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Connect Landing Distance Table Interpolator 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. Get precise landing performance calculations through multidimensional interpolation.

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 Landing Distance Interpolator.

  1. 01

    Get performance bounds

    Retrieves the valid operational ranges for a specific aircraft configuration. Use this to ensure your inputs stay within safe limits.

  2. 02

    Interpolate landing distance

    Performs the core landing distance calculation. It interpolates across performance tables using your provided variables.

  3. 03

    Summarize performance gap

    Analyzes the relationship between your calculated distance and the available runway length. It identifies how much margin you actually have.

  4. 04

    Validate runway conditions

    Checks if your environmental and runway parameters are compatible with operational limits. It flags invalid or unsafe configurations.

Real work

What teams actually run

01

Runway Suitability Checks

Verify if a specific runway can accommodate an aircraft based on current weight and weather.

02

Performance Modeling

Calculate how changes in temperature or altitude affect total landing distance.

03

Safety Margin Verification

Determine the exact margin between required landing distance and available runway length.

04

Configuration Validation

Ensure that chosen aircraft configurations stay within valid operational weight and temperature bounds.

One connector, every AI

Landing Distance Interpolator 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 Landing Distance Interpolator 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

990ms average. Fast in production.

Landing Distance Interpolator is checked daily against the live service.

Daily averagePeak 994ms
Oct 15Today
Fastest day
927ms
Slowest day
994ms
14-day trend
Slowing+7%

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 Landing Distance Interpolator, so you can see the experience inside your AI.

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

Landing Distance Interpolator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_54grM7y8Uf1wHQQVOxrIfTp6oTvGJzZhNzn3nGzI/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 — Landing Distance Interpolator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "landing-distance-table-interpolator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_54grM7y8Uf1wHQQVOxrIfTp6oTvGJzZhNzn3nGzI/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 Landing Distance Interpolator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Landing Distance Interpolator owners hand off.

This MCP is designed for professionals working with aircraft performance and flight safety calculations.

  • 01

    Flight Dispatchers

    They hand off runway suitability checks and distance calculations to the AI.

  • 02

    Aviation Engineers

    They use the interpolation engine to model aircraft performance under various conditions.

  • 03

    Flight Safety Officers

    They rely on the capability to validate operational limits and safety margins.

FAQ

Questions Landing Distance Interpolator owners ask.

  • 01

    What variables does the landing distance calculation use?

    The engine uses weight, pressure altitude, temperature, wind, runway slope, surface type, aircraft configuration, and braking conditions.

  • 02

    Can I check if a runway is long enough for my aircraft?

    Yes, you can use the capability to analyze the relationship between calculated distance and available runway length to find your safety margin.

  • 03

    How does this MCP handle different aircraft configurations?

    You can use the get_performance_bounds capability to find the specific weight and temperature ranges allowed for any given configuration.

  • 04

    Does it provide a breakdown of the landing distance?

    Yes, the calculations provide both the airborne component and the ground component of the total distance.

  • 05

    What clients can I use with this MCP?

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

  • 06

    Does this capability certify landing performance?

    No. This capability performs mathematical interpolation between known data points provided in performance tables. It is not a certification capability.

  • 07

    How can I check if my aircraft configuration is valid?

    You can use the get_performance_bounds capability to retrieve the valid operational ranges for a specific aircraft configuration.

  • 08

    What happens if the landing distance exceeds the runway length?

    The interpolate_landing_distance capability will return a negative margin, and you can use summarize_performance_gap to get a status report indicating if the distance is 'Insufficient'.

Connect Landing Distance Interpolator to Claude, Cursor, ChatGPT & more