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ARTIFICIAL INTELLIGENCE

Your base, inside the AI that your team already uses.

MCP is an open standard created by Anthropic to connect AI systems to data sources with governance. LeverPro's MCP surface delivers the base already prepared and translated by the management chart of accounts — so a question asked in ChatGPT or Claude is answered on the same figure that closes the P&L, not on a file someone uploaded.

The standard
MCP, open
What it serves
The base already prepared
Permission
The same as the user's
The month's metrics on the base MCP serves to other AIs. Executive Dashboard

Companies already operating on LeverPro

  • Mater Dei logo
  • Contabilizei logo
  • Condor logo
  • Fujifilm logo
  • Tenda logo
  • Grupo SEB logo
  • Bem Brasil logo
  • Globo Ventures logo

5 business days

for the P&L to be ready at Distrivisa — before, it only closed on the 15th

Distrivisa

+100

ERPs integrated natively, the Brazilian ones included

12

native surfaces reading the same base

ISO 27001

information security management

WHAT HOLDS IT UP TODAY

Today the team's AI works with whatever someone pasted into it

None of these is the team's lack of effort. They are limits of where the data lives.

  • The team already uses AI, uploading spreadsheets by hand

    The question is good and the answer is about a stale slice, exported by someone last week. And the file with the company's result ends up stored in a chat thread.

  • Each AI tool becomes another copy of the data

    One export per tool, and the company ends up with as many versions of the figure as it has AIs in use.

  • Nobody knows what the AI can read

    Without the platform's permission control in between, an analyst's question can reach what only the board should see.

WHAT CHANGES

Whichever AI the team picks, reading the base with their permissions

  1. Data arrives prepared, not raw

    What the surface serves is the base after the Data Hub: consolidated and translated by the management chart of accounts. The external AI does not need to understand each group company's chart of accounts.

  2. Permission is the same as inside

    An external agent reads what its user could read on the platform — by area and by data slice — and nothing more. Governance does not stay outside.

  3. No copy, no load

    There is no export and no parallel base going stale. The AI queries the same base the P&L reads, as it stands.

  4. It holds for whichever AI the team picks

    ChatGPT, Claude or an agent of your own: the standard is open, so choosing the tool stops being a decision about where the data will live.

THE PATH OF A QUESTION

From the external AI to the entry

Three steps, and permission travels through all of them.

  • The base

    The ERPs' ledger, prepared and translated by the management chart.

  • Permission

    The external AI gets the slice of whoever asked.

  • The answer

    The same figure that closes the P&L, with a trail to its source.

Thirty minutes on how your planning runs today.

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“With LeverPro we gained organized information and confidence in decision-making. The P&L, which used to close only on the 15th, is now ready in 5 business days — and the forecast went from one-off to routine.”
Vitor Pereira · Managing partner
Distrivisa · Distribution

QUESTIONS

What people usually ask

If yours is not here, ask — we reply within one business day.

What is MCP?
Model Context Protocol is an open standard created by Anthropic so that AI systems can connect to data sources and working tools while respecting permissions and governance. It is what lets an assistant like ChatGPT or Claude query a platform without anyone exporting a file.
What does LeverPro's MCP surface deliver?
The base already prepared: consolidated by the Data Hub and translated by the management chart of accounts. The external AI queries the same data the P&L reads, with no reload and no copy.
Does the external AI see everything?
No. It reads what the user who asked could read inside the platform, by area and by data slice. Permission does not stay outside the connection.
Which tool does it work with?
With any that speaks MCP — the standard is open. In practice it is ChatGPT, Claude and in-house agents built by the company's data team.
What is the difference between MCP and Levir AI?
Levir AI is LeverPro's AI, working inside the platform. MCP is the other direction: LeverPro's base available to the AI the team already uses outside it.

RECOGNITION

  • TOP 100 Open Startups, 2025 ranking
  • 1st place at the IBEF-SP Fintech Award 2024
  • NEEX Award, by Exame
  • 100 Open Startups, ranked 2021 to 2024

Four years running in the 100 Open Startups ranking.

HOW YOUR DATA IS KEPT

  • Who gets in

    Corporate authentication through the identity provider the company already uses.

  • Who sees what

    Permission by area and by slice, on the same base — with no copy of the file.

  • Where the figure came from

    A trail from the consolidated figure to the source accounting entry.

  • How the data comes out

    Export guaranteed. The data belongs to your company.

See the Security page

Let's look at your budget cycle

Thirty minutes with people who do this every day, about how your planning runs today.
You leave knowing what can be solved first — or with us telling you it doesn't make sense.

Book a diagnostic

No spam and no mailing list — we reply within one business day.

What happens in the conversation

  • You tell us how planning runs today
  • We point out what can be solved first
  • Where LeverPro fits into your ERP and your spreadsheets
  • Or we tell you it doesn't make sense, and that's that

How your data is kept

ISO 27001LGPDSSO / SAMLExportable data

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