We build the analysis your question needs.
MCP Analytics is a build pipeline, not a chatbot: specialist AI agents design the method, write real R, and verify the result — with human operators accountable for the system's quality. You bring the question; you own the analysis.
| ✓ a pipeline that builds custom analysis |
| ✓ real R, independently verified |
| ✓ operators accountable for quality |
| ✗ not a chatbot guessing at numbers |
| ✗ not a dashboard you have to assemble |
Our Mission
Custom analysis used to mean hiring a consultant and waiting a week. We build it with AI: bring your data and your question, and a pipeline of specialist agents designs the method, writes real statistical code, executes it on your data, and verifies the result before you ever see it. What you get back isn't a chat answer — it's a validated, citable, re-runnable analysis you own.
We're also the proof of our own idea: the company itself runs on agents — the build pipeline, the back office, the knowledge base — and we operate it in the open. You can read what our agent team shipped every day on the Daily Brief.
What We Stand Behind
Reproducible
Every report ships with the exact script that generated it. Same data, same answer — today, next quarter, next year.
Verified Before Delivery
An independent verification stage checks every analysis against your data before it reaches you — not after.
Real Code, Shown
Every number traces to executed, validated R — not a language model's best guess. The work is in the report.
You Own the Analysis
Each commissioned analysis becomes a durable module in your private library — re-runnable on fresh data whenever you need it.
Failure Honesty
If a build fails, you're never billed for it. Report an issue on a delivered analysis and we fix it or credit you back.
Open Standards
Built on the Model Context Protocol — your analyses work in Claude, ChatGPT, or any MCP-enabled assistant, and in the browser.
How an Analysis Gets Built
Every analysis is built like software, by a pipeline of specialist agents: one designs the statistical method for your question, one writes it as real R, the code executes in a sandboxed container on your actual data, and an independent verifier checks the results before delivery. Fixed seeds and pinned environments make every run repeatable.
Pick your depth — a instant Snapshot — covered by your welcome credits, a one-page Brief, or a commissioned Deck — and get it wherever you work: Claude, ChatGPT, any MCP-compatible assistant, or your browser. Read the full story on how the build pipeline works.
Ready to Get Started?
Bring your data and your question — run your first Snapshot on us — welcome credits cover it
Try Free