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 |
Custom analysis, built for your CSV.
Upload your CSV, describe your question, and we build a custom statistical analysis module specific to your business — revenue trends, churn signals, ad performance, forecasting. Yours to own. Rerun next month on fresh data without rebuilding.
Real R, not vibes-based AI.
Validated statistical methods — t-tests, ANOVA, regression, survival analysis, PCA — packaged into a custom module for your data. Every result includes diagnostics, confidence intervals, and a citable PDF. Rerun the exact same analysis next semester on next year’s data.
Your AI already knows us.
Connect from Claude, ChatGPT, Cursor, Windsurf, or your own agent via MCP protocol. Full toolset for module discovery, execution, and customization. Bring your own API key or use platform credits. The analysis engine works regardless of which model you use.
Every analysis runs through the same validated pipeline — you choose how far it goes. From a fast verified read of your data, to a single computed answer you can refresh, to a full commissioned study you own and refresh forever. Every depth comes back independently verified.
More rigor outranks more charts: going deeper buys real statistical methods — hypothesis tests, regression, diagnostics — not just more cards. You pay for depth, not chart count — the price is shown before you run, and only a successful build is ever billed. Every analysis you commission is yours to refresh at half its build price.
Every analysis you commission is a durable tool you own — not a one-off answer. When new data lands (next week’s export, next month’s numbers), refresh the same analysis on it anytime.
Same method, same validation, fresh numbers — at half the price of the original build, every time.
A library of platform-built, independently verified analyses covering the workhorses of applied statistics. No build wait — bring your data, map your columns, get the full report in minutes.
The same pipeline runs at every depth — a Snapshot runs a lean version in minutes, a Deck runs the full report. Depth changes how much of it runs and how robust the result, never the rigor. Here’s what happens between your question and an analysis you own.
What comes back is a report you could hand to your board, your client, or your reviewer — interactive, documented, and exportable.
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
Not in a chat thread that disappears. Not in a notebook you can’t find. Every analysis is permanent, shareable, citable, and reproducible.
Every report stored, indexed, and searchable — compare results across months. Nothing disappears.
One-click APA, MLA, Chicago, or BibTeX — methodology and assumptions documented per card. Use it in papers, decks, and filings.
Token-based access — no login to view. Share with your team, your client, your professor. The methodology travels with the report.
Fixed seeds, isolated containers, R source in every report. Run it yourself — you get the same numbers we did.
No seats, no meters, no surprises. Four depths, priced by the answer — and every analysis you commission is yours to refresh at half its build price.
Validated R analyses across 8 categories — each produces a full interactive report.
t-test · ANOVA · Chi-square · Linear · Ridge · Lasso · Logistic · Random Forest · XGBoost · K-Means · PCA · ARIMA · RFM · Churn · ROAS · ICC · ANCOVA · Cox PH · and more
Browse all modules →Upload your CSV. Get a real statistical report with interactive charts and AI insights — in minutes.
Describe what you want to know. The agent picks the right analysis and delivers a full report.
Each card in your report gets its own AI interpretation. Not generic summaries — specific observations about your data, statistical significance calls, and actionable recommendations.
AI reads each chart and table, explains what matters and what to act on.
One-page TLDR for stakeholders who won't read the full report.
Citable R code, assumption checks, what the test actually proves.
TV spend shows the strongest ROI at $4.20 per dollar, significantly outperforming Radio ($2.15) and Newspaper ($0.87). The model explains 89.7% of variance (R² = 0.897), suggesting marketing budget reallocation from Newspaper to TV could increase revenue by approximately 12-18%.
Every result gets embedded into a high-dimensional vector space. Related insights cluster together automatically.
Search by meaning, not keywords. The more you analyze, the more connections you find.
Ask a question, pick a tool, or let the agent decide. The result is a full report with charts, tables, and AI insights.
Every result is stored by what it means, not what it was named — so related work finds each other automatically.
Ask “What do we know about churn?” and the system retrieves the most semantically relevant results — across all datasets, tools, and time.
Every report you run becomes memory. Ask a new question, and the most related past work surfaces on its own — whichever tool built it, whenever it ran.
Chat threads forget. Notebooks scatter. Here, the churn study you ran in May is part of the answer you get in September — automatically.
Results are matched by meaning, so “churn” finds retention cohorts and cancellation drivers even when nothing shares a keyword. The full mechanics →
The more you analyze, the smarter every next question gets.
Whether you're running homework stats or forecasting next quarter's revenue.
MCP Analytics is an MCP server. Install it in any compatible AI client and your agent gets access to the full module library — run statistical analyses, ML models, and business analytics directly from conversation.
One developer installs the MCP server. 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
Every report has feedback buttons on each slide. Flag an issue and we'll send you an updated version. Still not satisfied? Credits back, no questions asked.
Every analysis you run becomes searchable knowledge. The more you use it, the smarter your organization gets.
500 free credits on signup — your first Brief is on us · no card required