Skip to content

All your data and context, controlled. Served as an MCP server.

Gatlas syncs every company's tools into documented, context-efficient views and serves them to your AI agents over MCP.

Consolidated Q2 2026 revenue was DKK 14.2M, up 8% quarter on quarter. The five largest entities carried most of it; the split is below.
Published. Three headline numbers and the by-entity chart, read from the same view. The share link is scoped to this key.

Q2 revenue by entity

Consolidated revenue
14.2
Growth, quarter on quarter
8
Entities in scope
7
Revenue by entity, five largest

Gatlas reads from the tools your portfolio already runs on: accounting, commerce, analytics, CRM, and HR, across 17 sources

Shopify logoShopify
Stripe logoStripe
QuickBooks logoQuickBooks
e-conomic logoe-conomic
Xero logoXero
Google Sheets logoGoogle Sheets
Google Drive logoGoogle Drive
GA4 logoGA4
Google Ads logoGoogle Ads
Supabase logoSupabase
HubSpot logoHubSpot
Attio logoAttio
PostHog logoPostHog
Notion logoNotion
Traede logoTraede
Cal.com logoCal.com
Lattice logoLattice

Three steps to one MCP server

Connect every company’s tools, model the data into documented views, and let your agents ask, governed from the first query.

Connect

17 sources and delegated setup links: operators connect their own tools, and no credential passes through you.

Model

Curated views with AI context and column docs, so agents read the few rows that answer, not raw tables.

Ask

One MCP server with scoped keys: ask from Claude, any MCP client, the SQL workspace, or Slack. Every query logged.

Answers where your team works

Reverse syncs push numbers out of the warehouse and into Slack: digests, alerts, and answers, straight from your published views.

SQL workspace and artifacts

Query raw and modeled data in the built-in SQL workspace, and save results as artifacts your team and agents can return to.

Cross-entity consolidation

Roll results up across companies and currencies: one query spans the whole portfolio.

Per-entity isolation

Ask about one company, see only that company. Each entity’s data lives in its own isolated schema, and MCP keys are scoped to exactly the entities and views you choose.

Syncs on a schedule

Every connection syncs on its own schedule, and you can trigger a fresh run any time, from the dashboard or over MCP.

Document pipeline

Pull board packs and contracts from Google Drive, run transform prompts over them, and publish curated documents next to the numbers.

Run the whole portfolio from one place

Five supporting pieces that carry data from each company's tools to answers you can act on.

Ask in Claude, answer from the books.

Connect Claude or any MCP client to your Gatlas server and ask across every entity in plain language.

Get started

Connect the tools your companies already use

17 sources across accounting, commerce, HR, and analytics: Shopify, Stripe, QuickBooks, e-conomic, Xero, and more. Send an operator a delegated setup link and they connect their own systems: no credential ever passes through you.

Shopify
QuickBooks
Xero
HubSpot
Stripe

Everything flows through one server

Seventeen sources feed one MCP server per org, and every query an agent runs is logged, with no credential ever passing through you.

17

Live Sources

0

Credentials You Handle

1

MCP Server per Org

Governed by default

Give agents real access to the numbers without giving up control of them.

Scoped keys. Every MCP key is scoped to the entities, views, and tools you choose. An agent sees exactly what you granted, nothing else.

Scoped keys, read-only defaults, and a log of every query.

I ask in Claude and get numbers straight from our books. Questions that used to mean an afternoon in spreadsheets are now just questions.

1255

Kristoffer

Holding company, Copenhagen

Connect, curate and ask

Sync every company's tools into documented views and give your AI agents one MCP server to ask.