FAL Reve MCP Server

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.

🔗 Repository: https://github.com/PierrunoYT/fal-reve-edit-mcp-server

✅ 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
Image Editing: Edit existing images by uploading and transforming them via text prompts
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 and edited 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 (generation only)
Batch Generation/Editing: Generate or edit up to 4 images at once
Dual Methods: Both real-time and async queue-based generation and editing
Flexible Output Formats: Support for PNG, JPEG, and WebP formats
Multiple Input Formats: Supports PNG, JPEG, WebP, AVIF, and HEIF for image editing
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-edit-mcp-server.git
cd fal-reve-edit-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

🚀 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-edit-mcp-server.git"
      ],
      "env": {
        "FAL_KEY": "your-fal-api-key-here"
      }
    }
  }
}

Benefits:

✅ Universal Access: Works on any machine with Node.js
✅ No Local Installation: npx downloads, builds, and runs automatically
✅ Always Latest Version: Pulls from GitHub repository
✅ Cross-Platform: Windows, macOS, Linux compatible
✅ Settings Sync: Works everywhere you use your MCP client
✅ Auto-Build: Automatically compiles TypeScript on first run

Alternative: Local Installation

Note: Local installation requires building the project first with npm install && npm run build.

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-edit-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-edit-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

`reve_edit`

Edit an existing image using Reve - upload an image and transform it via a text prompt.

Parameters:

prompt (required): The text description of how to edit the provided image
image_url (required): URL of the reference image to edit. Must be publicly accessible or base64 data URI. Supports PNG, JPEG, WebP, AVIF, and HEIF formats
num_images (optional): Number of images to generate, 1-4 (default: 1)
output_format (optional): "png", "jpeg", or "webp" (default: "png")
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)

Response includes:

Edited image URLs for immediate access
Generation metadata (request ID)
File information (content type, dimensions)
Local file paths for downloaded images

`reve_edit_async`

Edit an existing image using Reve with async queue processing for longer requests.

Parameters: Same as reve_edit

Use this tool when:

Editing multiple variations (2-4)
Complex edits that might take longer
When the regular tool times out
For batch editing workflows

Features:

Queue-based processing with status polling
5-minute timeout with progress updates
Detailed logging of editing progress

📥 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

API Call: Server calls FAL AI's Reve API
Response: FAL returns temporary URLs for generated images
Auto-Download: Server immediately downloads images to local storage
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/
├── images/                    # Auto-created directory
│   ├── reve_mountain_landscape_1_2025-06-24T18-30-45-123Z.png
│   ├── reve_cute_robot_1_2025-06-24T18-31-20-456Z.png
│   └── ...

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

Image Editing Examples

Basic Image Edit

Edit an image with:
- Image URL: "https://example.com/image.png"
- Prompt: "Give him a friend"

Advanced Image Edit

Edit an image with:
- Image URL: "https://example.com/photo.jpg"
- Prompt: "Add a sunset sky in the background"
- Number of images: 2
- Output format: png

Editing with Base64 Data URI

Edit an image with:
- Image URL: "data:image/png;base64,iVBORw0KGgoAAAANS..."
- Prompt: "Make it more vibrant and colorful"
- Output format: webp

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)
Image Editing Real-time: fal-ai/reve/edit (subscribe method)
Image Editing Async: fal-ai/reve/edit (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

├── src/
│   └── index.ts          # Main MCP server implementation
├── build/                # Compiled JavaScript (created after npm run build)
├── test-server.js        # Server testing utility
├── get-path.js          # Configuration path helper
├── example-mcp-config.json # Example configuration
├── package.json         # Project metadata and dependencies
└── 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

Edit files in the src/ directory
Run npm run build to compile
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

Recommended: Use the npx configuration for universal compatibility (builds automatically)
If using local installation:
- Make sure you've run npm install and npm run build first
- Verify the path to build/index.js is correct and absolute
- Ensure the build/ directory exists with compiled files
Ensure Node.js 18+ is installed: node --version
Test server startup: npm run test
Restart your MCP client (Claude Desktop, Kilo Code, etc.)
Note: Server will start successfully even without FAL_KEY - check tool responses for API key errors

Image generation failing

Verify your FAL API key is valid and has sufficient credits
Check that your prompt follows FAL AI's content policy
Try reducing the number of images or simplifying the prompt
Use the async tool for complex requests
Check the server logs for detailed error messages
Ensure the Reve model is available in your region

Image editing failing

Verify your FAL API key is valid and has sufficient credits
Ensure the image URL is publicly accessible or use a base64 data URI
Check that the image format is supported (PNG, JPEG, WebP, AVIF, HEIF)
Verify the image URL is valid and accessible
Try reducing the number of edited images or simplifying the edit prompt
Use the async tool for complex edits
Check the server logs for detailed error messages

Build issues

If you need to rebuild the server:

npm install
npm run build

Configuration issues

Use the helper script to get the correct path:

npm run get-path

Support

For issues with:

This MCP server: Create an issue in this repository
FAL AI API: Check FAL AI documentation
MCP Protocol: See MCP documentation

License

MIT License - see LICENSE file for details.

