mcp-gdx-image-webify
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-gdx-image-webifyConvert images in folder to WebP format, quality 75"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP-GDX-Image-Webify
Description
MCP-GDX-Image-Webify is an MCP Server (Stdio) based on Node.js and typescript, that allows you to convert images into the WebP or AVIF formats using the sharp library. It supports multiple image formats such as JPG, JPEG, PNG, WebP, TIFF, AVIF, GIF, and SVG. The tool allows you to specify the quality of the conversion and the output directory for the converted images. On result it shows original size, new size and saving.
Related MCP server: Image Worker MCP
Installation
Prerequisites
Install
Clone the repository:
git clone https://github.com/geckod22/MCP-GDX-Image-Webify.git
cd MCP-GDX-Image-WebifyInstall deps
npm installBuild
npm run buildMCP Client configuration
Just run:
npm run installToClientsthen follow the steps.
At the moment the script supports the following clients: Claude Desktop, Gemini Cli, Visual Code
{
"mcpServers": {
"chrome-devtools": {
"command": "node",
"args": ["your_path\\MCP-GDX-Image-Webify\\build\\index.js"]
}
}
}Follow the MCP install guide, and use the above general config.
Click the button to install:
Go to Cursor Settings -> MCP -> New MCP Server. Use the General config above.
Follow the MCP guide and use the standard config from above.
Your first prompt
Ex of usage. Open your project folder and run gemini cli, then Enter the following prompt to check if everything is working:
Convert the images in the current project images folder to webp with quality 80.Testing
Run the Inspector:
npx @modelcontextprotocol/inspector node build/index.jsContributing
Contributions are welcome! Feel free to open issues or submit pull requests to improve the project.
License
This project is licensed under the MIT License.
Credits
This project uses Sharp for high-performance image processing, licensed under the Apache License 2.0.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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