#!/usr/bin/env node
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
import { fal } from "@fal-ai/client";
import { writeFile } from "fs/promises";
import * as fs from 'fs';
import * as path from 'path';
import * as https from 'https';
import * as http from 'http';
// Check for required environment variable
const FAL_KEY = process.env.FAL_KEY;
let falConfigured = false;
if (!FAL_KEY) {
console.error('FAL_KEY environment variable is required');
console.error('Please set your fal.ai API key: export FAL_KEY=your_api_key_here');
// Server continues running, no process.exit()
} else {
// Configure fal.ai client
fal.config({
credentials: FAL_KEY
});
falConfigured = true;
}
// Define types based on fal-ai/minimax/image-01 API documentation
interface MinimaxImageResult {
images: Array<{
url: string;
content_type: string;
file_name: string;
file_size: number;
}>;
}
// MiniMax aspect ratio enum
type AspectRatioEnum =
| "1:1"
| "16:9"
| "4:3"
| "3:2"
| "2:3"
| "3:4"
| "9:16"
| "21:9";
// Download image function
async function downloadImage(url: string, filename: string): Promise<string> {
return new Promise((resolve, reject) => {
try {
const parsedUrl = new URL(url);
const client = parsedUrl.protocol === 'https:' ? https : http;
// Create images directory if it doesn't exist
const imagesDir = path.join(process.cwd(), 'images');
if (!fs.existsSync(imagesDir)) {
fs.mkdirSync(imagesDir, { recursive: true });
}
const filePath = path.join(imagesDir, filename);
const file = fs.createWriteStream(filePath);
client.get(url, (response) => {
if (response.statusCode !== 200) {
reject(new Error(`Failed to download image: HTTP ${response.statusCode}`));
return;
}
response.pipe(file);
file.on('finish', () => {
file.close();
resolve(filePath);
});
file.on('error', (err) => {
fs.unlink(filePath, () => {}); // Delete partial file
reject(err);
});
}).on('error', (err) => {
reject(err);
});
} catch (error) {
reject(error);
}
});
}
// Generate safe filename for images
function generateImageFilename(prompt: string, index: number): string {
const safePrompt = prompt
.toLowerCase()
.replace(/[^a-z0-9\s]/g, '')
.replace(/\s+/g, '_')
.substring(0, 50);
const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
return `minimax_${safePrompt}_${index}_${timestamp}.png`;
}
// Create MCP server
const server = new McpServer({
name: "fal-minimax-server",
version: "1.0.0",
});
// Tool: Generate images with fal-ai/minimax/image-01
server.tool(
"minimax_generate",
{
description: "Generate high-quality images using fal-ai/minimax/image-01 - MiniMax (Hailuo AI) Text to Image model with superior capabilities",
inputSchema: {
type: "object",
properties: {
prompt: {
type: "string",
description: "Text prompt for image generation (max 1500 characters). Longer text prompts will result in better quality images.",
maxLength: 1500
},
aspect_ratio: {
type: "string",
enum: ["1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"],
description: "Aspect ratio of the generated image",
default: "1:1"
},
num_images: {
type: "integer",
description: "Number of images to generate (1-9)",
default: 1,
minimum: 1,
maximum: 9
},
prompt_optimizer: {
type: "boolean",
description: "Whether to enable automatic prompt optimization",
default: false
}
},
required: ["prompt"]
}
},
async (args: any) => {
// Check if fal.ai client is configured
if (!falConfigured) {
return {
content: [{
type: "text",
text: "Error: FAL_KEY environment variable is not set. Please configure your fal.ai API key."
