fal.ai Image Generation Server connects AI-powered image creation capabilities directly into your development environment through the Model Context Protocol. It enables text-to-image generation using fal.ai's diverse model ecosystem without leaving your IDE. Key features: - Generate images from text prompts using any fal.ai model (Kolors, Recraft-v3, and more) - Native integration with AI IDEs including Cursor and Windsurf - Configurable generation parameters including image count, size, inference steps, guidance scale, and safety checker - Automatic local saving with accessible file paths for immediate use in workflows - Built on Node.js with simple npx deployment

[](https://mseep.ai/app/madhusudan-kulkarni-mcp-fal-ai-image)

[](https://www.npmjs.com/package/mcp-fal-ai-image) [](https://nodejs.org/) [](https://www.typescriptlang.org/) [](LICENSE)

MCP fal.ai Image Server

Effortlessly generate images from text prompts using fal.ai and the Model Context Protocol (MCP). Integrates directly with AI IDEs like Cursor and Windsurf.

When and Why to Use

This tool is designed for:

Key features:

Quick Start

1. Requirements: Node.js 18+, fal.ai API key 2. Configure MCP:

   {
     "mcpServers": {
       "fal-ai-image": {
         "command": "npx",
         "args": ["-y", "mcp-fal-ai-image"],
         "env": { "FAL_KEY": "YOUR-FAL-AI-API-KEY" }
       }
     }
   }
   

> 💡 Typical Workflow: > Describe the image you want (e.g., “generate a landscape with flying cars using model fal-ai/kolors, 2 images, landscape_16_9”) and get instant results in your IDE.

🗨️ Example Prompts

Supported parameters: prompt, model ID (any fal.ai model), number of images, image size, inference steps, guidance scale, safety checker.

Images are saved locally; file paths are shown in the response. For model IDs, see fal.ai/models.

Troubleshooting

Advanced: Example MCP Request/Response

{
  "tool": "generate-image",
  "args": {
    "prompt": "A futuristic cityscape at sunset",
    "model": "fal-ai/kolors"
  }
}
// Example response
{
  "images": [
    { "url": "file:///path/to/generated_image1.png" },
    { "url": "file:///path/to/generated_image2.png" }
  ]
}

📁 Image Output Directory

Generated images are saved to your local system:

The full file path for each image is included in the tool's response.

⚠️ Error Handling & Troubleshooting

🤝 Contributing

Contributions and suggestions are welcome! Please open issues or pull requests on GitHub.

🔒 Security

🔗 Links

🛡 License

MIT License © 2025 Madhusudan Kulkarni