For Data Analysts

Validated R Analyses.
One Click. Full Reproducibility.

Every analysis runs on peer-reviewed R scripts — same methodology used in academia, pharma, and finance. Results are deterministic. AI provides the insights. You get the report.

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t-test ANOVA Regression PCA Clustering Time Series Chi-Square Survival Analysis Random Forest Anomaly Detection
60+
Validated R
Modules
100%
Reproducible
Results
< 60s
Data to
Report
PDF + HTML
Export
Formats
Why MCP Analytics

Why Analysts Choose MCP Analytics

The same R you trust, without the overhead. Every result is verifiable, every chart is interactive, every analysis is searchable.

Your R Code, Not AI Guesses

Every report includes the exact R script that ran. Copy it, run it independently, verify the results. The methodology section describes every assumption checked and every parameter set.

Interactive Reports, Not Static Charts

Plotly-powered charts you can hover, zoom, and explore. Tables you can sort. PDF exports for stakeholders. Not screenshots — real interactive analysis.

Semantic Search Across All Analyses

Every result gets embedded in a shared vector space. Ask "What do we know about churn?" and find relevant analyses across all datasets and time periods.

Analysis Library

What You Can Analyze

60+ validated modules covering the full spectrum of quantitative analysis — from basic hypothesis tests to production ML models.

Statistical Testing

Hypothesis Tests

t-test ANOVA chi-square Mann-Whitney Kruskal-Wallis
Regression

Predictive Modeling

Linear Ridge Lasso Elastic Net Logistic
Machine Learning

ML & Unsupervised

Random Forest XGBoost K-Means DBSCAN PCA Isolation Forest
Time Series

Temporal Analysis

ARIMA Simple Trend Prophet Revenue Forecasting
Specialized

Advanced Methods

ICC ANCOVA Cox PH Survival Naive Bayes
Workflow

From Data to Report

Three steps. Under 60 seconds. No configuration, no environment setup, no debugging.

1

Upload your CSV

Drag and drop or connect a data source. Auto-detection identifies column types and suggests analyses.

2

Pick your analysis

Or let the AI agent recommend one. 5-signal semantic matching finds the right module for your data.

3

Get your report

Interactive cards, AI insights, R code, methodology, and PDF export. Save to your library. Search later.

Comparison

MCP Analytics vs Writing R Yourself

Same peer-reviewed packages. Same statistical rigor. Different experience.

MCP Analytics Writing R Yourself
Time to result < 60 seconds Hours to days
Reproducible Same result every run Depends on your code
Interactive visualizations Built-in Plotly charts You build them
AI insights Automatic on every card Not available
PDF export One-click Manual formatting
Methodology documentation Auto-generated You write it
Pricing

Pricing for Analysts

Start free with the CSV analyzer. Scale with pay-as-you-go credits or full-access report bundles.

Pay As You Go

PAYG Credits

Pay per report, no commitment. Core modules, Haiku AI. From $4.99/500 credits.

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Full Access

Academic Bundles

Full library, Sonnet AI, R code export, API access. From $19/10 reports. Reports never expire.

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FAQ

Frequently Asked Questions

What statistical methods are available?
MCP Analytics includes 60+ validated R modules spanning statistical testing (t-test, ANOVA, chi-square, Mann-Whitney, Kruskal-Wallis), regression (linear, ridge, lasso, elastic net, logistic), machine learning (random forest, XGBoost, K-means, DBSCAN, PCA, isolation forest), time series (ARIMA, trend analysis, revenue forecasting), and specialized methods (ICC, ANCOVA, Cox proportional hazards, survival analysis, Naive Bayes).
Can I export the R code?
Yes. Every report includes the exact R script that produced the results. You can copy it, run it independently in your own R environment, and verify every number. Academic and Business tier reports include full R code export with all parameters and data preprocessing steps documented.
How is this different from running R myself?
MCP Analytics uses the same peer-reviewed R packages you would use directly — the math is identical. The difference is speed and completeness: you get assumption checks, effect sizes, interactive Plotly visualizations, AI-generated insights, methodology documentation, and PDF export in under 60 seconds, without writing or debugging any code.
Does it work with my AI assistant?
MCP Analytics works with any AI assistant that supports the Model Context Protocol (MCP), including Claude Desktop, Cursor, Windsurf, and others. You can also use the web application at app.mcpanalytics.ai directly without any AI assistant.
What does a report look like?
Each report contains multiple interactive cards: summary statistics, interactive Plotly charts you can hover and zoom, methodology documentation describing every assumption checked and parameter set, AI-generated insights explaining the results in plain language, and a downloadable PDF. Browse sample reports to see real examples.

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