Converts Figma frames into front-end code for various mobile frameworks.

mcp-image-compression
A high-performance image compression microservice based on MCP (Modal Context Protocol)
3 years
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mcp-image-compression
Project Overview
mcp-image-compression is a high-performance image compression microservice based on MCP (Modal Context Protocol) architecture. This service focuses on providing fast and high-quality image compression capabilities to help developers optimize image resources for websites and applications, improving loading speed and user experience.
Features
- Multi-format support: Compress mainstream image formats including JPEG, PNG, WebP, AVIF
- Offline Usage: No need to connect to the internet to use
- Smart compression: Automatically select optimal compression parameters based on image content
- Batch processing: Support parallel compression of multiple images for improved efficiency
- Quality control: Customizable compression quality to balance file size and visual quality
TOOLS
-
image_compression
- Image compression
- Inputs:
-
urls
(strings): URLs of images to compress -
quality
(int): Quality of compression (0-100) -
format
(string): Format of compressed image (e.g. "jpeg", "png", "webp", "avif")
-
- Returns: Compressed images url
Setup
NPX
{
"mcpServers": {
"Image compression": {
"command": "npx",
"args": [
"-y",
"@inhiblab-core/mcp-image-compression"
],
"env": {
"IMAGE_COMPRESSION_DOWNLOAD_DIR": "<YOUR_DIR>"
},
"disabled": false,
"autoApprove": []
}
}
}
Build
docker build -t mcp-image-compression .
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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Reviews

user_R56rEQ2c
I've been using mcp-image-compression by InhiblabCore for a while now, and I'm genuinely impressed! This tool significantly reduces image sizes without compromising on quality, making web development and storage management a breeze. Highly recommend checking it out on GitHub: https://github.com/InhiblabCore/mcp-image-compression. Great job, InhiblabCore!