Use Snowboard Performance Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate effective edge length, edge hold force, and turn stability for snowboards.
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 Snowboard Performance Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Snowboard Performance Engine.
01-04
4 capabilities in this set.
Part of 4 available through Snowboard Performance Engine.
- 01
Calculate edge geometry
Determines the primary physical engagement metrics of the snowboard during a turn
- 02
Evaluate turn stability
Assesses the predictability and grip of the turn
- 03
Simulate snow interaction
Predicts how the edge will behave by combining geometry and environmental resistance
- 04
Calculate edge hold
Calculates the resistive force provided by the snow to prevent sliding
One connector, every AI
Snowboard Performance 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 Snowboard Performance 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 Snowboard Performance Engine, so you can see the experience inside your AI.
It does not authenticate your account with Snowboard Performance Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Snowboard Performance Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5IlRQrMyt5bR7VyJKPeXaa5Jcg4jEawPGO6o3IS8/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 — Snowboard Performance Engine capabilities are ready to use.
{
"mcpServers": {
"snowboard-effective-edge-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5IlRQrMyt5bR7VyJKPeXaa5Jcg4jEawPGO6o3IS8/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 Snowboard Performance Engine
FAQ
Questions Snowboard Performance Engine owners ask.
- 01
How do I calculate the total turn performance?
You can use the simulate_snow_interaction capability to perform a full simulation that combines geometry, hold force, and stability into a single result.
- 02
Can I calculate the specific force exerted by the snow?
Yes, use the calculate_edge_hold capability by providing the effective edge length, snow hardness, and rider weight.
- 03
What determines the stability of a turn?
Stability is assessed via evaluate_turn_stability, which considers effective edge length, board flex, snow hardness, and the turn angle.
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