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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Uncertainty Analysis Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify measurement uncertainty using statistical propagation and distribution rules.

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 Uncertainty Analysis Calculator capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Uncertainty Analysis Calculator.

  1. 01

    Calculate combined uncertainty

    Calculates the total combined standard uncertainty from a list of provided uncertainty sources

  2. 02

    Calculate expanded uncertainty

    Calculates the expanded uncertainty to provide a confidence interval

  3. 03

    Evaluate type a uncertainty

    Converts a set of repeated measurement observations into a standard Type A uncertainty

  4. 04

    Evaluate type b uncertainty

    Converts external information into a standard Type B uncertainty

Observed, not estimated

795ms average. Fast in production.

Uncertainty Analysis Calculator is checked daily against the live service.

Daily averagePeak 954ms
Aug 29Today
Fastest day
774ms
Slowest day
954ms
14-day trend
Improving-17%

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 Uncertainty Analysis Calculator, so you can see the experience inside your AI.

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

Uncertainty Analysis Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_nZJrh3RrgFjzecOrrYZLXiPV13ae9jqg7obcVjXD/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 — Uncertainty Analysis Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "uncertainty-analysis-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nZJrh3RrgFjzecOrrYZLXiPV13ae9jqg7obcVjXD/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

FAQ

Questions Uncertainty Analysis Calculator owners ask.

  • 01

    What is the difference between Type A and Type B uncertainty?

    Type A uncertainty is calculated from the statistical analysis of a series of observations, while Type B uncertainty is based on non-statistical information such as manufacturer specifications or calibration data.

  • 02

    How do I calculate the total uncertainty from multiple sources?

    You can use the calculate_combined_uncertainty capability. It takes a list of individual standard uncertainties and applies the root sum of squares method to find the total combined uncertainty.

  • 03

    What coverage factor should I use for a 95% confidence interval?

    A coverage factor of 2 is commonly used to provide approximately 95% confidence when using the calculate_expanded_uncertainty capability.

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