MCP Analytics MCP server

MCP Analytics Suite

The statistical analyst in your AI chat. Bring a CSV (or connect a live source) and a question. A standing team of specialist agents builds a custom analysis specific to your data, validates the methodology, and ships back a citable, interactive report. The analysis is yours — it lives in your library, reruns on fresh data for a fraction of the creation cost, and is queryable from Claude, Cursor, or any MCP client. The work compounds.

This is the public listing and documentation repository. Issues, feature requests, and examples live here. The API server code is maintained separately.

Sample Reports → • Try Demo → • Pricing →

Try it before installing anything. The free tools run in the browser on a CSV you upload — no account, no key, no MCP client. Each one is a real analysis with the method written out: PCA, correlation, forecasting, RFM segmentation, regression (GLM).

Hire the team. Own the analysis. Rerun forever.

🚀 Quick Start • 🔄 How It Works • 🛠️ MCP Tools • 🛡️ Security • 📖 Documentation

Click to watch: Ask a question → upload data → get an interactive report with AI insights

Overview

You bring data and a question. A pipeline of specialist agents — spec drafter, builder, verifier, fixer, deployer — turns your question into a custom analysis for your data. The result is an interactive report: charts, AI-narrated insights, exportable PDF, embedded source code, citable. Every commissioned analysis joins your private library — query it from any MCP client, rerun on fresh data with one call, share with collaborators on your terms.

Cornerstone modules ship pre-built (t-tests, regression, churn, segmentation, forecasting, customer LTV, A/B testing, time series, survival analysis, and more) so you can see a finished report in under a minute and verify the team can build things that work. Custom analysis creation is the named revenue event — pay once to build the capability, own it, rerun for a fraction of the creation price. A build that fails is never billed.

Connect data however it lives: CSV upload, public URL, or live OAuth connectors for Google Analytics 4 and Google Search Console (more coming). Once a connector is linked, every rerun pulls fresh data automatically — no re-export step.

Choose Your Depth — Four Tiers

Every analysis runs through the same pipeline — you choose how far it goes:

Shortened. The full README is on GitHub.