PromptShopMCP

English | 中文

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
  • FreeImage.host API key Get key
  • Remove.bg API key Get key

Installation

1. Clone this repository:

   git https://github.com/Kira-Pgr/Image-Toolkit-MCP-Server.git
   cd Image-Toolkit-MCP-Server
   

2. Install UV (if not already installed):

   # 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
   

3. Install dependencies using UV:

   uv venv --python=python3.11
   source .venv/bin/activate #or .venv/Scripts/activate on Windows
   uv pip install -r requirements.txt
   

Usage

1. Claude Desktop Integration: Add the following configuration to your claude_desktop_config.json file to run the server directly from Claude Desktop:

   "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.
2. 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.
  <img width="1240" alt="image" src="https://github.com/user-attachments/assets/b41016fe-a0f8-4029-8f5d-82f25c606a65" />

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: For the image generation capabilities
• Remove.bg: For background removal services
• FreeImage.host: For image hosting services
• MCP: For the Model Context Protocol