Use Kite Relaunch Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate relaunch time, success probability, and technique for kites in water.
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.
Complete set · 4 capabilities
The complete Kite Relaunch Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Kite Relaunch Estimator.
01-04
4 capabilities in this set.
Part of 4 available through Kite Relaunch Estimator.
- 01
Calculate lift potential
Determines the theoretical lift capability of the kite under current wind conditions
- 02
Analyze environmental impact
Evaluates how the water surface state affects the physical relaunch process
- 03
Estimate relaunch
Provides a comprehensive estimate of the time, success likelihood, and recommended approach for a specific relaunch scenario
- 04
Get technique guide
Suggests the best physical movement or sequence for the rider based on their profile and the kite state
One connector, every AI
Kite Relaunch Estimator 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Kite Relaunch Estimator 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
1196ms average. Fast in production.
Kite Relaunch Estimator is checked daily against the live service.
- Fastest day
- 1196ms
- Slowest day
- 1196ms
- 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 Kite Relaunch Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Kite Relaunch Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Kite Relaunch Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KcpB5GHqRTTdr4nEp4ocm0R8Cb7WBdgZBi78H2jN/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Kite Relaunch Estimator capabilities are ready to use.
{
"mcpServers": {
"kite-relaunch-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KcpB5GHqRTTdr4nEp4ocm0R8Cb7WBdgZBi78H2jN/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
FAQ
Questions Kite Relaunch Estimator owners ask.
- 01
How accurate are the relaunch estimates?
Estimates are based on a physical model accounting for kite geometry, wind speed, and water state. Using estimate_relaunch provides a calculated expectation of time and success.
- 02
Can I use this for different kite types?
Yes, the capabilities support both inflatable and foil kite architectures to ensure accurate lift and drag calculations.
- 03
Does it account for line tangles?
Yes, the estimate_relaunch capability specifically includes a parameter for line tangles, which significantly impacts the predicted time and success probability.
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