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Connect Uncertainty Analysis Calculator 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 confidence intervals for your analytical measurements.

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 Uncertainty Analysis Calculator.

  1. 01

    Calculate combined uncertainty

    This capability aggregates multiple uncertainty sources into a single total combined standard uncertainty. It uses the root sum of squares method to combine your data.

  2. 02

    Calculate expanded uncertainty

    This capability determines the expanded uncertainty for a given value. It applies coverage factors to provide a specific confidence interval.

  3. 03

    Evaluate type a uncertainty

    This capability processes a set of repeated measurement observations. It converts your raw data into a standard Type A uncertainty value.

  4. 04

    Evaluate type b uncertainty

    This capability handles non-statistical error sources. It converts external information, like calibration data, into a standard Type B uncertainty.

Real work

What teams actually run

01

Calibration Reporting

Use the capability to convert calibration certificate data into Type B uncertainty for a final report.

02

Repeated Measurement Analysis

Input a series of lab results to immediately get the Type A standard uncertainty.

03

Total Error Budgeting

Combine multiple error sources to find the total combined standard uncertainty for a process.

04

Confidence Interval Determination

Calculate the expanded uncertainty to define the range of a measurement with a specific confidence level.

One connector, every AI

Uncertainty Analysis Calculator 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 Uncertainty Analysis Calculator 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

872ms average. Fast in production.

Uncertainty Analysis Calculator is checked daily against the live service.

Daily averagePeak 1230ms
Oct 3Today
Fastest day
627ms
Slowest day
1230ms
14-day trend
Slowing+37%

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

Guided setup for Claude? Set up Uncertainty Analysis Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Uncertainty Analysis Calculator owners hand off.

This MCP is built for professionals in laboratories and metrology departments who need to report precise measurement data.

  • 01

    Analytical Chemists

    They hand off raw measurement data to the AI to get standardized uncertainty reports.

  • 02

    Metrologists

    They use the capability to calculate expanded uncertainty and confidence intervals for calibration.

  • 03

    Quality Control Technicians

    They rely on the capability to verify that measurement processes stay within defined error limits.

FAQ

Questions Uncertainty Analysis Calculator owners ask.

  • 01

    What is the difference between Type A and Type B uncertainty in this MCP?

    Type A uncertainty is calculated from repeated measurements using statistical analysis. Type B uncertainty is derived from external sources like calibration data or manufacturer specs.

  • 02

    How does this MCP combine different uncertainty sources?

    It uses the root sum of squares method to aggregate multiple uncertainty sources into a single combined standard uncertainty.

  • 03

    Can I specify the coverage factor for expanded uncertainty?

    Yes, the calculate_expanded_uncertainty capability allows you to use specific coverage factors to determine your confidence interval.

  • 04

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and it is ready to use.

  • 06

    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.

  • 07

    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.

  • 08

    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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