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Connect Kriging Estimation Model to ChatGPT and Claude

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 block grade estimates and spatial uncertainty data.

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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 Kriging Estimation Model.

  1. 01

    Get block estimates

    This capability calculates estimated grades and uncertainty levels for specific block discretization points.

  2. 02

    Get kriging weights

    Use this to find out exactly how much influence each sample has on a target estimation point.

  3. 03

    Get spatial correlation stats

    This capability provides summary statistics on how samples are distributed and their density within your search space.

  4. 04

    Validate variogram parameters

    This capability checks if your provided variogram model is mathematically and physically sound for kriging operations.

Real work

What teams actually run

01

Resource Modeling

Use the capability to estimate ore grades across a defined block model.

02

Uncertainty Assessment

Calculate estimation variances to understand the reliability of your spatial data.

03

Sample Density Analysis

Check how well your samples cover a specific area using correlation statistics.

04

Model Validation

Verify that your variogram parameters are physically sound before running full interpolations.

One connector, every AI

Kriging Estimation Model 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 Kriging Estimation Model 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

894ms average. Fast in production.

Kriging Estimation Model is checked daily against the live service.

Daily averagePeak 1078ms
Oct 3Today
Fastest day
699ms
Slowest day
1078ms
14-day trend
Slowing+11%

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 Kriging Estimation Model, so you can see the experience inside your AI.

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

Kriging Estimation Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bpI2P6MJOkCMUP4nkuIhdrCAeup3yh2mTroa3jHJ/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 — Kriging Estimation Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kriging-estimation-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bpI2P6MJOkCMUP4nkuIhdrCAeup3yh2mTroa3jHJ/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 Kriging Estimation Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Kriging Estimation Model owners hand off.

This MCP is built for professionals working with spatial data and resource estimation.

  • 01

    Geologists

    They hand off sample data to the AI to generate block models and grade estimates.

  • 02

    Mining Engineers

    They use the capability to evaluate resource uncertainty and spatial distribution.

  • 03

    Data Scientists

    They use the mathematical capabilities to validate spatial interpolation models.

FAQ

Questions Kriging Estimation Model owners ask.

  • 01

    What kind of interpolation does this MCP perform?

    This MCP performs Ordinary Kriging for spatial interpolation.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    Does it support anisotropy?

    Yes, the engine supports anisotropy and search ellipse constraints for precise estimation.

  • 04

    How do I check if my variogram is correct?

    You can use the validate_variogram_parameters capability to ensure your model is mathematically sound.

  • 05

    Can I see how much a specific sample affects my estimate?

    Yes, the get_kriging_weights capability retrieves the specific influence each sample has on a target point.

  • 06

    What is Ordinary Kriging?

    Ordinary Kriging is a geostatistical interpolation method that estimates values at unsampled locations by weighting nearby known samples based on spatial correlation.

  • 07

    How do I ensure my variogram model is valid?

    You can use the validate_variogram_parameters capability to check if your nugget, sill, and range parameters are mathematically sound.

  • 08

    Can this model handle directional dependencies?

    Yes, the model accounts for anisotropy and uses a search ellipse to define the spatial boundary for sample selection.

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