ML Task Router MCP Server

def run(user_data: dict = None): if not user_data: user_data = {} # Mock logic: recommend based on "level" key if it exists level = user_data.get("level", "beginner").lower() if level == "beginner": return {"recommendations": ["Yoga 101", "Intro to Breathwork"]} elif level == "intermediate": return {"recommendations": ["Dynamic Flow", "Core Stability"]} elif level == "advanced": return {"recommendations": ["Ashtanga Series", "Kundalini Intensive"]} else: return {"recommendations": ["General Wellness Track", "Meditation Basics"]}