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Connect Snowboard Edge Maintenance Diagnostic 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. Keep your edges sharp and your rides predictable.

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

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.

A futuristic MCP client docking bay
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 Edge Diagnostic.

  1. 01

    Analyze edge wear

    This capability evaluates your current edge health. It checks how base damage and edge angles are impacting your board's performance.

  2. 02

    Calculate maintenance plan

    This capability generates a maintenance schedule. It uses your riding hours and snow conditions to suggest sharpening frequency and edge profiles.

  3. 03

    Estimate edge lifespan

    This capability predicts your remaining riding time. It calculates how many more hours you can ride before the edge becomes unusable.

  4. 04

    Get detune recommendation

    This capability provides detuning advice for freestyle riders. It identifies the specific zones where you should reduce edge sharpness to avoid catching rails.

Real work

What teams actually run

01

Park Riding Prep

Get specific detuning recommendations to stop catching edges on rails.

02

Icy Condition Planning

Determine how often to sharpen when riding in hard, icy snow.

03

End of Season Check

Estimate how many sessions you have left before your edges are completely worn out.

04

Maintenance Scheduling

Build a custom sharpening plan based on your specific riding hours.

One connector, every AI

Snowboard Edge Diagnostic 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Snowboard Edge Diagnostic 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

880ms average. Fast in production.

Snowboard Edge Diagnostic is checked daily against the live service.

Daily averagePeak 1067ms
Oct 3Today
Fastest day
740ms
Slowest day
1067ms
14-day trend
Improving-11%

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 Edge Diagnostic, so you can see the experience inside your AI.

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

Snowboard Edge Diagnostic Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_f4OK9KUiEJ155oNmVxXqdpo5x5oeuM4Jsp2mGgCF/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 Edge Diagnostic capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "snowboard-edge-maintenance-diagnostic-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_f4OK9KUiEJ155oNmVxXqdpo5x5oeuM4Jsp2mGgCF/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 Edge Diagnostic in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Snowboard Edge Diagnostic owners hand off.

This MCP is for anyone who wants to manage snowboard edge longevity through data. It's built for riders who want to avoid gear failure mid-season.

  • 01

    Freestyle Riders

    They hand off rail-catching concerns to the AI to get specific detuning zones.

  • 02

    Backcountry Riders

    They use the capability to plan maintenance around specific snow conditions and riding hours.

  • 03

    Gear Enthusiasts

    They use the diagnostic data to track the lifespan of their equipment over a season.

FAQ

Questions Snowboard Edge Diagnostic owners ask.

  • 01

    How does the MCP help with freestyle riding?

    It provides specific detune recommendations for the tip and tail zones to help you avoid catching edges on rails.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    Does it account for different snow types?

    Yes, the maintenance plan calculation uses the specific snow type you provide to determine sharpening frequency.

  • 04

    How accurate is the edge lifespan estimate?

    The estimate is based on your current wear level and the snow conditions you report.

  • 05

    Do I need to install anything on my computer?

    No, Vinkius hosts the MCP, so you just connect your client and it is ready to use.

  • 06

    How do I know when to sharpen my edges?

    You can use the calculate_maintenance_plan capability to receive a specific sharpening frequency recommendation based on your riding hours and the snow conditions you encounter.

  • 07

    What is detuning and why do I need it?

    Detuning involves slightly dulling specific parts of the edge to prevent catching on metal features. Use get_detune_recommendation to find the ideal zones for park riding.

  • 08

    Does base damage affect my edge performance?

    Yes. You can use analyze_edge_wear to see how base damage acts as a multiplier for edge wear, as a damaged base fails to support the edge during turns.

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