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Databutler Stats MCP Server

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answering

Databutler Stats is answering right now. Last checked 2 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 12 hours of history
12 hours agonow
100.0%
Uptime 24h
41 of 41 checks
6
Tools
read from the server
465 ms
Response time
average over 24h
open, no key
Access
streamable-http

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

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

URLTransportStateLatencyChecked
https://databutler.dev/api/mcp/stats streamable-http answering 692 ms 2 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 41 of 41 checks got a reply (100.0%), average response time 465 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 465 ms on average, which is faster than 37% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.