How does MCP Analytics choose the right analysis for my data?

MCP Analytics creates a semantic fingerprint of your data by analyzing column types, value distributions, and structural patterns. It then matches this fingerprint against its library of statistical tools using embedding similarity. Your natural language question further refines the match by mapping intent to analytical concepts. The tool with the highest combined compatibility score runs automatically.

What are semantic embeddings and why do they matter for analytics?

Semantic embeddings convert data descriptions and questions into numerical vectors that capture meaning, not just keywords. This means asking 'Why are customers leaving?' matches to churn prediction tools even though the word 'churn' was never used. It's how the platform understands intent rather than relying on exact keyword matches or manual tool selection.

What happens to my analysis results after they're generated?

Every analysis result is embedded into a searchable knowledge graph. Metrics, trends, segments, and insights from each report are converted to semantic vectors and connected to related findings across all past analyses. This means a question like 'What do we know about churn?' surfaces relevant insights from customer analytics, finance, product, and operations — automatically connected.

Do I need to know which statistical test to use?

No. The platform automatically selects the appropriate statistical method based on your data structure and question. If you have time-series data and ask about forecasting, it picks Prophet or ARIMA. If you have categorical outcomes and ask about drivers, it selects logistic regression or random forest. You describe the business question; the platform handles the statistics.

How is this different from ChatGPT or other AI tools for data analysis?

ChatGPT generates code that you then need to run, debug, and interpret. MCP Analytics runs actual statistical computations on your data using validated R packages, produces interactive visualizations, and generates reports with proper statistical validation (p-values, confidence intervals, effect sizes). Results are reproducible and shareable — not generated text that may hallucinate statistics.

Upload. Ask. Know.

Bring your data, ask a question in plain English, and get a professional analysis with charts, tables, and AI insights. Every result becomes searchable knowledge.

Step 1

Bring Your Data

Upload a CSV file or connect a live data source like Google Analytics or Search Console. Your data is encrypted and private — we never share it or use it to train models.

CSV Upload
Drag and drop any CSV. See a preview with column types and sample rows instantly.
Live Connectors
Connect Google Analytics 4, Search Console, Shopify, Stripe, and more — analyze live data without exporting.
Demo Datasets
Try the platform with pre-loaded sample data — marketing spend, retail demand, survey responses.

Step 2

The Right Tool Finds You

You don't need to know which statistical method to use. The platform analyzes your data's structure, matches it against our full library of analysis modules, and ranks them by compatibility.

Automatic Matching
The system understands your data by meaning, not keywords. It scores each tool for compatibility and explains why.
Or Just Ask
"What factors predict sales?" — the agent picks the right tool, confirms the setup, and runs it for you.
Transparent Access
See which tools are available on your plan and which require an upgrade. No hidden limits.

Step 3

Real Analysis, Not Generated Code

Unlike tools that generate Python scripts and hope they work, MCP Analytics runs validated, production-grade statistical methods on your data. Every analysis produces consistent, reproducible results.

Full Reports
Interactive charts, statistical tables, model diagnostics, and AI-generated insights — not a JSON blob.
Card Viewer
Browse results card by card with prev/next navigation and an AI insights panel that explains each finding.
PDF Export
One-click PDF with pixel-perfect charts, each card on its own page. Share with anyone — no login required.

Step 4

Knowledge That Compounds

Every analysis you run is automatically indexed. Ask a question and get answers drawn from your entire analytical history — not just the last report.

Learn More About Knowledge Graphs →

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Searchable History

Every analysis is saved and searchable. Find any past result by what it was about, not just when it ran.

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Connected Insights

Related analyses find each other automatically. A churn analysis connects to CLV, revenue trends, and support data.

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Compounding Value

Your 50th analysis is more valuable than your first — because the agent has 49 prior results to draw from.

Semantic Fingerprint

The more you analyze, the more connections you find.

See It In Action

Upload your data, ask a question, get the right analysis. Start building your analytical memory today.

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