Gemini Watermark Remover
Enables the removal of Gemini AI watermarks from generated images in PNG, JPG, and WEBP formats. The server provides tools to process local files with configurable output quality and compression settings.
README
Gemini Watermark Remove MCP Server
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!
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.