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Connect Jump Height Estimation 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. Model kiteboarding flight paths and landing impacts with precision.

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 Jump Height Estimation.

  1. 01

    Estimate landing impact

    This capability evaluates the safety and intensity of a landing by analyzing the flight trajectory.

  2. 02

    Analyze lift efficiency

    Use this to see how much kite lift actually contributes to your total jump height.

  3. 03

    Calculate jump metrics

    This capability generates a complete flight profile based on your initial takeoff conditions.

  4. 04

    Compare jump scenarios

    This capability compares two different takeoff setups to determine which one results in a higher jump.

Real work

What teams actually run

01

Optimizing Takeoff

Compare two different takeoff angles to see which one maximizes your hang time.

02

Safety Planning

Check if a high-speed landing will result in an impact force that is too intense.

03

Performance Analysis

Determine how much your kite's lift is actually helping you stay in the air.

04

Flight Simulation

Input specific rider weights and kite speeds to get a full jump profile.

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.

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 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.

Observed, not estimated

944ms average. Fast in production.

Jump Height Estimation is checked daily against the live service.

Daily averagePeak 964ms
Oct 12Today
Fastest day
809ms
Slowest day
964ms
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 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.

Connector linkhttps://edge.vinkius.com/vk_preview_4N7WHrTPFOhRELJ2jjOSkCdVRcCOaYKT7Umrh4rQ/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 — Jump Height Estimation capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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? Set up Jump Height Estimation in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Jump Height Estimation owners hand off.

This MCP is for people who want to apply sports science to their kiteboarding performance.

  • 01

    Kiteboarders

    Use it to model jump height and landing safety before attempting new maneuvers.

  • 02

    Sports Scientists

    Hand off physics calculations to the agent to analyze lift efficiency and flight data.

  • 03

    Safety Instructors

    Use the landing impact capability to evaluate the risks of specific flight trajectories.

FAQ

Questions Jump Height Estimation owners ask.

  • 01

    What kind of physics does this MCP use?

    It uses projectile motion models that include kite-driven lift and aerodynamic drag.

  • 02

    Can I use this with Claude or Cursor?

    Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does it determine landing safety?

    The engine evaluates the landing intensity by analyzing the flight trajectory and the force of impact.

  • 04

    Does it account for rider weight?

    Yes, rider weight is a key variable used to calculate jump metrics and landing impact.

  • 05

    Can I compare different jump setups?

    Yes, you can use the comparison capability to see how different takeoff conditions change your jump results.

  • 06

    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.

  • 07

    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.

  • 08

    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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