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About mcp-image-compression

This server lets your AI assistant shrink and convert images directly on your computer. You provide image links, choose a format, and pick a quality level, and the tool processes everything locally to return smaller, ready-to-use files.

Tools (1)

image_compression

Image compression

urlsqualityformat

README

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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

  1. 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.