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io.github.physics-star-cat/databutler-stats

io.github.physics-star-cat/databutler-stats · v1.0.0

Measured by MCP Station

Description written by the publisher, not verified

Exact statistics & probability: distributions, hypothesis tests, CIs, Bayesian updates, regression.

Connect

claude mcp add --transport http databutler-stats https://databutler.dev/api/mcp/stats

{
  "mcpServers": {
    "databutler-stats": {
      "url": "https://databutler.dev/api/mcp/stats"
    }
  }
}

Tools as reported by the server

• descriptive_stats
  Summary statistics for a numeric array: mean, median, sd, variance, quartiles, IQR, skewness, min/max.
• distribution
  Evaluate a probability distribution (normal, t, chi2, binomial, poisson): pdf/pmf and cdf at a value, and/or the quantile at a probability, plus mean & variance. Params per dist: normal {mean,sd}, t {df}, chi2 {df}, binomial {n,p}, poisson {lambda}.
• hypothesis_test
  Run a significance test and get the statistic, p-value, and a plain-language interpretation with assumptions. test = one-sample-t {data, mu0}, two-sample-t {data1, data2}, one-proportion-z {successes, n, p0}, two-proportion-z {successes1,n1,successes2,n2}, chi2-gof {observed, expected?}, chi2-indepe
• confidence_interval
  Confidence interval for a mean (t-based; from data, or n/mean/sd) or a proportion (Wilson; successes/n). kind = mean | proportion; confidence default 0.95.
• bayes_update
  Discrete Bayesian update: given competing hypotheses each with a prior and the likelihood of the observed evidence, return normalised posteriors. Priors are renormalised to sum to 1.
• linear_regression
  Simple linear regression of y on x: slope, intercept, r, r², slope std error and p-value, equation.

Repository · Website · JSON · Text for agents · Registry updated 2026-08-31