Image Toolkit MCP Server

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Enables image generation and modification from text prompts using Google's Gemini models

  • Provides background removal functionality for images using the remove.bg API

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

Prompt: add a coat to the dog

Prompt: Add a hat to it

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: 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.

Acknowledgements

-
security - not tested
A
license - permissive license
-
quality - not tested

A server that provides AI-powered image generation, modification, and processing capabilities through the Model Context Protocol, leveraging Google Gemini models and other image services.

  1. Demo
    1. Features
      1. Requirements
        1. Installation
          1. Usage
            1. Acknowledgements