Use Cycling Physics Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Turn raw wattage into precise riding performance data.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Cycling Physics Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Cycling Physics Engine.
01-04
4 capabilities in this set.
Part of 4 available through Cycling Physics Engine.
- 01
Get energy expenditure
This capability calculates the total energy consumed during a specific duration of effort. It helps you track kilojoules spent over time.
- 02
Get estimated speed
This capability predicts your velocity based on power output and environmental factors. It factors in weight, grade, and wind.
- 03
Get power to weight metrics
This capability provides a breakdown of your power-to-weight efficiency. It analyzes how your specific setup performs.
- 04
Get time to distance
This capability predicts how long it will take to cover a specific distance. It uses your power level and the terrain to estimate arrival times.
One connector, every AI
Cycling Physics Engine works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Cycling Physics Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Cycling Physics Engine, so you can see the experience inside your AI.
It does not authenticate your account with Cycling Physics Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Cycling Physics Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_iiBQpVV0HMbG0r9s3pQsnhpOIohdnSxTtvEKizVI/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Cycling Physics Engine capabilities are ready to use.
{
"mcpServers": {
"cycling-power-to-speed-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_iiBQpVV0HMbG0r9s3pQsnhpOIohdnSxTtvEKizVI/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? How to give Claude access to Cycling Physics Engine
Who it's for
Built for the work Cycling Physics Engine owners hand off.
This is for cyclists and coaches who need mathematical precision for training and route planning.
- 01
Competitive Cyclists
They use the capability to predict how much time they will lose or gain on specific climbs.
- 02
Cycling Coaches
They hand off power and weight data to the AI to calculate energy expenditure for training plans.
- 03
Route Planners
They use the physics engine to estimate arrival times for long-distance rides.
FAQ
Questions Cycling Physics Engine owners ask.
- 01
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.
- 02
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.
- 03
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect and start using the capabilities.
- 04
Can I use this to plan my training energy?
Yes, you can use the energy expenditure capability to calculate the kilojoules you will burn during specific efforts.
- 05
Does it factor in wind speed?
Yes, the capability includes wind conditions in its calculations to provide more realistic speed predictions.
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