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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AB Test Sample Size Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Run statistically sound experiments and prove your hypotheses.

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 · 3 capabilities

The complete AB Test Sample Size Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with AB Test Sample Size Calculator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through AB Test Sample Size Calculator.

  1. 01

    Assess peeking risk

    Assess the risk of stopping an A/B test early

  2. 02

    Calculate required sample size

    Determine the required sample size for an A/B test

  3. 03

    Estimate test duration

    Estimate the duration of an A/B test

Observed, not estimated

624ms average. Fast in production.

AB Test Sample Size Calculator is checked daily against the live service.

Daily averagePeak 798ms
Aug 20Today
Fastest day
489ms
Slowest day
798ms
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. 3 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 AB Test Sample Size Calculator, so you can see the experience inside your AI.

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

AB Test Sample Size Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_r2w7FicRhYLb2yLUrh65lss0cEO4Bcdo5mApGeZ1/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 — AB Test Sample Size Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ab-test-sample-size-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_r2w7FicRhYLb2yLUrh65lss0cEO4Bcdo5mApGeZ1/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

Who it's for

Built for the work AB Test Sample Size Calculator owners hand off.

This MCP is built for people who run data-driven experiments. If your job involves optimizing user flows, improving conversion rates, or proving product hypotheses, you need this. It takes the guesswork out of statistical planning.

  • 01

    Product Manager

    Use this to validate whether a new feature change is statistically significant before committing engineering resources.

  • 02

    Data Analyst

    Run precise calculations to determine the required sample size and test duration for any given metric.

  • 03

    Marketing Scientist

    Assess the risk of stopping a campaign early, ensuring your marketing spend is backed by reliable data.

FAQ

Questions AB Test Sample Size Calculator owners ask.

  • 01

    What is Minimum Detectable Effect (MDE)?

    The MDE is the smallest change in your conversion rate that you want your test to be able to detect. You set this value because you don't want to run a massive test just to find a tiny, meaningless improvement.

  • 02

    Why is peeking risk dangerous?

    Peeking risk means checking your test results before the predetermined time. This can cause you to see a temporary fluctuation that looks like a winner, but is actually just random chance, leading to false positives.

  • 03

    Do I need to know my daily traffic?

    Yes, knowing your daily traffic helps the MCP estimate the test duration. If you don't provide it, the test cannot accurately project how long the experiment must run.

  • 04

    Is this for all types of testing?

    This MCP focuses specifically on A/B testing and conversion rate analysis. It provides statistical rigor for comparing two versions of a feature or page.

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