Enables asking any question about image, audio, or video files, returning AI-powered answers via state-of-the-art multimodal models.
Perception is a lightweight Model Context Protocol (MCP) server designed to extend applications with advanced media analysis capabilities. It leverages cutting-edge multimodal AI models served through fal.ai, allowing users to effortlessly query and receive detailed, context-aware answers about the content within images, audio, and video files.
Key Features
01Query any image, audio, or video file for information
02Lightweight Model Context Protocol (MCP) server
03Utilizes fal.ai for efficient model serving
040 GitHub stars
05Powered by state-of-the-art multimodal AI models
06Seamless integration with Claude Desktop
Use Cases
01Integrating advanced media analysis into desktop applications like Claude Desktop
02Developing AI-powered tools that understand and respond to multimodal data
03Extracting specific information or insights from visual and auditory content
