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FAL Reve MCP Server

by PierrunoYT
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JavaScript
Hybrid

FAL Reve MCP Server

License: MIT TypeScript MCP FAL AI

A Model Context Protocol (MCP) server that provides access to Reve - a text-to-image model that generates detailed visual output closely following your instructions, with strong aesthetic quality and accurate text rendering.

šŸ”— Repository: https://github.com/PierrunoYT/fal-reve-mcp-server

āœ… Enhanced Reliability: Server handles missing API keys gracefully without crashes and includes robust error handling.

Features

  • High-Quality Image Generation: Uses Reve - a text-to-image model via FAL AI

  • Detailed Visual Output: Generates images that closely follow your instructions

  • Strong Aesthetic Quality: Produces visually appealing results

  • Accurate Text Rendering: Superior text integration and rendering capabilities

  • Automatic Image Download: Generated images are automatically saved to local images directory

  • Multiple Aspect Ratios: Support for 16:9, 9:16, 3:2, 2:3, 4:3, 3:4, and 1:1

  • Batch Generation: Generate up to 4 images at once

  • Dual Generation Methods: Both real-time and async queue-based generation

  • Flexible Output Formats: Support for PNG, JPEG, and WebP formats

  • Detailed Responses: Returns both local file paths and original URLs with metadata

  • Robust Error Handling: Graceful handling of missing API keys without server crashes

  • Universal Portability: Works anywhere with npx - no local installation required

  • Enhanced Reliability: Graceful shutdown handlers and comprehensive error reporting

Prerequisites

  • Node.js 18 or higher

  • FAL AI API key

Installation

1. Get your FAL AI API Key

  • Visit FAL AI

  • Sign up for an account

  • Navigate to your dashboard

  • Generate an API key

2. Clone or Download

git clone https://github.com/PierrunoYT/fal-reve-mcp-server.git cd fal-reve-mcp-server

3. Install Dependencies and Build

npm install npm run build

This will compile the TypeScript source code to JavaScript in the build/ directory.

Configuration

šŸš€ Recommended: Universal npx Configuration (Works Everywhere)

Best option for portability - works on any machine with Node.js:

{ "mcpServers": { "fal-reve": { "command": "npx", "args": [ "-y", "https://github.com/PierrunoYT/fal-reve-mcp-server.git" ], "env": { "FAL_KEY": "your-fal-api-key-here" } } } }

Benefits:

  • āœ… Universal Access: Works on any machine with Node.js

  • āœ… No Local Installation: npx downloads, builds, and runs automatically

  • āœ… Always Latest Version: Pulls from GitHub repository

  • āœ… Cross-Platform: Windows, macOS, Linux compatible

  • āœ… Settings Sync: Works everywhere you use your MCP client

  • āœ… Auto-Build: Automatically compiles TypeScript on first run

Alternative: Local Installation

If you prefer to install locally, use the path helper:

npm run get-path

This will output the complete MCP configuration with the correct absolute path.

For Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{ "mcpServers": { "fal-reve": { "command": "node", "args": ["path/to/fal-reve-mcp-server/build/index.js"], "env": { "FAL_KEY": "your-fal-api-key-here" } } } }

For Kilo Code MCP Settings

Add to your MCP settings file at: C:\Users\[username]\AppData\Roaming\Kilo-Code\MCP\settings\mcp_settings.json

{ "mcpServers": { "fal-reve": { "command": "node", "args": ["path/to/fal-reve-mcp-server/build/index.js"], "env": { "FAL_KEY": "your-fal-api-key-here" }, "disabled": false, "alwaysAllow": [] } } }

Available Tools

reve_generate

Generate images using Reve with real-time processing.

Parameters:

  • prompt (required): The text description of the desired image

  • sync_mode (optional): If true, the media will be returned as a data URI and the output data won't be available in the request history (default: false)

  • num_images (optional): Number of images to generate, 1-4 (default: 1)

  • output_format (optional): "png", "jpeg", or "webp" (default: "png")

  • aspect_ratio (optional): "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", or "1:1" (default: "3:2")

Response includes:

  • Image URLs for immediate access

  • Generation metadata (request ID)

  • File information (content type, dimensions)

  • Local file paths for downloaded images

reve_generate_async

Generate images using Reve with async queue processing for longer requests.

