subdirectory within the target project's public folder to save the image (e.g., 'icons')."),
    targetProjectDir: z.string().optional()
        .describe("Absolute path to the target project directory where the image should be saved."),
    referenceImagePaths: z.array(z.string()).optional()
        .describe("Optional array of image paths (relative to targetProjectDir's public folder) to use as references for editing or combining images."),
});