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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.

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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

  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