Use Jump Height Estimation with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Physics engine for kiteboarding jump metrics.
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 Jump Height Estimation capability set.
These are the exact actions your AI can choose when you ask it to work with Jump Height Estimation.
01-04
4 capabilities in this set.
Part of 4 available through Jump Height Estimation.
- 01
Analyze lift efficiency
Determines how much of the jump's height is attributed to kite lift versus pure projectile motion
- 02
Calculate jump metrics
Provides a full profile of the jump based on the initial takeoff conditions
- 03
Compare jump scenarios
Compares two different sets of takeoff conditions to see which yields a higher jump
- 04
Estimate landing impact
Evaluates the safety/intensity of the landing based on the flight trajectory
One connector, every AI
Jump Height Estimation 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 Jump Height Estimation 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 Jump Height Estimation, so you can see the experience inside your AI.
It does not authenticate your account with Jump Height Estimation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Jump Height Estimation Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_4N7WHrTPFOhRELJ2jjOSkCdVRcCOaYKT7Umrh4rQ/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 — Jump Height Estimation capabilities are ready to use.
{
"mcpServers": {
"jump-height-estimation-mcp": {
"url": "https://edge.vinkius.com/vk_preview_4N7WHrTPFOhRELJ2jjOSkCdVRcCOaYKT7Umrh4rQ/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 Jump Height Estimation owners ask.
- 01
What data is needed for a jump calculation?
You need to provide the kite speed, rider weight, takeoff angle, and the relative vertical position of the kite.
- 02
How does the engine account for the kite?
The engine uses analyze_lift_efficiency logic to model how kite lift counters gravity and extends hang time.
- 03
Can I compare two different jumps?
Yes, you can use compare_jump_scenarios to see which set of takeoff conditions results in a higher maximum height.
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