Skip to main content
Glama
theluckystrike

ab-test-sample-size-calculator-mcp

Related Servers

Alternatives to ab-test-sample-size-calculator-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables statistical A/B testing by computing Welch's two-sample t-test, Satterthwaite degrees of freedom, and two-tailed p-values, alongside time-series forecasting, anomaly detection, regression, and PCA through MCP tools.
      7
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables agents to calculate how many evaluation test cases are needed to trust model comparisons, find the smallest detectable accuracy gap, and assess paired or unpaired results using McNemar and two-proportion statistical tests.
      4
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Give AI agents 10 offline tools for market observations, repeated headlines, forecast evaluation, correlation risk and statistical checks. Preserve source clocks, missing data and stated assumptions. Python, CLI and MCP share the same zero-dependency core; no feed collection or trade execution.
      2
      10
      56 PyPI
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.
      17
      96 npm
      MIT

    TDQS

    A3.9/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct primary purpose: sample sizing, duration planning, significance testing, exact contingency tests, and peeking-risk analysis. There is minor overlap because test_ab_significance also returns Fisher exact p-values for 2x2 tables, which could cause confusion with fisher_exact_test. However, fisher_exact_test is clearly positioned for general and larger contingency tables.

    Naming Consistency4/5

    Four of five names follow a clear verb_noun pattern: calculate_sample_size, estimate_test_duration, test_ab_significance, and check_peeking_risk. fisher_exact_test is a noun phrase rather than verb-led, a minor deviation in an otherwise consistent snake_case convention.

    Tool Count5/5

    Five tools is well-scoped for a focused A/B testing statistics server. Each tool covers a distinct stage of test planning or analysis without unnecessary fragmentation.

    Completeness5/5

    The surface covers the core A/B testing lifecycle: sample size calculation, duration estimation, result significance, exact tests for small or multi-arm tables, and peeking/sequential risk. No obvious operational gaps remain for the stated statistical domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues