GPT Image MCP Examples

Welcome to the visual showcase of GPT Image MCP capabilities! This collection demonstrates the power of AI-powered image generation and editing using the gpt-image-1 model.

Available Tools

🖼️ Image Generation

Create stunning images with advanced text rendering and precise instruction following.

View Image Generation Examples →

✨ Image Editing

Transform your images with AI-powered editing capabilities including inpainting, outpainting, and style transfer.

View Image Editing Examples →

🔄 Batch Processing

Process multiple images efficiently with parallel batch editing operations.

View Batch Processing Examples →

Quick Start

Get started with a simple image generation example:

// Example: Generate a logo with text
const result = await mcp.callTool("generate-image", {
  prompt:
    "A modern tech company logo with the text 'FUTURE AI' in sleek metallic letters",
  quality: "hd",
  aspect_ratio: "landscape",
  output_directory: "./logos",
});

Key Features

• Advanced Text Rendering: Crisp, legible typography and logos in images
• Superior Instruction Following: Inherits GPT-4o language understanding
• Native Transparency: Built-in transparent background support
• Multi-modal Editing: Text-to-image, image-to-image, inpainting, outpainting
• Batch Processing: Efficient parallel processing for multiple images

Getting Started

To use these examples in your project:

1. Install the MCP server
2. Configure your OpenAI API key
3. Set up the MCP client in your application
4. Start generating and editing images!

For detailed setup instructions, see the Getting Started Guide.