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@gongrzhe/server-ab-test-calculator

v1.0.0

Published

A/B Test Calculator MCP App Server with statistical significance analysis

Readme

A/B Test Calculator MCP Server

Statistical significance calculator for A/B tests with confidence intervals, power analysis, and sample size recommendations.

Features

  • Statistical Significance Testing - Two-proportion z-test to determine if observed differences are statistically significant
  • Confidence Intervals - Wald confidence intervals for both control and variant conversion rates
  • Power Analysis - Calculate current statistical power and required sample sizes for 80% power
  • Relative Uplift Calculation - Quantify the percentage improvement from variant over control
  • P-Value Computation - Get precise p-values to assess test results
  • Flexible Confidence Levels - Support for custom confidence levels (default 95%)

Installation

npm install @gongrzhe/server-ab-test-calculator

Usage

As a CLI

npx @gongrzhe/server-ab-test-calculator

Claude Desktop Configuration

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "ab-test-calculator": {
      "command": "npx",
      "args": ["-y", "@gongrzhe/server-ab-test-calculator"]
    }
  }
}

Claude Code Configuration

claude mcp add ab-test-calculator -- npx -y @gongrzhe/server-ab-test-calculator

Tools

calculate-ab-test

Computes statistical significance for an A/B test including conversion rates, confidence intervals, z-score, p-value, and required sample size.

Parameters:

  • controlVisitors - Number of visitors in the control group
  • controlConversions - Number of conversions in the control group
  • variantVisitors - Number of visitors in the variant group
  • variantConversions - Number of conversions in the variant group
  • confidenceLevel - Confidence level (0-1), defaults to 0.95

Returns:

  • Conversion rates and confidence intervals for both groups
  • Relative uplift percentage
  • Z-score and p-value
  • Statistical significance at the specified confidence level
  • Required sample size per group for 80% statistical power
  • Current power analysis

Example Prompt

Calculate significance for my A/B test: Control had 5000 visitors with 150 conversions, Variant had 5000 visitors with 195 conversions. Use 95% confidence level.

License

MIT