PromptShopMCP
by Kira-Pgr
PromptShopMCP is a powerful MCP server that transforms images using simple text commands. It allows users to edit photos by describing desired changes in natural language.
Last updated: N/A
PromptShopMCP
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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:
Installation
-
Clone this repository:
git https://github.com/Kira-Pgr/Image-Toolkit-MCP-Server.git cd Image-Toolkit-MCP-Server
-
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
-
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
- Claude Desktop Integration: Add the following configuration to your
claude_desktop_config.json
file to run the server directly from Claude Desktop:
Note: Replace the placeholder"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" } }
"key"
values with your actual API keys. - Cursor Integration:
Linux/macOS: Modify thecursor.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