Ask a question about your data in plain English, right in your AI chat. MCP Analytics runs real statistical computation — not a language model’s guess — and returns a validated, citable report you own and can refresh. Delivered in minutes, not the days an analyst takes.
| Predictor | Odds ratio | 95% CI | p |
|---|---|---|---|
| discount_depth | 1.42 | <.001 | |
| prior_orders | 1.18 | .003 | |
| email_optin | 1.05 | .214 |
The pipeline tailors a custom analysis to your question. The library covers the scenarios people run every day.
The pipeline is how a custom analysis gets made — method picked, real R written and run, the result independently checked. As deep as you choose: Snapshot, Brief or Deck.
High-quality analyses for the questions people run most — group differences, trends, churn, experiments. Verified builds, ready for your data.
If you want to know it’s true, that’s worth something.
How much depends on the depth of the build and the number of insights — all searchable, all maintainable.
Every tier below is an agentic pipeline — specialist agents that write and run real statistics on your data, then check the result. Not a chatbot with a nicer answer.
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EVERY TIER: COMPUTED IN R · SPECIALIST-MATCHED · THE CODE IN THE REPORT · CITABLE · YOURS TO RE-RUN AT HALF PRICE
FAILED BUILDS ARE NEVER BILLED · PRICE SHOWN BEFORE YOU RUN · *ACCURACY FIGURE: PEER-REVIEWED EVALUATION OF CHATGPT’S STATISTICAL ANALYSIS, JMIR 2025
Three things you don’t get from asking a chatbot — and the reason the answer is still useful next quarter.
The number is computed by a statistical test on your data — the method named, the code printed in the report. The words are written after the maths, never instead of it.
How the work gets built →Point it at new data and it runs the identical analysis for half the price — so this quarter and last are genuinely comparable, not two different opinions.
Why the answer holds →We index what each report found, not what it was called — so you can search across all of them at once, pull the cross-section that matters, and hand that same knowledge to any AI agent you use.
How semantic search works →Fluent and correct are not the same thing — and rigorous doesn’t have to mean slow. Real statistical analysis used to be a choice between waiting and guessing. Now it isn’t.
Microsoft tells Copilot users not to rely on it for work “requiring high accuracy or reproducibility.” We exist for exactly that work.
*accuracy figure: peer-reviewed evaluation of ChatGPT’s statistical analysis, JMIR 2025
MCP Analytics is an MCP server — install it once and your agent can commission, run, and refresh analyses directly from conversation. No new tab, no new tool to learn.
One developer installs it. The whole team views reports in the web app. Two interfaces, one platform.
# Add to your MCP client config
{
"mcpServers": {
"mcpanalytics": {
"command": "npx",
"args": [
"-y",
"@mcp-analytics/mcp-analytics",
"--api-key",
"YOUR_API_KEY"
]
}
}
}
Also supports direct HTTP and OAuth2
No account, no card. Upload a CSV and get a real computed report in the browser — the library’s free shelf.
The one you’d hire an analyst for, if it were easier. Ask it in plain English — a defensible answer comes back in minutes, and the analysis is yours for good.
500 free credits on signup — your first Brief is on us · no card required
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