MCP For Claude Marketplace
Phone Addiction Risk Analyzer

Phone Addiction Risk Analyzer MCP Connector for Claude

A+

Quantifies smartphone dependency risk using validated behavioral metrics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides tools to assess smartphone addiction risk by analyzing usage patterns. It uses calculate_risk_score to evaluate daily pickups, screen time, social media intensity, and psychological indicators like phantom vibration syndrome. Users can also use get_category_details to understand risk levels or get_intervention_guide to receive actionable behavioral advice to reduce digital dependency.

wellnesssmartphoneaddictionbehaviordigital-health

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

get_category_details

Provides descriptive definitions and threshold information for the addiction categories

get_intervention_guide

Retrieves a list of specific behavioral interventions for a given risk level

calculate_risk_score

Generates a comprehensive addiction risk score and classification for a user

validate_usage_metrics

Checks if the provided usage data is physically and logically possible

See how to talk to your AI agent using Phone Addiction Risk Analyzer.

Calculate my phone addiction risk. I have 100 pickups, 300 minutes of screen time, 150 minutes on social media, a responsiveness of 8, and I do experience phantom vibrations.

Your addiction risk score is 75, which falls into the High Risk category. It is recommended that you set strict app limits and practice digital detox periods.

What are the details for the Moderate Risk category?

The Moderate Risk category represents noticeable interference with focus or sleep, with a score range of 30 to 59.

Give me some interventions for a Low Risk level.

For Low Risk, try hygiene strategies such as disabling non-essential notifications and keeping your phone away from your bed at night.

The score is calculated using `calculate_risk_score`, which weights daily pickups, screen time, social media usage, notification responsiveness, and the presence of phantom vibration syndrome.

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