Resting Heart Rate Assessment

Resting Heart Rate Assessment MCP Connector for Claude

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Analyze cardiovascular health and fitness trends using resting heart rate data.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deep insights into cardiovascular health by analyzing resting heart rate (RHR). It calculates percentile rankings, fitness indicators, and training recommendations while accounting for age, gender, and medical factors like beta-blocker use. Use get_rhr_status for a primary health assessment, get_fitness_trend to track improvements, get_training_recommendations for actionable advice, and get_comparative_percentile to see how you rank against specific demographics.

heart-ratecardiohealth-trackingfitness-assessmentwellness-data

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

get_comparative_percentile

Calculates how the user's RHR compares to a specific demographic subset

get_fitness_trend

Analyzes how the current RHR compares to a provided historical RHR to determine trends

get_training_recommendations

Provides actionable training advice based on the current cardiovascular status

get_rhr_status

Provides a primary health assessment of the user's current RHR

See how to talk to your AI agent using Resting Heart Rate Assessment.

My resting heart rate is 55, I am 30 years old, male, and an athlete. I am not on any medication. What is my status?

Your cardiovascular fitness is Excellent, placing you in the top percentile for your age and gender.

I am 45, female, sedentary, and I take beta-blockers. My RHR is 62. How should I train?

Given your medication, focus on gradual zone 2 training to build a steady aerobic base safely.

My RHR was 65 last month and it is 60 today. What does this mean?

Your cardiovascular efficiency is improving.

Beta-blockers can artificially lower your heart rate. The `get_rhr_status` tool detects this and adjusts the fitness indicator to ensure your cardiovascular capacity isn't misinterpreted.

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