MCP For Claude Marketplace
Running Pace Equivalent

Running Pace Equivalent MCP Connector for Claude

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Predict equivalent race times and training zones using physiological performance models.

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

This MCP server connects AI agents to physiological running models to calculate race performance metrics. By providing a known race distance and time, you can use predict_equivalent_time to estimate your performance at different distances. You can also use get_training_zones to derive specific training paces like easy, threshold, and interval intensities based on your current fitness. Additionally, compare_performances helps determine the difference between your current training pace and a target race pace.

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

get_distance_constants

Returns the list of standard racing distances recognized by the system

compare_performances

Compares a target race pace against a current training pace

get_training_zones

Calculates training intensity zones based on a known race performance

predict_equivalent_time

Predicts equivalent race time for a target distance based on a known performance

See how to talk to your AI agent using Running Pace Equivalent.

If I ran a 5k in 25 minutes, what would my marathon time be?

Based on your 5k time, your predicted marathon time is 3:45:12 with a pace of 5:20 min/km.

What should my training paces be if I recently ran a 10k in 50 minutes?

Your training zones are: Easy pace 6:15 min/km, Threshold pace 5:10 min/km, and Interval pace 4:35 min/km.

My current training pace is 5:30 min/km. How does this compare to a target race pace of 5:00 min/km?

The target race pace is 30 seconds per km faster than your current training pace.

You can use the `get_distance_constants` tool to retrieve the full list of standard racing distances recognized by the system.

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