What can this MCP calculate?

It calculates friction force, efficiency loss, steering delay, and environmental degradation for kite bridle systems.

How does it handle environmental factors?

The estimate_environmental_degradation capability predicts additional friction caused by things like salt buildup or mechanical wear.

Can I use this to test steering commands?

Yes, the simulate_steering_response capability checks if a specific command will work given the current friction.

Does it include bearing data?

Yes, you can use get_bearing_properties to find the friction coefficient for specific bearing types.

Which clients can use this MCP?

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

How do I calculate the impact of salt buildup on my pulley?

You can use the estimate_environmental_degradation capability. Provide the initial friction force and the salt accumulation level to find the additional friction force caused by salt buildup.

Can I check if my kite will respond to a steering command?

Yes, use simulate_steering_response by providing the applied control force and the total friction force to see if movement is possible and estimate latency.

What bearing types are supported?

The system supports ball, bush, and ceramic bearings. You can use get_bearing_properties to retrieve the specific friction coefficient for each type.

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Connect Kite Bridle Pulley Friction Engine to your AI

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 steering response and mechanical efficiency loss.

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.

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.

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 Kite Friction Engine.

01
Estimate environmental degradation
Use this to predict how much additional friction will be added due to external factors like salt or wear.
02
Get bearing properties
This capability retrieves the specific friction coefficient for a given bearing type.
03
Simulate steering response
This capability determines if a specific steering command will succeed based on the current friction state.
04
Calculate friction impact
This capability calculates the immediate physical forces and efficiency metrics for a single pulley setup.

Real work

What teams actually run

System Design Validation

Test if a new pulley arrangement provides enough efficiency for a specific load.

Maintenance Planning

Estimate when salt accumulation will make steering too difficult to manage.

Component Selection

Compare different bearing types to see how they impact total friction.

Control Logic Testing

Simulate whether a control force is sufficient to overcome mechanical resistance.

One connector, every AI

Kite Friction Engine 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.

Building your own app? The connector is yours to use.

You don't need a client to put Kite Friction Engine 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

1007ms average. Fast in production.

Kite Friction Engine is checked daily against the live service.

Daily averagePeak 1007ms

Oct 14Today

Fastest day: 934ms
Slowest day: 1007ms
14-day trend: Slowing+5%

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 Friction Engine, so you can see the experience inside your AI.

It does not authenticate your account with Kite Friction Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Kite Friction Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ooi3jQKX4ITGEADu1XZ1am0paqN2MFi9LaiZqGK6/mcp

Claude 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 Friction Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "kite-bridle-pulley-friction-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ooi3jQKX4ITGEADu1XZ1am0paqN2MFi9LaiZqGK6/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 Kite Friction Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Kite Friction Engine owners hand off.

This MCP is built for engineers and kite designers who need to quantify mechanical drag in bridle systems.

01
Kite Engineers
Hand off pulley configuration data to the AI to get efficiency metrics.
02
Mechanical Designers
Use the engine to simulate steering response before building hardware.
03
Aerospace Researchers
Apply the friction and degradation models to kite-based flight systems.

FAQ

Questions Kite Friction Engine owners ask.

01
What can this MCP calculate?
It calculates friction force, efficiency loss, steering delay, and environmental degradation for kite bridle systems.
02
How does it handle environmental factors?
The estimate_environmental_degradation capability predicts additional friction caused by things like salt buildup or mechanical wear.
03
Can I use this to test steering commands?
Yes, the simulate_steering_response capability checks if a specific command will work given the current friction.
04
Does it include bearing data?
Yes, you can use get_bearing_properties to find the friction coefficient for specific bearing types.
05
Which clients can use this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.
06
How do I calculate the impact of salt buildup on my pulley?
You can use the estimate_environmental_degradation capability. Provide the initial friction force and the salt accumulation level to find the additional friction force caused by salt buildup.
07
Can I check if my kite will respond to a steering command?
Yes, use simulate_steering_response by providing the applied control force and the total friction force to see if movement is possible and estimate latency.
08
What bearing types are supported?
The system supports ball, bush, and ceramic bearings. You can use get_bearing_properties to retrieve the specific friction coefficient for each type.

Explore

More in Engineering

Connect Kite Friction Engine to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Estimate environmental degradation

Get bearing properties

Simulate steering response

Calculate friction impact

What teams actually run

System Design Validation

Maintenance Planning

Component Selection

Control Logic Testing

Building your own app? The connector is yours to use.

Kite Friction Engine Connector

Claude Desktop

Kite Engineers

Mechanical Designers

Aerospace Researchers

What can this MCP calculate?

How does it handle environmental factors?

Can I use this to test steering commands?

Does it include bearing data?

Which clients can use this MCP?

How do I calculate the impact of salt buildup on my pulley?

Can I check if my kite will respond to a steering command?

What bearing types are supported?

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