Cycling Power to Speed Estimator

Cycling Power to Speed Estimator MCP Connector for Claude

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Converts cycling power output into estimated speed and performance metrics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a physics-based engine to translate cycling power into real-world performance expectations. By accounting for rider weight, bike weight, terrain grade, and wind conditions, it calculates precise metrics. Use get_estimated_speed to predict velocity, get_energy_expenditure to track kilojoules, get_time_to_distance to plan routes, and get_power_to_weight_metrics to analyze efficiency.

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

get_power_to_weight_metrics

Provides a breakdown of the power-to-weight efficiency for a specific setup

get_energy_expenditure

Determines the total energy consumed during a specific duration of effort

get_estimated_speed

Calculates the expected velocity for a given power output and environmental context

get_time_to_distance

Predicts how long it will take to cover a specific distance at a given power level

See how to talk to your AI agent using Cycling Power to Speed Estimator.

What is my estimated speed if I ride at 250 watts with a 75kg rider, 10kg bike, on a 3% grade with a 10km/h headwind?

Your estimated speed is 32.4 km/h.

How much energy will I spend riding at 200 watts for 30 minutes?

You will expend 60.0 kilojoules.

How long will it take to cover 20km at 200 watts on flat ground with no wind, given a 70kg rider and 8kg bike?

It will take approximately 35 minutes and 12 seconds to cover 20km.

The engine calculates speed by modeling gravity resistance, rolling resistance, and aerodynamic drag based on your power and environmental inputs.

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