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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Variogram Modeling Analysis with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Compute experimental variograms and fit spatial continuity models.

Included with plan

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

Complete set · 4 capabilities

The complete Variogram Modeling Analysis capability set.

These are the exact actions your AI can choose when you ask it to work with Variogram Modeling Analysis.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Variogram Modeling Analysis.

  1. 01

    Compute experimental variogram

    Calculates the raw semivariance values for a set of spatial data points at specified intervals

  2. 02

    Detect anisotropy

    Determines if the spatial correlation varies significantly by direction

  3. 03

    Fit variogram model

    Fits a mathematical model to the experimental variogram to derive continuous parameters

  4. 04

    Get spatial continuity summary

    Provides a high-level overview of the spatial structure of the dataset

One connector, every AI

Variogram Modeling Analysis 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 Variogram Modeling Analysis 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 Variogram Modeling Analysis, so you can see the experience inside your AI.

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

Variogram Modeling Analysis Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_90eLi7v2uwyo9H83WpXIUBCy4b6pbJDJCcgQIl6L/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 — Variogram Modeling Analysis capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "variogram-modeling-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_90eLi7v2uwyo9H83WpXIUBCy4b6pbJDJCcgQIl6L/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

See all the AI clients this connector works with ↑

FAQ

Questions Variogram Modeling Analysis owners ask.

  • 01

    What is the purpose of this server?

    It quantifies spatial correlation by calculating semivariance and fitting models to spatial data.

  • 02

    How do I detect if my data has anisotropy?

    You can use the detect_anisotropy capability by providing your spatial data and a list of azimuth directions to test.

  • 03

    Can I fit specific mathematical models?

    Yes, the fit_variogram_model capability supports various model types like spherical and exponential.

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