Databutler Stats MCP Server

by physics-star-cat Your server? Claim it

answering

Databutler Stats is answering right now. Last checked 7 min ago. It exposes 6 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 47 days of history · worst day 0%

47 days agonow

63.0%

Uptime 24h

58 of 92 checks

Tools

read from the server

253 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 3 October 2026. No other catalogue keeps this.

3 Oct a tool changed version

Databutler Stats does not always answer

Over the last week it answered 73.5% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.databutler-stats]
url = "https://databutler.dev/api/mcp/stats"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

bayes

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.

confidence

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.

descriptive

descriptive_stats

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

distribution

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

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

linear

linear_regression

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

Endpoints

URL	Transport	State	Latency	Checked
https://databutler.dev/api/mcp/stats	streamable-http	answering	231 ms	7 min ago

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Databutler Stats — questions

Answers built from our own checks of this server.

What can Databutler Stats do?

It exposes 6 tools, read directly from the server on our last check. Among them: bayes_update, confidence_interval, descriptive_stats, distribution, hypothesis_test, linear_regression. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Databutler Stats working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 58 of 92 checks got a reply (63.0%), average response time 253 ms. The bar chart above shows every period we have measured.

Is Databutler Stats still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Databutler Stats?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Databutler Stats need an API key?

No. Databutler Stats completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Databutler Stats?

It answers our handshake in 253 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.