Contributing

Fork the repository
Create a feature branch
Make your changes
Test with npm run test
Submit a pull request

Changelog

v1.1.0

✏️ Image Editing Support: Added reve_edit and reve_edit_async tools for editing existing images
🖼️ Multiple Input Formats: Support for PNG, JPEG, WebP, AVIF, and HEIF formats for image editing
📝 Enhanced Documentation: Added comprehensive examples and troubleshooting for image editing

v1.0.0

🚀 Initial release: Reve support via FAL AI
📥 Automatic image download: Generated images are automatically saved to local images directory
🗂️ Smart filename generation: Images saved with descriptive names including prompt and timestamp
🔄 Enhanced responses: Returns both local file paths and original URLs for maximum flexibility
📁 Auto-directory creation: Creates images folder automatically if it doesn't exist
🛡️ Download error handling: Graceful fallback to original URLs if local download fails
🎨 Accurate text rendering: Superior text integration capabilities with Reve
⚙️ Comprehensive controls: Full parameter support including aspect ratios and output formats
🔄 Dual generation methods: Both real-time and async queue-based generation
📐 Multiple aspect ratios: Support for 7 different aspect ratios (16:9, 9:16, 3:2, 2:3, 4:3, 3:4, 1:1)
🖼️ Multiple output formats: Support for PNG, JPEG, and WebP formats
🔧 Robust error handling: Graceful shutdown handlers and comprehensive error reporting
🌍 Universal portability: Works everywhere with npx configuration

FAL Reve MCP Server

🔗 Repository: https://github.com/PierrunoYT/fal-reve-edit-mcp-server

✅ 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
Image Editing: Edit existing images by uploading and transforming them via text prompts
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 and edited 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 (generation only)
Batch Generation/Editing: Generate or edit up to 4 images at once
Dual Methods: Both real-time and async queue-based generation and editing
Flexible Output Formats: Support for PNG, JPEG, and WebP formats
Multiple Input Formats: Supports PNG, JPEG, WebP, AVIF, and HEIF for image editing
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-edit-mcp-server.git
cd fal-reve-edit-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

🚀 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-edit-mcp-server.git"
      ],
      "env": {
        "FAL_KEY": "your-fal-api-key-here"
      }
    }
  }
}

Benefits:

✅ Universal Access: Works on any machine with Node.js
✅ No Local Installation: npx downloads, builds, and runs automatically
✅ Always Latest Version: Pulls from GitHub repository
✅ Cross-Platform: Windows, macOS, Linux compatible
✅ Settings Sync: Works everywhere you use your MCP client
✅ Auto-Build: Automatically compiles TypeScript on first run

Alternative: Local Installation

Note: Local installation requires building the project first with npm install && npm run build.

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-edit-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-edit-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

`reve_edit`

Edit an existing image using Reve - upload an image and transform it via a text prompt.

Parameters:

prompt (required): The text description of how to edit the provided image
image_url (required): URL of the reference image to edit. Must be publicly accessible or base64 data URI. Supports PNG, JPEG, WebP, AVIF, and HEIF formats
num_images (optional): Number of images to generate, 1-4 (default: 1)
output_format (optional): "png", "jpeg", or "webp" (default: "png")
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)

Response includes:

Edited image URLs for immediate access
Generation metadata (request ID)
File information (content type, dimensions)
Local file paths for downloaded images

`reve_edit_async`

Edit an existing image using Reve with async queue processing for longer requests.

Parameters: Same as reve_edit

Use this tool when:

Editing multiple variations (2-4)
Complex edits that might take longer
When the regular tool times out
For batch editing workflows

Features:

Queue-based processing with status polling
5-minute timeout with progress updates
Detailed logging of editing progress

📥 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

API Call: Server calls FAL AI's Reve API
Response: FAL returns temporary URLs for generated images
Auto-Download: Server immediately downloads images to local storage
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/
├── images/                    # Auto-created directory
│   ├── reve_mountain_landscape_1_2025-06-24T18-30-45-123Z.png
│   ├── reve_cute_robot_1_2025-06-24T18-31-20-456Z.png
│   └── ...

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

Image Editing Examples

Basic Image Edit

Edit an image with:
- Image URL: "https://example.com/image.png"
- Prompt: "Give him a friend"

Advanced Image Edit

Edit an image with:
- Image URL: "https://example.com/photo.jpg"
- Prompt: "Add a sunset sky in the background"
- Number of images: 2
- Output format: png

Editing with Base64 Data URI

Edit an image with:
- Image URL: "data:image/png;base64,iVBORw0KGgoAAAANS..."
- Prompt: "Make it more vibrant and colorful"
- Output format: webp

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)
Image Editing Real-time: fal-ai/reve/edit (subscribe method)
Image Editing Async: fal-ai/reve/edit (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

├── src/
│   └── index.ts          # Main MCP server implementation
├── build/                # Compiled JavaScript (created after npm run build)
├── test-server.js        # Server testing utility
├── get-path.js          # Configuration path helper
├── example-mcp-config.json # Example configuration
├── package.json         # Project metadata and dependencies
└── 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

