Automated Analysis & Reporting
Powered by R & AI.

A fully automated analysis and reporting system. Upload your data, get interactive reports with charts, correlations, and AI-generated insights — built on validated R statistical software, not AI-generated code.

Your Data Has a Story.
Let It Speak.

Upload your data and get a complete interactive report — charts, statistical tests, AI insights, and exportable PDF. One click, not ten prompts. Built on validated R, not AI-generated code.

R Validated statistical engine | Repeatable & auditable results | 60+ analysis methods

Every analysis runs on validated R scripts — the same statistical language used in academia, pharma, and finance. Results are deterministic and reproducible. AI provides the insights and interpretation, not the methodology.

Save reports over time. Search across analyses. Cross-check findings. Use AI assistance for deeper exploration — or connect your data sources for automated recurring reports.

Your Analytics Have No Memory

Notebooks get archived
Last quarter's analysis is buried in a folder no one opens.
Dashboards get ignored
Built once, bookmarked, never checked again.
Same questions get re-analyzed
Three teams run the same churn analysis from scratch.
Insights never connect
Related findings across teams and datasets stay siloed.

Your organization forgets more than it learns. We fix that.

Three Ways to View Your Results

Every analysis produces a full report — not a JSON blob. Choose how you want to explore, share, or present your findings.

Interactive Report

Sidebar navigation, search, interactive Plotly charts. Share with a link — no account needed to view.

View Example →

Card Viewer

Browse individual cards — each chart, table, and metric with AI insights alongside. Navigate with keyboard arrows.

View Example →

PDF Report

Academic white paper — serif fonts, figure numbering, clean tables. One-click download, print-ready.

View Example →
Linear Regression — Marketing Spend Analysis

Learn More About Report Exports →

Full Analysis in One Click

1 MCP report = 10 Julius prompts. Every report includes 6-16 interactive cards, AI insights, diagnostics, and exportable PDF.

Compare all plans & credit packs → | 2,000 free credits on signup (~15 reports) · How credits work | Volume subscriptions available

1 Report. Not 10 Prompts.

Other tools make you prompt for each chart. We deliver the whole analysis in one click.

MCP Analytics Julius AI ChatGPT
What you get 6-16 card report 1 code output 1 chat response
Reproducible? Same result every time Different code each run Different each run
PDF export One-click, branded No No
R code provided Validated, citable Python (changes) Python (changes)
Prompts per analysis 1 (complete report) 8-12 (build iteratively) 8-12 (build iteratively)
Satisfaction guarantee Free re-run or refund No No
See full comparison →

Statistical Methods. Production Ready.

Validated R analyses across 8 categories — each produces a full interactive report.

Hypothesis Testing Regression Machine Learning Time Series Customer Analytics Marketing & Ads Causal & Survival E-Commerce

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 →

Try Free — No Signup Required

Upload your CSV. Get a real statistical report with interactive charts and AI insights.

Browse all free tools →

Ask Questions. Get Answers.

Describe what you want to know. The agent picks the right analysis and delivers a full report.

app.mcpanalytics.ai
Why are customers leaving after the first month?
C
Cymple matched your data to Churn Prediction
Report ready · 8 cards · 42 seconds
Monthly churn is 4.2%. Users who skip onboarding churn at 3.1x the rate of those who complete it. The first 7 days are critical — 68% of churners never return after day 3.
View full report Export PDF Run cohort retention next
See how the agent works →
What the AI does

AI Insights on Every Card

Each card in your report gets its own AI interpretation. Not generic summaries — specific observations about your data, statistical significance calls, and actionable recommendations.

Card-level analysis

AI reads each chart and table, explains what matters and what to act on.

Executive summary

One-page TLDR for stakeholders who won't read the full report.

Methodology notes

Citable R code, assumption checks, what the test actually proves.

Key Findings — Marketing Spend Analysis

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%.

OLS Linear Regression  |  p < 0.001  |  n=200 High confidence — R² > 0.85

Every Analysis Builds Your Knowledge

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.

Learn More About the Knowledge Layer →

1

Run an Analysis

Ask a question, pick a tool, or let the agent decide. The result is a full report with charts, tables, and AI insights.

2

Automatically Embedded

The result is converted to a 768-dimension vector and placed in a shared semantic space alongside every other analysis.

3

Search by Meaning

Ask “What do we know about churn?” and the system retrieves the most semantically relevant results — across all datasets, tools, and time.

Your Analyses in Semantic Space

Each dot is a past analysis. Proximity = similarity in meaning.
A query finds the nearest neighbors — regardless of when they ran or what tool was used.

Prophet Pivot RFM Segmentation Churn Prediction CLV Analysis Revenue Trend Margin Analysis Onboarding Funnel Feature Usage Support Tickets A/B Test "churn" query semantic dimension 1 semantic dimension 2
How It Works

Every analysis result is converted to a 768-dimension embedding vector. Your query is embedded the same way, then we find the nearest neighbors by cosine similarity.

Related analyses cluster together naturally — even if they used different tools, different datasets, or were run months apart.

Analyses by Domain
Customer — RFM, Churn, CLV
Finance — Revenue, Margins
Product — Onboarding, Features
Operations — Support, SLAs
Other analyses (not matching query)
5-Signal Discovery

Tool matching uses Reciprocal Rank Fusion across 5 signals: structural similarity, LLM description, LLM overview, column type coverage, and category fit.

The orange glow shows the query radius. Every lit-up dot is a past analysis the system would return for “What do we know about churn?”

The more you analyze, the more connections you find.

Built for How You Work

Whether you're running homework stats or forecasting next quarter's revenue.

💼
Business
Marketing, revenue, pricing, ops
🎓
Students
Homework, thesis, coursework
📈
Analysts
R code, reproducibility, API
🔬
Researchers
Citations, methodology, PDF
For Developers

Plug Into Your Agent

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.

Claude Desktop Cursor Windsurf Claude Code Any MCP Client
See the full integration guide → | API docs
Install via npx
# Add to your MCP client config { "mcpServers": { "mcpanalytics": { "command": "npx", "args": [ "-y", "@mcpanalytics/mcp-analytics", "--api-key", "YOUR_API_KEY" ] } } }

Also supports direct HTTP and OAuth2

Report an Issue. We Fix It. Or Get Credits Back.

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.

🚩
1. Flag the issue
Thumbs down on any slide. Tell us what's wrong — chart broken, wrong data, missing section.
🛠
2. We fix & resend
Our system diagnoses the issue, fixes the module, and sends you an updated report at no cost.
💰
3. Or credits back
Still not satisfied after the update? Request a refund from the report page. No questions asked.

Stay in the Loop

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Start Building Your Analytical Memory

Every analysis you run becomes searchable knowledge. The more you use it, the smarter your organization gets.