ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Surfboard Rail Design with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze surfboard rail geometry, hydrodynamics, and wave compatibility.

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 Surfboard Rail Design capability set.

These are the exact actions your AI can choose when you ask it to work with Surfboard Rail Design.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Surfboard Rail Design.

  1. 01

    Get rail recommendation

    Suggests the optimal rail profile based on primary design inputs

  2. 02

    Analyze performance metrics

    Quantifies the hydrodynamics of a specific rail configuration

  3. 03

    Check wave compatibility

    Determines which wave conditions a specific rail design is best suited for

  4. 04

    Simulate rail transition

    Evaluates how the rail transitions from the nose to the tail

One connector, every AI

Surfboard Rail Design 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 Surfboard Rail Design 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

1460ms average. Fast in production.

Surfboard Rail Design is checked daily against the live service.

Daily averagePeak 1460ms
Sep 15Today
Fastest day
1460ms
Slowest day
1460ms
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 Surfboard Rail Design, so you can see the experience inside your AI.

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

Surfboard Rail Design Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Nnl38uiffJNBIyqEFOAnpGZJH6FgfzGKQrp8QwHy/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 Design capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "surfboard-rail-design-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Nnl38uiffJNBIyqEFOAnpGZJH6FgfzGKQrp8QwHy/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 Surfboard Rail Design

See all the AI clients this connector works with ↑

FAQ

Questions Surfboard Rail Design owners ask.

  • 01

    How do I get a rail profile recommendation?

    Use the get_rail_recommendation capability by providing the rail volume, edge type, and the intended board purpose.

  • 02

    Can I predict how a rail will perform in different waves?

    Yes, the check_wave_compatibility capability determines the ideal wave type and energy for your specific rail design.

  • 03

    What metrics are provided for rail performance?

    The analyze_performance_metrics capability provides data on drag coefficient, hold rating, lift potential, and stability index.