// MCP Server

Ask your numbers anything, right inside Claude.

The Drivepoint MCP server connects your commerce data to Claude, so anyone on your team can ask a question in plain English and get a board-ready answer in seconds. Every number sits on a clean, vetted data layer, so you can trust what comes back.

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Inside the MCP Server

01 · Ask anything

Your whole business, one question away.

Ask in plain English and get the answer across finance, retail, inventory, and marketing, without building a report first. “What was our gross margin last month?” “Which SKUs are about to stock out?” “Which first purchase makes our best customers?” The MCP server queries your live Drivepoint data and answers in seconds, then shows where the number came from.

  • Plain-English questions across finance, ops, retail, and marketing
  • Answers in seconds, with no report or formula building
  • One session moves from channel velocity to cohort profitability
Claude chat answering stock-out and best-customer questions from live Drivepoint data
02 · Trust

Answers on a data layer you can trust.

Point a raw model at messy data and it will invent channels and margins. The MCP server queries Drivepoint’s vetted data layer instead (raw, cleaned, segmented, finished marts), so Claude reproduces the right number rather than guessing. Every answer is traceable, and you can verify any figure against your model, live on the call.

  • Claude queries finished marts, not raw, unreconciled data
  • Full lineage, so every answer traces to its source
  • Verify any number against your model in real time
Raw source data normalized into a clean, vetted data layer
03 · Bring the model to the data

It works in the tools you already use.

The MCP server plugs Drivepoint into Claude directly, so your team asks questions in the interface they already use. No exports, no copy-paste, no re-uploading your model every session. Your data, context, and finance skills stay in Drivepoint. Claude simply gets access to them, every time.

  • Native connection to Claude through MCP
  • No manual exports or re-uploading each session
  • Persistent context: your model and finance skills are always in scope
The old CSV export loop versus a live MCP connection between Drivepoint and Claude
04 · Reporting & ad-hoc analysis

Board-ready reporting, from a single prompt.

The reports that used to eat a week assemble themselves. Ask for the board package, post-close variance, the CEO daily flash, or a one-off analysis, and the MCP server builds it on your vetted data. Because it reuses the same finance skills across every request, a one-off question and a recurring board chart speak the same language.

  • Board package, variance, and daily flash on demand
  • 20+ pre-built consumer-brand finance skills, always in scope
  • Ad-hoc and recurring reporting share one data layer
Board-ready reporting assembled by finance skills on vetted data
05 · More than finance

One layer for the whole commerce org.

When the data layer is trusted and everything connects to it, the finance tool becomes the whole company’s source of truth. Marketing asks about channel performance, ops asks about inventory health, growth asks about LTV by first product. Same login, same vetted numbers, one source of truth.

  • Finance, ops, marketing, and growth on the same data
  • Inventory health, channel performance, cohort and LTV questions
  • One source of truth, so teams stop arguing over whose data is right
Finance, marketing, ops, and growth teams all querying one vetted data layer
// SEE IT WORK

Two-minute demos, straight from Claude.

Real questions, real data, no editing tricks. Watch what the MCP server does before you connect it.

Demo still: asking Claude why gross margin dropped2:54

A retail analytics dashboard from a prompt

Channel velocity, sell-through, and margin in one live view, built in Claude on vetted data.

Demo still: a board package assembling from one prompt1:31

The CEO flash report, on demand

The numbers a CEO checks every morning, answered in seconds from your live data.

// OUTCOMES

What changes when your data answers in Claude.

01

Answers in seconds, not stand-ups.

Ask in plain English and get a cited answer from your live data. No more waiting two days for an analyst to look into it.

02

Trust the number the first time.

Every answer sits on a vetted data layer and traces to its source, so you act on it instead of double-checking it.

03

Reporting that builds itself.

Board packages and variance come back from a prompt, on data you have already vetted. Minutes, not days.

04

Your whole team, not just finance.

Anyone can ask, and everyone gets the same numbers. The source of truth finally has one address.

// THE PLATFORM

Explore the full platform.

Drivepoint is a single platform with five pillars. They share one model, one data layer and one set of permissions, so the work flows.

Data & Context

Connect your financials, ops, and market data.

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Modeling

Driver-based scenarios your whole team can use.

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Reporting

Board-ready reports, generated and distributed.

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AI Agents

Agents that answer, draft, and watch, 24/7.

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MCP Server

Ask your numbers anything, right inside Claude.

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// FAQ

MCP server questions, answered.

What teams ask before they connect Claude to their numbers.

It is a connection that lets Claude, and other MCP-compatible tools, query your Drivepoint data and finance skills directly. You ask a question in plain English inside Claude and the answer comes back from your live, vetted data, with the source traceable. No exports, no formula building.

Vanilla Claude reasons from whatever you paste in and re-learns your model every session. The MCP server gives Claude a persistent connection to your vetted data layer plus 20+ consumer-brand finance skills, so it already understands retail deductions, new-versus-returning logic, and multi-channel margins without you defining them. Same model, wildly different outcome. Claude is the engine; Drivepoint is the car.

The design is built to prevent that. Claude queries finished marts, not raw data, so it reproduces the right number instead of guessing. Every answer traces to its source, and you can verify any figure against your model live.

Your data works only for you. It is not used to train shared models, and it stays inside your instance with full lineage and audit trails. Permissions are granular, so people only see what they should.

Anything your data supports: gross margin last month, channel velocity at Whole Foods, cohort profitability by first product, which SKUs are about to stock out, why you missed plan. Reporting and ad-hoc analysis are the strongest use cases today.

Try it in Claude on a sample brand at drivepoint.ai/claude. It is a guided session on sample data, about five minutes, with no setup, no sales call, and no credit card. To run it on your own numbers, book a short setup.