ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wind Lull Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict wind lull duration, minimum speeds, and recovery timing.

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 Wind Lull Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wind Lull Predictor.

  1. 01

    Validate forecast stability

    Is the current forecast stable enough to predict a reliable lull?

  2. 02

    Calculate lull metrics

    What is the expected duration, minimum speed, and recovery time for a lull based on current conditions?

  3. 03

    Compare location risk

    How does the risk of a wind lull change between two different locations?

  4. 04

    Estimate recovery window

    When will the wind return to normal after a lull begins?

One connector, every AI

Wind Lull 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.

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

You don't need a client to put Wind Lull 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.

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 Wind Lull Predictor, so you can see the experience inside your AI.

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

Wind Lull Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kswVstfL146MzEdHOX9Wt8GvcLQ6468a86lEFJEQ/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 — Wind Lull Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wind-lull-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kswVstfL146MzEdHOX9Wt8GvcLQ6468a86lEFJEQ/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Wind Lull Predictor owners ask.

  • 01

    How accurate are the lull predictions?

    Accuracy depends on the stability of the forecast. You can use validate_forecast_stability to check the confidence score for your specific conditions.

  • 02

    Can I compare different environments?

    Yes, the compare_location_risk capability allows you to see how the risk of a wind lull changes between two different location types.

  • 03

    What factors influence the recovery time?

    Recovery timing is heavily influenced by thermal cycle intensity and the specific location type, such as coastal or inland environments.