}],
isError: true
};
}
const {
prompt,
aspect_ratio = "1:1",
num_images = 1,
prompt_optimizer = false
} = args;
try {
// Prepare input for fal.ai API
const input: any = {
prompt,
aspect_ratio,
num_images,
prompt_optimizer
};
console.error(`Generating image with fal-ai/minimax/image-01 - prompt: "${prompt}"`);
// Call fal.ai minimax/image-01 API
const result = await fal.subscribe("fal-ai/minimax/image-01", {
input,
logs: true,
onQueueUpdate: (update: any) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log: any) => log.message).forEach(console.error);
}
},
});
const output = result.data as MinimaxImageResult;
// Download images locally
console.error("Downloading images locally...");
const downloadedImages = [];
for (let i = 0; i < output.images.length; i++) {
const image = output.images[i];
const filename = generateImageFilename(prompt, i + 1);
try {
const localPath = await downloadImage(image.url, filename);
downloadedImages.push({
url: image.url,
localPath,
index: i + 1,
content_type: image.content_type,
file_name: image.file_name,
file_size: image.file_size,
filename
});
console.error(`Downloaded: ${filename}`);
} catch (downloadError) {
console.error(`Failed to download image ${i + 1}:`, downloadError);
// Still add the image info without local path
downloadedImages.push({
url: image.url,
localPath: null,
index: i + 1,
content_type: image.content_type,
file_name: image.file_name,
file_size: image.file_size,
filename
});
}
}
// Format response with download information
const imageDetails = downloadedImages.map(img => {
let details = `Image ${img.index}:`;
if (img.localPath) {
details += `\n Local Path: ${img.localPath}`;
}
details += `\n Original URL: ${img.url}`;
details += `\n Filename: ${img.filename}`;
details += `\n Content Type: ${img.content_type}`;
details += `\n File Size: ${img.file_size} bytes`;
return details;
}).join('\n\n');
const responseText = `Successfully generated ${downloadedImages.length} image(s) using fal-ai/minimax/image-01:
Prompt: "${prompt}"
Aspect Ratio: ${aspect_ratio}
Number of Images: ${num_images}
Prompt Optimizer: ${prompt_optimizer ? 'Enabled' : 'Disabled'}
Request ID: ${result.requestId}
Generated Images:
${imageDetails}
${downloadedImages.some(img => img.localPath) ? 'Images have been downloaded to the local \'images\' directory.' : 'Note: Local download failed, but original URLs are available.'}`;
return {
content: [
{
type: "text",
text: responseText
}
]
};
} catch (error) {
console.error('Error generating image:', error);
let errorMessage = "Failed to generate image with fal-ai/minimax/image-01.";
if (error instanceof Error) {
errorMessage += ` Error: ${error.message}`;
}
return {
content: [
{
type: "text",
text: errorMessage
}
],
isError: true
};
}
}
);
// Tool: Generate images using queue method
server.tool(
"minimax_generate_queue",
{
description: "Submit a long-running image generation request to the queue using fal-ai/minimax/image-01",
inputSchema: {
type: "object",
properties: {
prompt: {
type: "string",
description: "Text prompt for image generation (max 1500 characters). Longer text prompts will result in better quality images.",
maxLength: 1500
},
aspect_ratio: {
type: "string",
enum: ["1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"],
description: "Aspect ratio of the generated image",
default: "1:1"
},
num_images: {
type: "integer",
description: "Number of images to generate (1-9)",
default: 1,
minimum: 1,
maximum: 9
},
prompt_optimizer: {
type: "boolean",
description: "Whether to enable automatic prompt optimization",
default: false
},
webhook_url: {
type: "string",
description: "Optional webhook URL for result notifications"
}
},
required: ["prompt"]
}
},
async (args: any) => {
if (!falConfigured) {
return {
content: [{
type: "text",
text: "Error: FAL_KEY environment variable is not set. Please configure your fal.ai API key."
}],
isError: true
};
}
const { webhook_url, ...input } = args;
// Set defaults
if (input.aspect_ratio === undefined) input.aspect_ratio = "1:1";
if (input.num_images === undefined) input.num_images = 1;
if (input.prompt_optimizer === undefined) input.prompt_optimizer = false;
try {
console.error(`Submitting queue request for fal-ai/minimax/image-01 - prompt: "${input.prompt}"`);
const result = await fal.queue.submit("fal-ai/minimax/image-01", {
input,
webhookUrl: webhook_url
});
return {
content: [
{
type: "text",
text: `Successfully submitted image generation request to queue.
Request ID: ${result.request_id}
Prompt: "${input.prompt}"
Aspect Ratio: ${input.aspect_ratio}
Number of Images: ${input.num_images}
Prompt Optimizer: ${input.prompt_optimizer ? 'Enabled' : 'Disabled'}
${webhook_url ? `Webhook URL: ${webhook_url}` : 'No webhook configured'}
Use the request ID with minimax_queue_status to check progress or minimax_queue_result to get the final result.`
}
]
};
} catch (error) {
console.error('Error submitting queue request:', error);
let errorMessage = "Failed to submit queue request for fal-ai/minimax/image-01.";
if (error instanceof Error) {
errorMessage += ` Error: ${error.message}`;
}
return {
content: [
{
type: "text",
text: errorMessage
}
],
isError: true
};
}
}
);
// Tool: Check queue status
server.tool(
"minimax_queue_status",
{
description: "Check the status of a queued image generation request",
inputSchema: {
type: "object",
properties: {
request_id: {
type: "string",
description: "The request ID from queue submission"
},
logs: {
type: "boolean",
description: "Include logs in response",
default: true
}
},
required: ["request_id"]
}
},
async (args: any) => {
if (!falConfigured) {
return {
content: [{
type: "text",
text: "Error: FAL_KEY environment variable is not set. Please configure your fal.ai API key."
