IQA-Server

kmamine/IQA-Server

3.1

If you are the rightful owner of IQA-Server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The IQA-Server is a Model Context Protocol (MCP) server designed for comprehensive image quality assessment using various metrics.

Tools

Functions exposed to the LLM to take actions

calculate_psnr

Calculates the Peak Signal-to-Noise Ratio between two images.

calculate_ssim

Evaluates the Structural Similarity Index between two images.

calculate_lpips

Assesses perceptual similarity using deep learning.

calculate_mse

Calculates the Mean Squared Error between two images.

get_image_stats

Provides detailed statistics for a single image.

comprehensive_assessment

Performs a comprehensive quality assessment between two images.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources