Python Image Compression MCP

Example Use Cases

• 1

  Compress images or convert image formats locally with control over quality and resizing.

• 2

  Inspect detailed image metadata including EXIF, ICC profiles, and histograms.

• 3

  That require stable and deterministic batch image processing integrated with MCP desktop clients.

Description

This MCP server provides two main tools: compress_universal for compressing and converting images or batch processing directories, and get_image_info for inspecting image metadata at various detail levels. It is optimized for local desktop agents and coding tools, offering safe output behavior, stable batch processing, and fast compression using lightweight analysis. The server integrates with MCP desktop clients and supports easy installation and usage via the official MCP CLI and Python API.