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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wave Count Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict wave counts, wait times, and optimal lineup positioning for surfing sessions.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Wave Count Predictor capability set.

These are the exact actions your AI can choose when you ask it to work with Wave Count Predictor.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wave Count Predictor.

  1. 01

    Analyze wait patterns

  2. 02

    Get session feasibility

  3. 03

    Predict wave metrics

  4. 04

    Recommend positioning

One connector, every AI

Wave Count Predictor 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 Wave Count Predictor 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

1067ms average. Fast in production.

Wave Count Predictor is checked daily against the live service.

Daily averagePeak 1067ms
Sep 15Today
Fastest day
1067ms
Slowest day
1067ms
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 Wave Count Predictor, so you can see the experience inside your AI.

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

Wave Count Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_VpXUnmXjelOaU647LkJAsgS2Q1q0dKT59LaL2LeU/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 — Wave Count Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wave-count-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VpXUnmXjelOaU647LkJAsgS2Q1q0dKT59LaL2LeU/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 Wave Count Predictor

See all the AI clients this connector works with ↑

FAQ

Questions Wave Count Predictor owners ask.

  • 01

    How accurate are the wave predictions?

    Predictions are based on the inputs provided, such as crowd level and wave consistency. Using predict_wave_metrics with accurate session data provides the most reliable estimates.

  • 02

    Can I use this to decide if I should go surfing?

    Yes, you can use the get_session_feasibility capability to determine if the predicted wave count and crowd levels make a session worthwhile.

  • 03

    How do I connect this to my AI client?

    You can connect via Vinkius Edge using your personal Connection Token. This works with Cursor, VS Code, Claude Desktop, Windsurf, and any MCP-compatible client.

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