Gimp MCP

🚀 GIMP-MCP: Integrating AI into GIMP via Model Context Protocol (MCP)

GIMP-MCP is a project aiming to integrate the Model Context Protocol (MCP) into the GNU Image Manipulation Program (GIMP), enabling users to directly leverage AI capabilities within GIMP. This integration allows users to utilize advanced AI during image editing, enhancing work efficiency through intelligent automation and context-aware operations.

Table of Contents

• Introduction
• Features
• Installation
  • Prerequisites
  • Setting up the MCP Server
  • Integrating MCP with GIMP
• Usage Examples
  • AI-powered Background Removal
  • Inpainting
• Human-Machine Interaction Prompts
• Available API Commands
• Contributing
• License
• Acknowledgments

Introduction

GIMP-MCP is a project dedicated to bringing AI capabilities to GIMP. Through the interfaces provided by MCP, users can directly invoke AI during image editing, achieving a more efficient and intelligent workflow.

✨ Features

• AI Integration: Supports various AI operations such as inpainting and style transfer.
• Automated Workflow: Enables automated image processing through API commands.
• Context-aware Operations: Utilizes models to understand image content and provides smarter editing functions.

📦 Installation

Prerequisites

1. Ensure Python and Python support for GIMP are installed.
2. Install the necessary dependencies (based on specific requirements).

Setting up the MCP Server

1. Clone the MCP repository:

   git clone https://github.com/modelcontextprotocol/servers.git
   

2. Navigate to the project directory and run the installation script:

   cd servers
   pip install -r requirements.txt
   

Integrating MCP with GIMP

1. Download and install the latest version of GIMP.
2. Launch GIMP and invoke MCP functions through plugins or the command line.

💻 Usage Examples

AI-powered Background Removal

1. Open the image file to be processed.
2. Invoke the AI model to remove the background:

   # Example code: Remove the background from the current layer
   gimp_edit_remove_background()
   

3. Save the processed image.

Inpainting

1. Load the image file to be inpainted.
2. Use the inpainting tool to perform inpainting operations on the image:

   # Example code: Inpaint a specified region
   gimp_inpaint_region(region_to_fix)
   

Human-Machine Interaction Prompts

Here are some typical examples of human-machine interaction:

• Style Transfer:
  Provide a target artistic style (e.g., "Van Gogh" or "Picasso"), and the AI will convert the image to the specified style.

• Object Recognition:
  Detect and label objects in the image for subsequent editing operations.

Available API Commands

Here are some GIMP Python API commands integrated via MCP:

• gimp_image_new: Create a new image.
• gimp_layer_new: Add a new layer to the image.
• gimp_text_layer_new: Create a new text layer.
• gimp_file_load: Load an image file.
• gimp_file_save: Save the current image to a file.
• gimp_edit_fill: Fill a selection or layer with a specified color.
• gimp_context_set_foreground: Set the foreground color.
• gimp_layer_set_offsets: Set the position of a layer in the image.

For more detailed information on these commands and their parameters, please refer to the GIMP Python API documentation.

Contributing

Contributions to enhance GIMP-MCP are welcome:

1. Create a code branch:

   git checkout -b feature/your-feature-name
   

2. Commit your changes:

   git commit -m "Add feature: your feature description"
   

3. Push to your repository:

   git push origin feature/your-feature-name
   

4. Submit a pull request to the main project.

📄 License

This project is released under the MIT License. For more details, please refer to the LICENSE file.

Acknowledgments

Thanks to all developers and researchers who have contributed to bringing AI capabilities to GIMP, making more advanced image editing techniques accessible.