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Connect Surfboard Rail Bite Calculator to ChatGPT and Claude

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 how your board engages the wave face.

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 Surfboard Rail Bite.

  1. 01

    Calculate max lean

    This capability finds the steepest angle a rider can lean toward the wave face before the rail loses engagement.

  2. 02

    Check drift threshold

    Use this to evaluate if current riding conditions will cause the board to slide sideways.

  3. 03

    Get rail hold force

    This capability calculates the lateral force produced when the rail engages with the water.

  4. 04

    Simulate rail engagement

    This provides a full performance overview for a specific board and rider setup.

Real work

What teams actually run

01

New Shape Testing

Test how a new rail profile handles speed and weight before cutting foam.

02

Stability Verification

Check if a board will hold its line during high-force turns.

03

Rider Setup Optimization

Adjust weight distribution in simulations to find better rail hold.

04

Drift Prevention

Run checks to ensure lateral forces won't exceed the board's hold capacity.

One connector, every AI

Surfboard Rail Bite 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 Surfboard Rail Bite 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

890ms average. Fast in production.

Surfboard Rail Bite is checked daily against the live service.

Daily averagePeak 1067ms
Oct 3Today
Fastest day
773ms
Slowest day
1067ms
14-day trend
Slowing+15%

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 Surfboard Rail Bite, so you can see the experience inside your AI.

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

Surfboard Rail Bite Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2m06jcYyla8QOAVTQ76BNYeVv7FtqvxX6nutGOHV/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 — Surfboard Rail Bite capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "surfboard-rail-bite-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2m06jcYyla8QOAVTQ76BNYeVv7FtqvxX6nutGOHV/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 Surfboard Rail Bite in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Surfboard Rail Bite owners hand off.

This MCP is designed for professionals working in surfboard design and hydrodynamic simulation.

  • 01

    Surfboard Designers

    They hand off rail shape and speed variables to the AI to test new designs.

  • 02

    Hydrodynamic Engineers

    They use the capabilities to quantify lateral forces and engagement thresholds.

  • 03

    Performance Coaches

    They analyze rider weight distribution and board speed to predict stability.

FAQ

Questions Surfboard Rail Bite owners ask.

  • 01

    What can this MCP calculate?

    It calculates rail hold force, maximum lean angles, and drift thresholds for surfboards.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    How does the drift threshold work?

    It evaluates if the lateral force applied will cause the board to slide sideways based on current conditions.

  • 04

    Do I need to host the MCP myself?

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

  • 05

    Can I simulate different rider weights?

    Yes, you can input weight distribution as a variable to see how it affects rail hold and lean angles.

  • 06

    How do I calculate the grip of my surfboard?

    You can use the get_rail_hold_force capability by providing the board speed, rail shape, wave face angle, and weight distribution.

  • 07

    Can I simulate a full riding scenario?

    Yes, the simulate_rail_engagement capability provides a comprehensive summary of hold force, max lean, and drift thresholds for your specific setup.

  • 08

    How is the drift threshold determined?

    The check_drift_threshold capability evaluates if the lateral force applied by the rider exceeds the total holding force provided by the rail and fins.

Explore

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