ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Snowboard Profile Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict snowboard performance metrics like float, edge grip, and terrain suitability based on rocker geometry.

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 Profile Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Snowboard Profile Engine.

  1. 01

    Evaluate edge stability

    Determines the reliability of the board's grip on hard surfaces

  2. 02

    Compare profiles

    Benchmarks two different profiles against one another

  3. 03

    Predict terrain suitability

    Maps the physical profile to specific mountain environments

  4. 04

    Analyze profile performance

    Calculates core performance metrics based on a specific geometry

One connector, every AI

Snowboard Profile 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 Profile 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

884ms average. Fast in production.

Snowboard Profile Engine is checked daily against the live service.

Daily averagePeak 884ms
Sep 14Today
Fastest day
884ms
Slowest day
884ms
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 Profile Engine, so you can see the experience inside your AI.

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

Snowboard Profile Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DMC0a8m8gkfpt7kkUZJ07zfyqUs3ZpWmSyan0bKl/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 Profile Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "snowboard-rocker-profile-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DMC0a8m8gkfpt7kkUZJ07zfyqUs3ZpWmSyan0bKl/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 Profile Engine

See all the AI clients this connector works with ↑

FAQ

Questions Snowboard Profile Engine owners ask.

  • 01

    How do I know if a profile is good for powder?

    You can use predict_terrain_suitability to see if a profile matches deep powder environments based on its rocker height and type.

  • 02

    Can I compare two different snowboard shapes?

    Yes, the compare_profiles capability allows you to benchmark two different profiles to see which has an advantage in specific metrics.

  • 03

    What metrics are calculated for performance?

    The analyze_profile_performance capability calculates the float factor, turn initiation ease, edge hold reduction, and a suitability score.