WebPerfect Image Optimizer

Example Use Cases

• 1

  Batch-process and optimize large collections of images into web-ready WebP files with automated enhancements and resizing.

• 2

  Integrate image optimization into an automated Claude workflow and retrieve processing logs and statistics programmatically.

• 3

  Generate thumbnails and multiple resolution outputs with consistent noise reduction, auto levels, and texture enhancement for responsive web apps.

Description

WebPerfect is a Node.js MCP server that automatically enhances and compresses images (including WebP conversion) using AI-inspired processing steps like noise reduction, auto levels/curves, texture enhancement, and smart resizing up to 4K. It supports batch processing of directories, exposes processing tools (process_images) and resources (logs, stats, presets) for integration with Claude via the MCP protocol. The project is distributed under an MIT license and is designed to be added to Claude's MCP servers for automated web optimization workflows.