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Connect Wind Lull Predictor to ChatGPT, Claude and Gemini

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 wind drops and recovery windows with atmospheric modeling.

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 Wind Lull Predictor.

  1. 01

    Validate forecast stability

    This capability checks if the current forecast is stable enough to provide a reliable lull prediction. It returns a confidence score for the model.

  2. 02

    Calculate lull metrics

    This capability calculates the expected duration, minimum wind speed, and recovery time for a lull. It uses current atmospheric conditions to generate these metrics.

  3. 03

    Compare location risk

    This capability evaluates how the risk of a wind lull changes between two different environments. It helps you decide which location offers more consistent wind.

  4. 04

    Estimate recovery window

    This capability predicts when the wind will return to normal after a lull begins. It provides an estimated wait time and a probability of immediate recovery.

Real work

What teams actually run

01

Wind Turbine Maintenance

Plan repairs by predicting exactly when wind speeds will drop low enough to safely stop a turbine.

02

Site Selection

Compare the wind stability of two different sites to minimize downtime from lulls.

03

Operational Planning

Estimate how long a lull will last to manage crew schedules and equipment usage.

04

Real-time Monitoring

Check the stability of a current forecast during active wind events.

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.

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 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.

Observed, not estimated

936ms average. Fast in production.

Wind Lull Predictor is checked daily against the live service.

Daily averagePeak 1237ms
Oct 3Today
Fastest day
727ms
Slowest day
1237ms
14-day trend
Stable-4%

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? Set up Wind Lull Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Wind Lull Predictor owners hand off.

This MCP is built for professionals who depend on consistent wind speeds for operations. You can hand off atmospheric data to your agent to get precise timing for wind changes.

  • 01

    Wind Energy Technicians

    They use the MCP to time maintenance windows during predictable wind lulls.

  • 02

    Meteorologists

    They use the capability to refine local wind variability models.

  • 03

    Aviation Operators

    They use the recovery window estimates to plan flight windows in variable wind conditions.

FAQ

Questions Wind Lull Predictor owners ask.

  • 01

    What can this MCP predict regarding wind lulls?

    It predicts the duration of the lull, the minimum wind speeds expected, and the timing for when the wind will recover to normal.

  • 02

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 03

    How does the MCP determine if a forecast is reliable?

    It uses the validate_forecast_stability capability to check the stability of the current forecast and provides a confidence score.

  • 04

    Can I compare different wind environments?

    Yes, the compare_location_risk capability allows you to evaluate how lull risks differ between two locations.

  • 05

    Does this MCP require me to host anything?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

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