ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Snowboard Dampening Layers with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculates dampening layer effectiveness and ride stability for snowboard construction.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Snowboard Dampening Layers capability set.

These are the exact actions your AI can choose when you ask it to work with Snowboard Dampening Layers.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Snowboard Dampening Layers.

  1. 01

    Chatter threshold

    Predicts the speed at which the snowboard will begin to experience unstable chatter

  2. 02

    Optimize layer placement

    Evaluates how moving a dampening layer within the board stack affects performance

  3. 03

    Ride smoothness

    Provides a qualitative score for the riding experience at a specific speed

  4. 04

    Vibration reduction

    Determines how much vibration energy is absorbed by a specific material and thickness

One connector, every AI

Snowboard Dampening Layers 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 Dampening Layers 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

965ms average. Fast in production.

Snowboard Dampening Layers is checked daily against the live service.

Daily averagePeak 965ms
Sep 14Today
Fastest day
965ms
Slowest day
965ms
14-day trend
Stable0%

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 Dampening Layers, so you can see the experience inside your AI.

It does not authenticate your account with Snowboard Dampening Layers. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Snowboard Dampening Layers Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_M1r6hcslBdTDMlF7pK48bEHqus2x4gf8jCJct7nt/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Snowboard Dampening Layers capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "snowboard-dampening-layers-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_M1r6hcslBdTDMlF7pK48bEHqus2x4gf8jCJct7nt/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 Dampening Layers

See all the AI clients this connector works with ↑

FAQ

Questions Snowboard Dampening Layers owners ask.

  • 01

    How do I calculate the vibration reduction for a new material?

    You can use the vibration_reduction capability by providing the material's loss factor and stiffness as a JSON string, along with the layer thickness and target frequency.

  • 02

    What determines the ride smoothness score?

    The score is determined by the ride_smoothness capability, which evaluates the vibration reduction percentage against the current riding speed and the calculated chatter threshold.

  • 03

    Can I optimize where the dampening layer is placed in the board?

    Yes, the optimize_layer_placement capability allows you to evaluate how different stack depths affect the effectiveness factor for a specific vibration frequency.