Fal.ai Image

Provides programmatic image generation via fal.ai models through an MCP client.
  • javascript

2

GitHub Stars

javascript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

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

You can generate images from text prompts directly within your development workflow using the fal.ai Image MCP server. It connects fal.ai’s image models to your MCP client, letting you describe visuals and receive ready-to-use images without leaving your IDE. This streamlines rapid prototyping, marketing visuals, and experimental AI workflows by handling image generation through a simple, programmable interface.

How to use

To use the fal.ai Image MCP server, configure your MCP client to load the fal_ai_image server and then invoke the generate-image tool from your IDE. Provide a text prompt and optional image parameters, and the server communicates with fal.ai to return generated images saved on your machine.

How to install

Prerequisites: Node.js 18+ and npm.

Install and run the MCP server using the provided local configuration snippet. Use your fal.ai API key where indicated.

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

Additional configuration and notes

Images are saved locally by default. You can customize the output directory by setting the environment variable FAL_IMAGES_OUTPUT_DIR. The server will store generated images under <your-folder>/fal_ai.

Key features include support for any fal.ai model and all major image parameters. The server is designed to work with Node.js and accepts a fal.ai API key locally. It saves images to accessible file paths and provides robust error handling.

Troubleshooting

If you encounter an error stating the FAL_KEY environment variable is not set, provide your fal.ai API key in the environment as shown above.

If npx is not found, install Node.js 18+ and npm, then retry.

Security and data handling

Your fal.ai API key is used only to authenticate with fal.ai and is kept local. No user data is stored or transmitted beyond what fal.ai requires for image generation.

Available tools

generate-image

Tool to generate images from text prompts. Accepts model ID, prompt, image count, size, steps, guidance scale, and safety options; returns local file paths for saved images.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational