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Image Toolkit MCP Server

Image Toolkit MCP Server

Local
github.com/Kira-PgrDeveloper Tools18Updated 84w ago

About Image Toolkit MCP Server

Image Toolkit MCP Server lets Claude Desktop and Cursor users generate and edit images through natural-language instructions. It also supports background removal, image hosting, and management of generated and uploaded images.

Key features

  1. 01Generate images from text prompts
  2. 02Edit images with text instructions
  3. 03Remove image backgrounds
  4. 04Host images on FreeImage.host
  5. 05Manage generated and uploaded images

Use cases

  1. 01Create an image from a written description
  2. 02Modify a photo by describing changes
  3. 03Remove a photo background
  4. 04Track generated and uploaded images

MCP support

It exposes image generation, editing, background removal, hosting, and image management capabilities to MCP clients such as Claude Desktop and Cursor.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

PromptShopMCP

MCP Server

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
README image

Prompt: add a coat to the dog
README image

Prompt: Add a hat to it
README image

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. image

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

Comments

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