A powerful MCP (Model Context Protocol) server that transforms images using simple text commands. Edit photos like a professional designer - just describe what you want in natural language!
Demo
Original Image
<img src="https://github.com/user-attachments/assets/a987b4c4-3bba-4a52-a2a8-9f088868d857" width="300"/>
Prompt: **add a coat to the dog**
<img src="https://github.com/user-attachments/assets/6de3cdd1-a3b9-422b-95dd-12e2172f6f1d" width="300"/>
Prompt: **Add a hat to it**
<img src="https://github.com/user-attachments/assets/047289ca-f3d0-4d16-acf7-09d5af641c68" width="300"/>
Features
**Image Generation**: Create images from text prompts using Google's Gemini models
**Image Modification**: Transform existing images based on text instructions
**Background Removal**: Remove backgrounds from images using the remove.bg API
**Image Hosting**: Share generated images via FreeImage.host
**Resource Management**: Track and manage generated and uploaded images
Requirements
Python 3.11 or higher
Required API keys:
- Google Gemini API key [Get key](https://aistudio.google.com/apikey)
- FreeImage.host API key [Get key](https://freeimage.host/page/api)
- Remove.bg API key [Get key](https://www.remove.bg/dashboard#api-key)
Installation
Clone this repository:
```sh
git https://github.com/Kira-Pgr/Image-Toolkit-MCP-Server.git
cd Image-Toolkit-MCP-Server
```
Install UV (if not already installed):
```sh
# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
# With pip.
pip install uv
```
Install dependencies using UV:
```sh
uv venv --python=python3.11
source .venv/bin/activate #or .venv/Scripts/activate on Windows
uv pip install -r requirements.txt
```
Usage
**Claude Desktop Integration**: Add the following configuration to your `claude_desktop_config.json` file to run the server directly from Claude Desktop:
```json
"PromptShopMCP": {
"command": "uv",
"args": [
"--directory",
"/project/dir/",
"run",
"mcp",
"run",
"/project/dir/server.py"
],
"env": {
"GEMINI_API_KEY": "key",
"FREEIMAGE_API_KEY": "key",
"REMOVEBG_API_KEY": "key"
}
}
```
Note: Replace the placeholder `"key"` values with your actual API keys.
**Cursor Integration**:
**Linux/macOS**:
Modify the `cursor.sh` file to set your API keys and project directory.
In cursor settings, go to the "MCP" tab, click on `Add new MCP server`,
Name the server whatever you want, and set the command to `sh /absolute/path/to/cursor.sh`.
Wait for the server to start, and you can see the server and available tools.
Then when you use the agent, it would automatically detect whether use the tools.
**Windows**:
Modify the `cursor.bat` file to set your API keys and project directory.
In cursor settings, go to the "MCP" tab, click on `Add new MCP server`,
Name the server whatever you want, and set the command to `cmd /c C:\absolute\path\to\cursor.bat`.
Wait for the server to start, and you can see the server and available tools.
Then when you use the agent, it would automatically detect whether use the tools.
Acknowledgements
[Google Gemini](https://aistudio.google.com/): For the image generation capabilities
[Remove.bg](https://www.remove.bg/): For background removal services
[FreeImage.host](https://freeimage.host/): For image hosting services
[MCP](https://modelcontextprotocol.io/introduction): For the Model Context Protocol