# Cycling Power to Speed Estimator AI Agent Connect

> Cycling Power to Speed Estimator MCP uses a physics-based engine to translate your power output into real-world speed and performance expectations. It accounts for rider weight, bike weight, terrain grade, and wind conditions to give you accurate predictions for your rides.

## Overview
- **Category:** fitness
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_iiBQpVV0HMbG0r9s3pQsnhpOIohdnSxTtvEKizVI/ai-agent-connect
- **Tags:** cycling, power, speed, physics, training

## Description

Stop guessing how much speed you'll actually get from a specific wattage. This MCP uses physics to bridge the gap between your power meter and the road. You can give your AI client specific details like your weight, the bike you're riding, the steepness of a climb, and even the wind direction to get highly accurate estimates. It's built for anyone who needs to know exactly what a certain effort will look like in the real world. Whether you're planning a route or analyzing how much energy a specific interval will cost you, this tool handles the math. You provide the environmental context and the power numbers, and your agent does the heavy lifting to calculate velocity, energy expenditure, and time to distance.

## Tools

### get_energy_expenditure
This tool calculates the total energy consumed during a specific duration of effort. It helps you track kilojoules spent over time.

### get_estimated_speed
This tool predicts your velocity based on power output and environmental factors. It factors in weight, grade, and wind.

### get_power_to_weight_metrics
This tool provides a breakdown of your power-to-weight efficiency. It analyzes how your specific setup performs.

### get_time_to_distance
This tool predicts how long it will take to cover a specific distance. It uses your power level and the terrain to estimate arrival times.

## Prompt Examples

**Prompt:** 
```
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?
```

**Response:** 
```
Your estimated speed is 32.4 km/h.
```

**Prompt:** 
```
How much energy will I spend riding at 200 watts for 30 minutes?
```

**Response:** 
```
You will expend 60.0 kilojoules.
```

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

**Response:** 
```
It will take approximately 35 minutes and 12 seconds to cover 20km.
```

## Capabilities

### Velocity Prediction
Your agent uses environmental data to estimate how fast you will move at a specific wattage.

### Energy Tracking
The AI calculates total kilojoules burned based on your power and duration.

### Route Planning
Your agent determines the time required to finish a segment based on your power output.

### Efficiency Analysis
The tool breaks down power-to-weight ratios for your specific rider and bike setup.

## Use Cases

### Climb Preparation
Calculate how much your speed will drop on a steep grade at a steady power output.

### Energy Management
Estimate the kilojoules required for a specific interval to avoid premature fatigue.

### Time Estimation
Determine how long a 50km ride will take given your current power and the wind conditions.

### Equipment Testing
Compare how different bike weights affect your power-to-weight efficiency.

## Benefits

- Accounts for wind, grade, and weight in every calculation.
- Converts watts into understandable speed and time metrics.
- Provides a physics-based approach rather than simple averages.
- Works directly within your existing AI chat interface.

## How It Works

Connecting to this MCP gives your AI client immediate access to a cycling physics engine.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Provide your rider weight, bike weight, and power target to your agent.
3. Include environmental details like wind and road grade.
4. The agent runs the physics calculations through the MCP.
5. Receive precise speed, time, or energy data in your chat.

## Frequently Asked Questions

**How accurate are the speed estimates?**
The estimates are based on a physics engine that accounts for rider weight, bike weight, terrain grade, and wind conditions.

**Which AI clients can I use with this MCP?**
You can use this MCP with any compatible client including Claude, Cursor, Windsurf, and VS Code.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect and start using the tools.

**Can I use this to plan my training energy?**
Yes, you can use the energy expenditure tool to calculate the kilojoules you will burn during specific efforts.

**Does it factor in wind speed?**
Yes, the tool includes wind conditions in its calculations to provide more realistic speed predictions.