Gemini Watermark Remover

MCP server for removing Gemini AI watermarks from generated images.

Local Stdio Mode

[!CAUTION]

Due to sharp compilation limitations, if you are on Linux or MacOS, it is recommended to globally install it so that it can run properly.

npm install -g gemini-watermark-remover-mcp

Claude Desktop

{
  "mcpServers": {
    "gemini-watermark-remove": {
      "command": "npx",
      "args": ["-y", "gemini-watermark-remover-mcp"]
    }
  }
}

OpenCode

{
  "mcp": {
    "gemini-watermark-remove": {
      "command": ["npx", "-y", "gemini-watermark-remover-mcp"],
      "type": "local",
      "enabled": true
    }
  }
}

Development

Prerequisites

• Node.js >= 22
• npm

Installation

# Clone or download the project
cd gemini-watermark-remover-mcp

# Install dependencies
npm install

# Build the project
npm run build

Running

Development mode (hot reload):

npm run dev

Production mode:

npm start
# or
node dist/index.js

Local Development Debug Config

For debugging after modifying source code, you can use the locally built version:

Claude Desktop:

{
  "mcpServers": {
    "gemini-watermark-remove": {
      "command": "node",
      "args": ["/path/to/gemini-watermark-remover-mcp/dist/index.js"]
    }
  }
}

MCP Tool Usage

gemini_remove_watermark

Removes the Gemini AI watermark from generated images.

Parameters:

Parameter	Type	Required	Default	Description
input_path	string	Yes	-	Input image path (PNG, JPG, WEBP)
output_path	string	Yes	-	Output image path
response_format	string	No	markdown	Output format: markdown or json
jpeg_quality	number	No	95	JPEG quality (1-100)
webp_quality	number	No	80	WEBP quality (1-100)
png_compression_level	number	No	6	PNG compression level (0-9)

License

This project is licensed under the MIT License

Acknowledgments

This project is based on journey-ad/gemini-watermark-remover.

Thanks for the original implementation!