MCP.Market

Databutler Stats MCP server

online · 100% uptime
by physics-star-cat·io.github.physics-star-cat/databutler-stats·v1.0.0

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

B81/100grade B
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Safety scan
B81/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

Databutler Stats tools (6, 2 write)

write = sends, deletes, buys or posts
  • bayes_updatewrite actionFree

    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.

  • confidence_intervalFree

    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.

  • descriptive_statsFree

    Summary statistics for a numeric array: mean, median, sd, variance, quartiles, IQR, skewness, min/max.

  • distributionFree

    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_testwrite actionFree

    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-independence {table}. Optional tail: two-sided (default) | greater | less; alpha default 0.05.

  • linear_regressionFree

    Simple linear regression of y on x: slope, intercept, r, r², slope std error and p-value, equation.

Public scan report

scanner v0.1.10 · 2026-10-29 · same rubric, same numbers if you re-run it

1 high
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 731ms20/20
  • Tool poisoning6 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 81/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Databutler Stats compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
81/100
higher than 62% of 48,243 servers
Tools
6
the typical server has 7
Tools that change things
33%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
59 ms
faster than 91% of 30,027 servers

What its tools let an agent do: 4 read · 2 change

Install Databutler Stats in Claude Code, Cursor or VS Code

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

Grade history

  • 2026-10-29restoreC → Bscore 81: Write-action tools reachable without authentication

Databutler Stats: common questions

Is Databutler Stats MCP server safe?
Mostly: it is graded B (81/100). Read the Databutler Stats safety report
How do I install Databutler Stats?
It runs remotely at databutler.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Databutler Stats need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Databutler Stats maintained?
The last commit was 10 days ago (2026-10-26). The latest release is v1.0.0.
Is Databutler Stats up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Databutler Stats compare with other MCP servers?
safety score 81/100 (higher than 62% of 48,243 servers); tools 6 (the typical server has 7); tools that change things 33% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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