MCP serverio.github.physics-star-cat/databutler-stats
Exact statistics & probability: distributions, hypothesis tests, CIs, Bayesian updates, regression.
Overview
Score?
UNRATED 0.735
of what a free look can see, on 30 looks
Looks
35
last 13 hr ago
Tools
6
More info
URL
databutler.dev/api/mcp/stats
streamable-http
Says it is
databutler-stats 1.1.0
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.735 · highest on record 0.8561
Toolsfrom sha256:89dc90d9b6…1701d7
| Tool | Schema |
|---|---|
| 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 |
input · no output |
| 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. |
input · no output |
| descriptive_stats Summary statistics for a numeric array: mean, median, sd, variance, quartiles, IQR, skewness, min/max. |
input · no output |
| 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: n |
input · no output |
| 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-prop |
input · no output |
| linear_regression Simple linear regression of y on x: slope, intercept, r, r², slope std error and p-value, equation. |
input · no output |
Verify it yourself
npx teppi-check https://databutler.dev/api/mcp/statscurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2JWHHA5DB158S8KCNJTA