Gemini Watermark Remover

What is Gemini Watermark Remover?

Gemini Watermark Remover is an MCP server that removes Gemini AI watermarks from generated images. It provides a single tool, gemini_remove_watermark, for use in MCP-compatible clients like Claude Desktop and OpenCode.

How to use Gemini Watermark Remover?

Install and run via npx (npx -y gemini-watermark-remover-mcp) or build from source with Node.js >=22 and npm. Configure the gemini_remove_watermark tool by providing required parameters input_path and output_path, with optional settings for output format, JPEG/WebP quality, and PNG compression level.

Key features of Gemini Watermark Remover

• Removes Gemini AI watermark from images
• Supports PNG, JPG, and WEBP input formats
• Configurable output quality and compression
• Output can be markdown or JSON
• Runs locally via stdio transport
• Built on the gemini-watermark-remover library

Use cases of Gemini Watermark Remover

• Batch remove watermarks from Gemini-generated images
• Integrate watermark removal into automated image pipelines
• Clean up images before publishing or sharing

FAQ from Gemini Watermark Remover

What does the gemini_remove_watermark tool do?

It removes the Gemini AI watermark from a given image file and saves the cleaned result to a specified output path.

What are the system requirements?

Node.js version 22 or higher and npm are required. The server runs locally with no external dependencies.

How do I configure it for Claude Desktop?

Add a JSON entry to mcpServers with command npx and args ["-y", "gemini-watermark-remover-mcp"]. For local development, use node with the path to the built dist/index.js.

Which image formats are supported?

Input formats: PNG, JPG, WEBP. Output format matches input by default, with adjustable quality/compression settings.

Where is the server hosted and how does it authenticate?

The server runs locally on the user’s machine via stdio transport. No authentication or API keys are needed.