{"slug":"prasadabhishek/photographi-mcp","name":"photographi","description":"A local computer vision engine that lets AI agents understand the technical metrics of photographs","category":"productivity","tags":[],"official":false,"stars":5,"transport":"http","install":[{"cmd":"uvx photographi-mcp","imports":[]}],"tools":[{"name":"analyze_photo","description":"Full technical audit of sharpness, focus, and lighting for a single photo."},{"name":"analyze_folder","description":"Statistical summary identifying the best/worst image groups in a folder."},{"name":"rank_photographs","description":"Ranks files by technical perfection to find the 'hero' frame."},{"name":"cull_photographs","description":"Automatically cleans up failed shots into a subfolder."},{"name":"threshold_cull","description":"Binary sorting to isolate professional-grade assets using a score threshold."},{"name":"get_color_palette","description":"Extracts hexadecimal codes for dominant image aesthetics."},{"name":"get_folder_palettes","description":"Batch color extraction for an entire folder."},{"name":"get_scene_content","description":"Rapid content indexing based on 80+ object categories."}],"env_vars":[],"auth_type":"none","github":"https://github.com/prasadabhishek/photographi-mcp","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Thu May 28"}