HRV Biofeedback Trainer

HRV Biofeedback Trainer MCP Connector for Claude

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Generates personalized HRV biofeedback training sessions to improve autonomic regulation.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to design personalized HRV biofeedback training sessions. By using get_session_plan, users can generate a complete roadmap including breathing rates and session structures. The server also includes validate_physiological_targets to ensure inputs are consistent, get_breathing_guidance for specific inhalation and exhalation timings, and calculate_progression_metrics to manage training load over time. It is designed to help users reach their target physiological state through resonance breathing techniques.

hrvbiofeedbackwellnesshealthautonomic

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

calculate_progression_metrics

Determines how much the training load should increase to reach the goal HRV

get_breathing_guidance

Provides specific breathing instructions based on the calculated target breathing rate

get_session_plan

Generates a complete training session roadmap based on user physiological targets

validate_physiological_targets

Ensures that the provided HRV and coherence metrics are physiologically plausible and logically consistent

See how to talk to your AI agent using HRV Biofeedback Trainer.

Create a 10-minute training session plan for a user with a current HRV of 45 and a goal HRV of 60, targeting a coherence level of 0.8.

Your 10-minute session plan is ready. The optimal breathing rate is 5.5 breaths per minute. The session includes a 2-minute warm-up, 6 minutes of active practice, and a 2-minute cool-down.

What are the breathing instructions for a target rate of 6 breaths per minute?

For a rate of 6 breaths per minute, you should inhale for 5 seconds and exhale for 5 seconds for a total of 60 cycles.

Check if my physiological targets are valid: current HRV 50, goal HRV 40.

The targets are invalid because the goal HRV must be higher than the current HRV for a progressive training model.

It is a technique that uses Heart Rate Variability (HRV) to help users regulate their autonomic nervous system through controlled breathing patterns.

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