Edit files in the src/ directory
Run npm run build to compile
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

Recommended: Use the npx configuration for universal compatibility (builds automatically)
If using local installation:
- Make sure you've run npm install and npm run build first
- Verify the path to build/index.js is correct and absolute
- Ensure the build/ directory exists with compiled files
Ensure Node.js 18+ is installed: node --version
Test server startup: npm run test
Restart your MCP client (Claude Desktop, Kilo Code, etc.)
Note: Server will start successfully even without FAL_KEY - check tool responses for API key errors

Image generation failing

Verify your FAL API key is valid and has sufficient credits
Check that your prompt follows FAL AI's content policy
Try reducing the number of images or simplifying the prompt
Use the async tool for complex requests
Check the server logs for detailed error messages
Ensure the Reve model is available in your region

Image editing failing

Verify your FAL API key is valid and has sufficient credits
Ensure the image URL is publicly accessible or use a base64 data URI
Check that the image format is supported (PNG, JPEG, WebP, AVIF, HEIF)
Verify the image URL is valid and accessible
Try reducing the number of edited images or simplifying the edit prompt
Use the async tool for complex edits
Check the server logs for detailed error messages

Build issues

If you need to rebuild the server:

npm install
npm run build

Configuration issues

Use the helper script to get the correct path:

npm run get-path

Support

For issues with:

This MCP server: Create an issue in this repository
FAL AI API: Check FAL AI documentation
MCP Protocol: See MCP documentation

License

MIT License - see LICENSE file for details.

Contributing

Fork the repository
Create a feature branch
Make your changes
Test with npm run test
Submit a pull request

Changelog

v1.1.0

✏️ Image Editing Support: Added reve_edit and reve_edit_async tools for editing existing images
🖼️ Multiple Input Formats: Support for PNG, JPEG, WebP, AVIF, and HEIF formats for image editing
📝 Enhanced Documentation: Added comprehensive examples and troubleshooting for image editing

v1.0.0

🚀 Initial release: Reve support via FAL AI
📥 Automatic image download: Generated images are automatically saved to local images directory
🗂️ Smart filename generation: Images saved with descriptive names including prompt and timestamp
🔄 Enhanced responses: Returns both local file paths and original URLs for maximum flexibility
📁 Auto-directory creation: Creates images folder automatically if it doesn't exist
🛡️ Download error handling: Graceful fallback to original URLs if local download fails
🎨 Accurate text rendering: Superior text integration capabilities with Reve
⚙️ Comprehensive controls: Full parameter support including aspect ratios and output formats
🔄 Dual generation methods: Both real-time and async queue-based generation
📐 Multiple aspect ratios: Support for 7 different aspect ratios (16:9, 9:16, 3:2, 2:3, 4:3, 3:4, 1:1)
🖼️ Multiple output formats: Support for PNG, JPEG, and WebP formats
🔧 Robust error handling: Graceful shutdown handlers and comprehensive error reporting
🌍 Universal portability: Works everywhere with npx configuration

FAL Reve MCP Server

FAL Reve MCP Server

Features

Prerequisites

Installation

1. Get your FAL AI API Key

2. Clone or Download

3. Install Dependencies and Build

Configuration

🚀 Recommended: Universal npx Configuration (Works Everywhere)

Alternative: Local Installation

For Claude Desktop

For Kilo Code MCP Settings

Available Tools

reve_generate

reve_generate_async

reve_edit

reve_edit_async

📥 How Image Download Works

1. Image Generation Flow

2. Download Implementation

Download Function (downloadImage):

Filename Generation (generateImageFilename):

3. File Storage Details

Directory Structure:

Filename Format:

4. Response Format

Example Usage

Basic Image Generation

With Specific Parameters

Advanced Usage with Text Rendering

Text-Heavy Prompts (Reve Specialty)

WebP Format Example

Image Editing Examples

Basic Image Edit

Advanced Image Edit

Editing with Base64 Data URI

Technical Details

Architecture

API Endpoints Used

Error Handling

Development

Project Structure

Scripts

Making Changes

Testing

API Costs

Troubleshooting

Server not appearing in MCP client

Image generation failing

Image editing failing

Build issues

Configuration issues

Support

License

Contributing

Changelog

v1.1.0

v1.0.0

FAL Reve MCP Server

Features

Prerequisites

Installation

1. Get your FAL AI API Key

2. Clone or Download

3. Install Dependencies and Build

Configuration

🚀 Recommended: Universal npx Configuration (Works Everywhere)

Alternative: Local Installation

For Claude Desktop

For Kilo Code MCP Settings

Available Tools

reve_generate

reve_generate_async

reve_edit

reve_edit_async

📥 How Image Download Works

1. Image Generation Flow

2. Download Implementation

Download Function (downloadImage):

`reve_generate`

`reve_generate_async`

`reve_edit`

`reve_edit_async`

Download Function (`downloadImage`):

Filename Generation (`generateImageFilename`):

`reve_generate`

`reve_generate_async`

`reve_edit`

`reve_edit_async`

Download Function (`downloadImage`):

Filename Generation (`generateImageFilename`):