Parameters: Same as reve_generate

Use this tool when:

  • Generating multiple images (2-4)

  • Complex prompts that might take longer

  • When the regular tool times out

  • For batch processing workflows

Features:

  • Queue-based processing with status polling

  • 5-minute timeout with progress updates

  • Detailed logging of generation progress

šŸ“„ How Image Download Works

The FAL Reve MCP server automatically downloads generated images to your local machine. Here's the complete process:

1. Image Generation Flow

  1. API Call: Server calls FAL AI's Reve API

  2. Response: FAL returns temporary URLs for generated images

  3. Auto-Download: Server immediately downloads images to local storage

  4. Response: Returns both local paths and original URLs

2. Download Implementation

Download Function (downloadImage):

async function downloadImage(url: string, filename: string): Promise<string> { // 1. Parse the URL and determine HTTP/HTTPS client const parsedUrl = new URL(url); const client = parsedUrl.protocol === 'https:' ? https : http; // 2. Create 'images' directory if it doesn't exist const imagesDir = path.join(process.cwd(), 'images'); if (!fs.existsSync(imagesDir)) { fs.mkdirSync(imagesDir, { recursive: true }); } // 3. Create file write stream const filePath = path.join(imagesDir, filename); const file = fs.createWriteStream(filePath); // 4. Download and pipe to file client.get(url, (response) => { response.pipe(file); // Handle completion and errors }); }

Filename Generation (generateImageFilename):

function generateImageFilename(prompt: string, index: number, outputFormat: string): string { // Creates safe filename: reve_prompt_index_timestamp.png const safePrompt = prompt .toLowerCase() .replace(/[^a-z0-9\s]/g, '') // Remove special characters .replace(/\s+/g, '_') // Replace spaces with underscores .substring(0, 50); // Limit length const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); return `reve_${safePrompt}_${index}_${timestamp}.${outputFormat}`; }

3. File Storage Details

Directory Structure:

your-project/ ā”œā”€ā”€ images/ # Auto-created directory ā”‚ ā”œā”€ā”€ reve_mountain_landscape_1_2025-06-24T18-30-45-123Z.png ā”‚ ā”œā”€ā”€ reve_cute_robot_1_2025-06-24T18-31-20-456Z.png ā”‚ ā””ā”€ā”€ ...

Filename Format:

  • Prefix: reve_

  • Prompt: First 50 chars, sanitized (alphanumeric + underscores)

  • Index: Image number (for multiple images)

  • Timestamp: ISO timestamp for uniqueness

  • Extension: .png, .jpeg, or .webp based on output_format

4. Response Format

The server returns both local and remote information:

Successfully generated 1 image(s) using Reve: Prompt: "a serene mountain landscape with text 'REVE' painted in white" Aspect Ratio: 3:2 Output Format: png Request ID: req_abc123 Generated Images: Image 1: Local Path: /path/to/project/images/reve_a_serene_mountain_landscape_1_2025-06-24T18-30-45-123Z.png Original URL: https://v3.fal.media/files/... Dimensions: 1024x1024 Images have been downloaded to the local 'images' directory.

Example Usage

Basic Image Generation

Generate a photorealistic image of a golden retriever playing in a field of sunflowers with the text "HAPPY DOG" written in bold letters

With Specific Parameters

Generate an image with: - Prompt: "A minimalist logo design for a tech startup, clean lines, with 'STARTUP' text" - Aspect ratio: 16:9 - Output format: png - Number of images: 2

Advanced Usage with Text Rendering

Generate 4 images of "A futuristic cityscape at night with neon lights and flying cars, large billboard displaying 'FUTURE CITY 2025'" with aspect ratio 16:9

Text-Heavy Prompts (Reve Specialty)

Create an image of a vintage bookstore with multiple book spines showing titles like "The Art of Code", "Digital Dreams", and "Future Stories" clearly readable

WebP Format Example

Generate an image with: - Prompt: "A serene mountain landscape at sunset" - Output format: webp - Aspect ratio: 3:2

Technical Details

Architecture

  • Language: TypeScript with ES2022 target

  • Runtime: Node.js 18+ with ES modules

  • Protocol: Model Context Protocol (MCP) SDK v1.0.0

  • API Client: FAL AI JavaScript client v1.0.0

  • Validation: Zod schema validation

API Endpoints Used

  • Text-to-Image Real-time: fal-ai/reve/text-to-image (subscribe method)

