Flux ImageGen MCP Server

A specialized Model Context Protocol (MCP) server for image generation and manipulation, powered by Pollinations AI.

Developer

• Author: Falah.G.Salieh

• Copyright: © 2025 All rights reserved

Related MCP server: DALL-E MCP Server

Overview

ImageGen MCP Server is a streamlined server implementation that provides powerful image generation capabilities through the Model Context Protocol (MCP). This server specializes in three core functionalities:

1. Image URL Generation

2. Direct Image Generation

3. Model Listing and Management

Features

• 🖼️ Image Generation: Create stunning images from text prompts

• 🎨 Multiple Models: Support for various image generation models

• 🔧 Flexible Configuration: Easy to set up and customize

• 🚀 High Performance: Optimized for quick response times

• 🔄 MCP Compatible: Fully compliant with Model Context Protocol

Installation

# Clone the repository
git clone https://github.com/yourusername/flux-imagegen-mcp-server.git

# Install dependencies
npm install

Configuration

Claude Desktop Configuration

To use this server with Claude Desktop, update your configuration file at: C:\Users\[YourUsername]\AppData\Roaming\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mcpollinations": {
      "command": "cmd",
      "args": [
        "/c",
        "node",
        "PATH_TO_YOUR_SERVER\\server.js"
      ],
      "tools": [
        "generateImageUrl",
        "generateImage",
        "listImageModels"
      ]
    }
  }
}

Replace PATH_TO_YOUR_SERVER with your actual server path.

Available Tools

1. Generate Image URL (generateImageUrl)

Generates a URL for an image based on a text prompt.

{
  "prompt": "A beautiful sunset over mountains",
  "model": "flux",  // optional, defaults to 'flux'
  "width": 1024,    // optional
  "height": 1024,   // optional
  "enhance": true,  // optional
  "safe": false     // optional
}

2. Generate Image (generateImage)

Generates and saves an image directly from a text prompt.

{
  "prompt": "A serene lake reflecting mountains",
  "model": "flux",
  "width": 1024,
  "height": 1024,
  "enhance": true,
  "safe": false,
  "outputPath": "./output",
  "fileName": "mountain_lake",
  "format": "png"
}

3. List Image Models (listImageModels)

Returns a list of available image generation models.

// Example response:
{
  "models": [
    {
      "id": "flux",
      "name": "Flux",
      "description": "Default image generation model"
    },
    // ... other models
  ]
}

Running the Server

# Start the server
node server.js

Environment Requirements

• Node.js >= 16.0.0

• NPM >= 7.0.0

• Windows/Linux/MacOS compatible

Development

To contribute or modify the server:

1. Fork the repository

2. Create your feature branch

3. Make your changes

4. Submit a pull request

Error Handling

The server provides detailed error messages for common issues:

{
  "error": {
    "code": "ERROR_CODE",
    "message": "Human-readable error message",
    "details": { /* Additional error details */ }
  }
}

Examples

Basic Image Generation

// Generate an image URL
const response = await generateImageUrl({
  prompt: "A futuristic city at night",
  model: "flux",
  width: 1024,
  height: 1024
});

// Generate and save an image
const image = await generateImage({
  prompt: "A peaceful garden with butterflies",
  outputPath: "./images",
  fileName: "garden_scene"
});

Download Image Example

// Download an image from URL
const downloadResult = await downloadImage({
  imageUrl: "https://example.com/image.jpg",
  fileName: "downloaded-image",
  format: "png"
});

Support

For issues and feature requests, please create an issue in the repository or contact the developer:

• Email: [Your contact email]

• GitHub: [Your GitHub profile]

License

This project is licensed under the MIT License - see the LICENSE file for details.

Made with ❤️ by Falah.G.Salieh © 2025 All rights reserved