Workout Quality Index

Workout Quality Index MCP Connector for Claude

A+

Quantify and analyze the multidimensional quality of your training sessions.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a comprehensive system to evaluate physical training performance through four core pillars: RPE, Volume, Technique, and Mental Focus. By using get_workout_quality, you can calculate a holistic quality score and identify specific improvement areas. You can also use get_quality_trend to track performance over time, compare_session_to_baseline to see how a session deviates from your norms, and identify_bottlenecks to isolate the primary factor dragging down your session quality.

workoutfitness-trackingrpetraining-analysisperformance

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

compare_session_to_baseline

Determine how a single session's performance deviates from the user's established norms

get_quality_trend

Analyze how workout quality has changed over a specific period

get_workout_quality

Calculate the holistic quality score and detailed breakdown for a specific workout session

identify_bottlenecks

Isolate which specific pillar is most significantly dragging down the total quality index

See how to talk to your AI agent using Workout Quality Index.

Calculate my workout quality for a session with RPE 8, 5000kg volume, 90 technique score, and 85 focus score.

Your workout quality index is 88.5. Your technique and focus were excellent, effectively maximizing your volume.

How has my workout quality trended from 2024-01-01 to 2024-01-31?

Your workout quality has shown an upward trend with an average quality of 78 and low volatility.

Compare my current quality index of 75 to my baseline of 80.

Your session was Below Baseline, with a deviation of -5 points.

The index is a composite value derived from RPE, volume, technique quality, and mental focus. High technique and focus scores act as multipliers for the effective volume.

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