MCP For Claude Marketplace
One-Rep Max Estimator

One-Rep Max Estimator MCP Connector for Claude

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Predict your maximum strength using multiple physiological models.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides precise strength forecasting by applying multiple mathematical models to your submaximal training data. Use get_estimated_1rm to calculate your predicted maximum weight based on the weight lifted, repetitions, and RPE. You can also use get_percentage_tables to generate training intensity charts, get_formula_comparison to evaluate model reliability, and get_confidence_interval to understand the statistical margin of error for your specific exercise type.

strength1rmfitnesstraininglifting

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

get_estimated_1rm

Calculates the predicted 1RM using multiple mathematical models

get_confidence_interval

Calculates the range within which the true 1RM likely falls

get_formula_comparison

Provides a qualitative comparison of the different models to show which one is most reliable

get_percentage_tables

Generates a breakdown of what various percentages of the estimated 1RM would look like in absolute weight

See how to talk to your AI agent using One-Rep Max Estimator.

I just did 5 reps of 100kg bench press at RPE 8. What is my estimated 1RM?

Your estimated 1RM for bench press is 120kg.

Show me a percentage table for a 200kg squat.

For a 200kg squat, your training weights are: 50%: 100kg, 60%: 120kg, 70%: 140kg, 75%: 150kg, 80%: 160kg, 85%: 170kg, 90%: 180kg, 95%: 190kg.

How much error should I expect for a 3 rep set of 150kg deadlift?

The estimated 1RM is 165kg with a confidence interval of 158kg to 172kg.

Accuracy depends on the number of repetitions performed. You can use `get_confidence_interval` to see the calculated margin of error for your specific set.

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