Digital Wellness Score

Digital Wellness Score MCP Connector for Claude

A+

Analyze screen time data to assess digital health and addiction risk.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server transforms raw screen activity into actionable wellness metrics. It analyzes usage patterns to calculate an overall health score, identify addiction risks, and provide personalized recommendations. Use get_overall_wellness for a high-level summary, get_category_breakdown to see time distribution, assess_addiction_risk to evaluate compulsive usage, and get_personalized_recommendations for specific tips to improve your digital habits.

wellnessscreen-timedigital-healthaddiction-riskproductivity

4 tools expose this connector's capabilities to your AI agent.

assess_addiction_risk

Specifically evaluates the likelihood of compulsive device usage

get_category_breakdown

Detailed analysis of how time is distributed across different digital activities

get_overall_wellness

Provides a high-level summary of the user's current digital health status

get_personalized_recommendations

Generates actionable advice to improve digital wellness based on user behavior

See how to talk to your AI agent using Digital Wellness Score.

What is my current digital health status based on 300 minutes of screen time, 50 pickups, and 20 minutes of bedtime use?

Your current health status is Healthy, with an overall wellness score of 75/100.

Show me the breakdown of my screen time usage.

You spent 60% of your time in Productive categories and 40% in Leisure categories.

Am I at risk of digital addiction?

Your addiction risk level is Low, as your pickups are well-distributed throughout the day.

The score balances productive time against interruptions like high pickup frequency, notification volume, and usage during sleep hours.

Related Connectors