  • Text-to-Image Async: fal-ai/reve/text-to-image (queue method)

Error Handling

  • Graceful API key handling: Server continues running even without FAL_KEY set

  • No crash failures: Removed process.exit() calls that caused connection drops

  • Null safety checks: All tools validate API client availability before execution

  • Graceful shutdown: Proper SIGINT and SIGTERM signal handling

  • API error catching: Comprehensive error reporting with detailed context

  • Timeout handling: Robust async request management with progress updates

  • User-friendly messages: Clear error descriptions instead of technical crashes

Development

Project Structure

ā”œā”€ā”€ src/ ā”‚ ā””ā”€ā”€ index.ts # Main MCP server implementation ā”œā”€ā”€ build/ # Compiled JavaScript (created after running npm run build) ā”œā”€ā”€ test-server.js # Server testing utility ā”œā”€ā”€ get-path.js # Configuration path helper ā”œā”€ā”€ example-mcp-config.json # Example configuration ā”œā”€ā”€ package.json # Project metadata and dependencies ā””ā”€ā”€ tsconfig.json # TypeScript configuration

Scripts

  • npm run build - Compile TypeScript to JavaScript

  • npm run dev - Watch mode for development

  • npm run start - Start the server directly

  • npm run test - Test server startup and basic functionality

  • npm run get-path - Get configuration path for your system

Making Changes

  1. Edit files in the src/ directory

  2. Run npm run build to compile

  3. Restart your MCP client to use the updated server

Testing

npm run test

This runs a basic connectivity test that verifies:

  • Server starts correctly

  • MCP protocol initialization

  • Tool discovery functionality

API Costs

This server uses the FAL AI platform, which charges per image generation. Check FAL AI pricing for current rates.

Typical costs (as of 2024):

  • Reve: Check FAL AI pricing for current rates

  • Costs vary by resolution and complexity

Troubleshooting

Server not appearing in MCP client

  1. Recommended: Use the npx configuration for universal compatibility

  2. If using local installation, verify the path to build/index.js is correct and absolute

  3. Ensure Node.js 18+ is installed: node --version

  4. Test server startup: npm run test

  5. Restart your MCP client (Claude Desktop, Kilo Code, etc.)

  6. Note: Server will start successfully even without FAL_KEY - check tool responses for API key errors

Image generation failing

  1. Verify your FAL API key is valid and has sufficient credits

  2. Check that your prompt follows FAL AI's content policy

  3. Try reducing the number of images or simplifying the prompt

  4. Use the async tool for complex requests

  5. Check the server logs for detailed error messages

  6. Ensure the Reve model is available in your region

Build issues

If you encounter build errors or need to rebuild the server:

npm install npm run build

Note: The build/ directory must exist before using the server. Make sure to run npm run build after cloning the repository.

Configuration issues

Use the helper script to get the correct path:

npm run get-path

Support

For issues with:

License

MIT License - see LICENSE file for details.

Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes

  4. Test with npm run test

  5. Submit a pull request

Changelog

v1.0.0

  • šŸš€ Initial release: Reve support via FAL AI

  • šŸ“„ Automatic image download: Generated images are automatically saved to local images directory

  • šŸ—‚ļø Smart filename generation: Images saved with descriptive names including prompt and timestamp

  • šŸ”„ Enhanced responses: Returns both local file paths and original URLs for maximum flexibility

  • šŸ“ Auto-directory creation: Creates images folder automatically if it doesn't exist

  • šŸ›”ļø Download error handling: Graceful fallback to original URLs if local download fails

  • šŸŽØ Accurate text rendering: Superior text integration capabilities with Reve

  • āš™ļø Comprehensive controls: Full parameter support including aspect ratios and output formats

  • šŸ”„ Dual generation methods: Both real-time and async queue-based generation

  • šŸ“ Multiple aspect ratios: Support for 7 different aspect ratios (16:9, 9:16, 3:2, 2:3, 4:3, 3:4, 1:1)

  • šŸ–¼ļø Multiple output formats: Support for PNG, JPEG, and WebP formats

  • šŸ”§ Robust error handling: Graceful shutdown handlers and comprehensive error reporting

  • šŸŒ Universal portability: Works everywhere with npx configuration

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