}],
isError: true
};
}
const { request_id, logs = true } = args;
try {
console.error(`Checking status for request: ${request_id}`);
const status = await fal.queue.status("fal-ai/minimax/image-01", {
requestId: request_id,
logs
});
let responseText = `Queue Status for Request ID: ${request_id}
Status: ${status.status}`;
if (status.response_url) {
responseText += `\nResponse URL: ${status.response_url}`;
}
// Handle logs if available (logs might be in different property depending on status)
const statusAny = status as any;
if (statusAny.logs && statusAny.logs.length > 0) {
responseText += `\n\nLogs:\n${statusAny.logs.map((log: any) => `[${log.timestamp}] ${log.message}`).join('\n')}`;
}
return {
content: [
{
type: "text",
text: responseText
}
]
};
} catch (error) {
console.error('Error checking queue status:', error);
let errorMessage = "Failed to check queue status.";
if (error instanceof Error) {
errorMessage += ` Error: ${error.message}`;
}
return {
content: [
{
type: "text",
text: errorMessage
}
],
isError: true
};
}
}
);
// Tool: Get queue result
server.tool(
"minimax_queue_result",
{
description: "Get the result of a completed queued image generation request",
inputSchema: {
type: "object",
properties: {
request_id: {
type: "string",
description: "The request ID from queue submission"
}
},
required: ["request_id"]
}
},
async (args: any) => {
if (!falConfigured) {
return {
content: [{
type: "text",
text: "Error: FAL_KEY environment variable is not set. Please configure your fal.ai API key."
}],
isError: true
};
}
const { request_id } = args;
try {
console.error(`Getting result for request: ${request_id}`);
const result = await fal.queue.result("fal-ai/minimax/image-01", {
requestId: request_id
});
const output = result.data as MinimaxImageResult;
// Download images locally
console.error("Downloading images locally...");
const downloadedImages = [];
for (let i = 0; i < output.images.length; i++) {
const image = output.images[i];
const filename = generateImageFilename(`queue_result_${request_id}`, i + 1);
try {
const localPath = await downloadImage(image.url, filename);
downloadedImages.push({
url: image.url,
localPath,
index: i + 1,
content_type: image.content_type,
file_name: image.file_name,
file_size: image.file_size,
filename
});
console.error(`Downloaded: ${filename}`);
} catch (downloadError) {
console.error(`Failed to download image ${i + 1}:`, downloadError);
downloadedImages.push({
url: image.url,
localPath: null,
index: i + 1,
content_type: image.content_type,
file_name: image.file_name,
file_size: image.file_size,
filename
});
}
}
const imageDetails = downloadedImages.map(img => {
let details = `Image ${img.index}:`;
if (img.localPath) {
details += `\n Local Path: ${img.localPath}`;
}
details += `\n Original URL: ${img.url}`;
details += `\n Filename: ${img.filename}`;
details += `\n Content Type: ${img.content_type}`;
details += `\n File Size: ${img.file_size} bytes`;
return details;
}).join('\n\n');
const responseText = `Queue Result for Request ID: ${request_id}
Successfully completed! Generated ${downloadedImages.length} image(s):
Generated Images:
${imageDetails}
${downloadedImages.some(img => img.localPath) ? 'Images have been downloaded to the local \'images\' directory.' : 'Note: Local download failed, but original URLs are available.'}`;
return {
content: [
{
type: "text",
text: responseText
}
]
};
} catch (error) {
console.error('Error getting queue result:', error);
let errorMessage = "Failed to get queue result.";
if (error instanceof Error) {
errorMessage += ` Error: ${error.message}`;
}
return {
content: [
{
type: "text",
text: errorMessage
}
],
isError: true
};
}
}
);
// Handle shutdown gracefully
process.on('SIGINT', () => {
console.error('Received SIGINT, shutting down gracefully...');
process.exit(0);
});
process.on('SIGTERM', () => {
console.error('Received SIGTERM, shutting down gracefully...');
process.exit(0);
});
async function main() {
const transport = new StdioServerTransport();
await server.connect(transport);
}
main().catch((error) => {
console.error('Server error:', error);
process.exit(1);
});
