What can this MCP calculate for snowboards?

It calculates effective edge length, edge hold force, and turn stability based on geometry and snow conditions.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

Do I need to host the physics engine myself?

No, Vinkius hosts and manages the MCP so it is ready to use once you connect.

Can I simulate different snow types?

Yes, the simulation capability combines board geometry with environmental resistance to predict behavior in various conditions.

How does it determine turn stability?

It assesses predictability and grip by looking at edge length, board stiffness, and the angle of the turn.

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.

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.

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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Connect Snowboard Effective Edge Calculator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Predict board behavior and edge grip in any snow condition.

Ask AI about this Connector

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Snowboard Performance Engine.

01
Calculate edge geometry
This capability determines the primary physical engagement metrics of the snowboard during a turn.
02
Calculate edge hold
This capability calculates the resistive force provided by the snow to prevent sliding.
03
Evaluate turn stability
This capability assesses how predictable and secure a turn will be.
04
Simulate snow interaction
This capability predicts edge behavior by combining geometry and environmental resistance.

Real work

What teams actually run

Product Development

Test how changing a sidecut affects edge engagement without building physical prototypes.

Rider Gear Matching

Determine if a specific board's edge hold will suit a rider's weight and the local snow conditions.

Technical Comparisons

Compare the stability of two different board geometries in hardpack snow.

Performance Prediction

Run simulations to see how a board will behave in varying snow penetration depths.

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.

Building 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.

Observed, not estimated

949ms average. Fast in production.

Snowboard Performance Engine is checked daily against the live service.

Daily averagePeak 1361ms

Oct 3Today

Fastest day: 784ms
Slowest day: 1361ms
14-day trend: Stable-1%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_5IlRQrMyt5bR7VyJKPeXaa5Jcg4jEawPGO6o3IS8/mcp

Claude 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.

Configuration · claude_desktop_config.jsonCopy

{
  "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? Set up Snowboard Performance Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Snowboard Performance Engine owners hand off.

This MCP is for professionals and enthusiasts who need to quantify snowboard physics. You can hand off raw board specs and snow data to your agent to get actionable performance metrics.

01
Snowboard Designers
Use the capability to test how sidecut changes affect edge hold before manufacturing.
02
Gear Reviewers
Hand off board specs to your agent to generate technical performance data.
03
Performance Analysts
Use the simulation capabilities to model how different riders interact with specific snow types.

FAQ

Questions Snowboard Performance Engine owners ask.

01
What can this MCP calculate for snowboards?
It calculates effective edge length, edge hold force, and turn stability based on geometry and snow conditions.
02
Which AI clients can use this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.
03
Do I need to host the physics engine myself?
No, Vinkius hosts and manages the MCP so it is ready to use once you connect.
04
Can I simulate different snow types?
Yes, the simulation capability combines board geometry with environmental resistance to predict behavior in various conditions.
05
How does it determine turn stability?
It assesses predictability and grip by looking at edge length, board stiffness, and the angle of the turn.
06
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.
07
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.
08
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.

Explore

More in Simulation

Connect Snowboard Performance Engine to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate edge geometry

Calculate edge hold

Evaluate turn stability

Simulate snow interaction

What teams actually run

Product Development

Rider Gear Matching

Technical Comparisons

Performance Prediction

Building your own app? The connector is yours to use.

Snowboard Performance Engine Connector

Claude Desktop

Snowboard Designers

Gear Reviewers

Performance Analysts

What can this MCP calculate for snowboards?

Which AI clients can use this MCP?

Do I need to host the physics engine myself?

Can I simulate different snow types?

How does it determine turn stability?

How do I calculate the total turn performance?

Can I calculate the specific force exerted by the snow?

What determines the stability of a turn?

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