Use Kite Line Drag with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate hydrodynamic resistance and power losses for submerged kite tether lines.
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.
Complete set · 4 capabilities
The complete Kite Line Drag capability set.
These are the exact actions your AI can choose when you ask it to work with Kite Line Drag.
01-04
4 capabilities in this set.
Part of 4 available through Kite Line Drag.
- 01
Calculate drag force
Calculates the total resistance force exerted by the lines on the water flow
- 02
Compare material performance
Compares the drag characteristics of two different line materials for the same configuration
- 03
Estimate power loss
Determines how much energy is lost to drag relative to the system's potential energy capture
- 04
Evaluate efficiency impact
Provides a high-level assessment of how line drag affects the viability of the kite deployment
One connector, every AI
Kite Line Drag 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 Line Drag 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
1237ms average. Fast in production.
Kite Line Drag is checked daily against the live service.
- Fastest day
- 1237ms
- Slowest day
- 1237ms
- 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 Line Drag, so you can see the experience inside your AI.
It does not authenticate your account with Kite Line Drag. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Kite Line Drag Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_DYU9vQLPPIPFdnY6QBCB0pPcLs5WHdUsF2M1dUUO/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 Line Drag capabilities are ready to use.
{
"mcpServers": {
"kite-line-drag-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_DYU9vQLPPIPFdnY6QBCB0pPcLs5WHdUsF2M1dUUO/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 Line Drag owners ask.
- 01
How does the tangle factor affect the results?
The tangle factor acts as a multiplier that increases the effective resistance, simulating conditions where lines bunch together or overlap in the water flow.
- 02
Can I compare different line materials?
Yes, you can use compare_material_performance to see the drag difference and percentage improvement when switching between two different material coefficients.
- 03
What determines if a kite deployment is viable?
Viability is assessed using evaluate_efficiency_impact, which compares the calculated power loss against a user-defined design threshold.
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