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Connect Limit of Detection Calculator 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 detection and quantification limits for your analytical 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 Limit of Detection Calculator.

  1. 01

    Analyze noise profile

    This capability analyzes the stability and noise profile of your blank measurements. It helps you understand if your baseline is consistent enough for reliable detection.

  2. 02

    Calculate detection limits

    This capability calculates the LOD and LOQ based on your blank measurements and sensitivity settings. It provides the specific concentration thresholds you need.

  3. 03

    Estimate minimum sample size

    This capability estimates the minimum number of blank replicates required to reach your desired precision. It helps you plan your analytical runs to avoid wasted time.

  4. 04

    Validate calibration parameters

    This capability checks if your calibration and confidence settings are statistically valid. It ensures your experimental setup meets necessary statistical standards.

Real work

What teams actually run

01

Determining Detection Limits

Calculate the LOD and LOQ for a new analytical method using blank data.

02

Baseline Stability Checks

Verify that your instrument noise is low enough to proceed with a measurement run.

03

Sample Size Planning

Determine exactly how many replicates you need to hit a target precision level.

04

Calibration Validation

Confirm that your current calibration parameters are statistically valid before analyzing samples.

One connector, every AI

Limit of Detection 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 Limit of Detection 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

864ms average. Fast in production.

Limit of Detection Calculator is checked daily against the live service.

Daily averagePeak 954ms
Oct 8Today
Fastest day
685ms
Slowest day
954ms
14-day trend
Stable-4%

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 Limit of Detection Calculator, so you can see the experience inside your AI.

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

Limit of Detection Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_oSJ2GBk2g3FdcQTvAZZuvZc5QxQONoQmHFGqfNHA/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 — Limit of Detection Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "limit-of-detection-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oSJ2GBk2g3FdcQTvAZZuvZc5QxQONoQmHFGqfNHA/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 Limit of Detection Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Limit of Detection Calculator owners hand off.

This MCP is built for professionals working in analytical chemistry and laboratory environments who need to automate statistical validation.

  • 01

    Analytical Chemists

    They hand off raw blank data to the MCP to quickly determine LOD and LOQ.

  • 02

    Laboratory Technicians

    They use the capability to check if their baseline is stable before starting a run.

  • 03

    Quality Control Specialists

    They use it to validate that calibration parameters meet statistical requirements.

FAQ

Questions Limit of Detection Calculator owners ask.

  • 01

    What statistical standards does this MCP follow?

    The MCP uses IUPAC-compliant statistical methods for all detection and quantification calculations.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    Can I use this to check if my baseline is stable?

    Yes, you can use the analyze_noise_profile capability to assess the stability of your blank measurements.

  • 04

    How do I know how many replicates to run?

    You can use the estimate_minimum_sample_size capability to find the number of replicates needed for your target precision.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

  • 06

    How is the Limit of Detection (LOD) calculated?

    The LOD is calculated by multiplying the standard deviation of the blank measurements by the confidence multiplier and dividing the result by the calibration sensitivity.

  • 07

    Can I check if my baseline is stable?

    Yes, you can use the analyze_noise_profile capability to evaluate the coefficient of variation and determine if your baseline is stable.

  • 08

    What inputs are needed for detection limit calculations?

    You need to provide an array of blank signal measurements, the calibration sensitivity (slope), and a confidence multiplier.

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