ideogram-mcp-server
Version:
A FastMCP server for the Ideogram AI API.
91 lines (80 loc) • 4.03 kB
text/typescript
/**
* Generate Tool
* Image generation tool implementation using FastMCP framework
*/
import { z } from 'zod';
import { IdeogramApiClient } from '../utils/api-client.js';
import { ImageGenerationResponse } from '../types/index.js';
const generateSchema = z.object({
prompt: z.string().min(1, 'Prompt is required'),
aspect_ratio: z.enum(['ASPECT_1_1', 'ASPECT_16_9', 'ASPECT_9_16', 'ASPECT_4_3', 'ASPECT_3_4']).optional(),
model: z.enum(['V_1', 'V_2', 'V_2_TURBO']).optional(),
magic_prompt_option: z.enum(['AUTO', 'ON', 'OFF']).optional(),
seed: z.number().int().min(0).max(2147483647).optional(),
style_type: z.enum(['AUTO', 'GENERAL', 'REALISTIC', 'DESIGN', 'RENDER_3D', 'ANIME']).optional(),
num_images: z.number().int().min(1).max(8).optional()
});
export function createGenerateTool(apiClient: IdeogramApiClient) {
return {
name: 'generate',
description: 'Generate images using Ideogram AI with customizable parameters',
parameters: {
type: 'object',
properties: {
prompt: { type: 'string', description: 'Text prompt for image generation' },
aspect_ratio: { type: 'string', enum: ['ASPECT_1_1', 'ASPECT_16_9', 'ASPECT_9_16', 'ASPECT_4_3', 'ASPECT_3_4'], description: 'Image aspect ratio' },
model: { type: 'string', enum: ['V_1', 'V_2', 'V_2_TURBO'], description: 'Model version to use' },
magic_prompt_option: { type: 'string', enum: ['AUTO', 'ON', 'OFF'], description: 'Magic prompt enhancement' },
seed: { type: 'number', minimum: 0, maximum: 2147483647, description: 'Random seed for reproducibility' },
style_type: { type: 'string', enum: ['AUTO', 'GENERAL', 'REALISTIC', 'DESIGN', 'RENDER_3D', 'ANIME'], description: 'Style type' },
num_images: { type: 'number', minimum: 1, maximum: 8, description: 'Number of images to generate' }
},
required: ['prompt']
} as const,
execute: async (args: unknown): Promise<string> => {
const validatedArgs = generateSchema.parse(args);
try {
// Prepare request payload
const payload = {
image_request: {
prompt: validatedArgs.prompt,
aspect_ratio: validatedArgs.aspect_ratio || 'ASPECT_1_1',
model: validatedArgs.model || 'V_2',
magic_prompt_option: validatedArgs.magic_prompt_option || 'AUTO',
seed: validatedArgs.seed,
style_type: validatedArgs.style_type,
num_images: validatedArgs.num_images || 1
}
};
// Make API request
const response = await apiClient.post<ImageGenerationResponse>('/ideogram-v3/generate', payload);
if (!response.success) {
return `❌ Generation failed: ${response.error}`;
}
if (!response.data?.data || response.data.data.length === 0) {
return '❌ No images were generated. Please try again with different parameters.';
}
// Format response with image URLs highlighted
let result = `✅ Successfully generated ${response.data.data.length} image(s):\n\n`;
response.data.data.forEach((image, index) => {
result += `**Image ${index + 1}:**\n`;
result += `🖼️ **URL**: ${image.url}\n`;
if (image.is_image_safe === false) {
result += `⚠️ **Safety**: Content flagged as potentially unsafe\n`;
}
result += `📏 **Resolution**: Based on ${validatedArgs.aspect_ratio || 'ASPECT_1_1'}\n`;
result += `🎨 **Model**: ${validatedArgs.model || 'V_2'}\n`;
if (validatedArgs.seed) {
result += `🌱 **Seed**: ${validatedArgs.seed}\n`;
}
result += '\n';
});
result += `💡 **Tip**: Use the download_images tool to save these images locally.`;
return result;
} catch (error) {
return `❌ Unexpected error: ${error instanceof Error ? error.message : 'Unknown error occurred'}`;
}
}
};
}
export { generateSchema };