TryOnfy is an AI virtual try-on platform that allows users to instantly preview how they would look in different clothes, hairstyles, hair colors, outfits, and makeup by simply uploading a photo. This Model Context Protocol (MCP) server provides programmatic access to TryOnfy's core functionalities, enabling seamless integration of virtual try-on features into other applications or AI models. It offers tools to list available features, retrieve direct try-on links, suggest features based on natural language queries, and access pricing information.
Características Principales
010 GitHub stars
02List all available virtual try-on features
03Get direct links for specific try-on features (e.g., clothes, hairstyles)
04Suggest try-on features based on natural language input
05Access current TryOnfy pricing plans
