remote MCP engine: live·setups that can reach your files →·1M tokens free
For Manufacturers

Your AI can run your manufacturing shop's books. Really.

Add the FinStat connector to Claude Code, Codex, Cursor, Grok Build, or Claude Desktop with Cowork. Then drop in your PO-based customer invoices, raw material and utility bills, freight invoices, and bank statements, and it hands you a review-ready P&L, every transaction tied to its source.

Connect FinStat →1M tokens free · no credit card
Point your AI at a folder like this and say “run my books.”
Customer invoice — Apex, PO #APX-9014, $24,800
Customer invoice — Butler, PO #BPP-7841, $18,400
Raw materials — A36 plate, alloy bar, $18,284
Industrial electric — energy + demand
LTL outbound freight — two legs
CNC tooling service + emergency callout
Shop-floor PPE receipt
Checking — April

Reconciled to the penny. Then ask your AI anything about your books.

Apex invoice · PO #APX-9014
$24,800.00
Butler invoice · PO #BPP-7841
$18,400.00
Steel raw materials · Apr
$18,284.00
Checking close · May
$39,135.20

Figures from the Forgeline Metalworks LLC sample case — a fictional business — every transaction tied to its real source document, balanced and review-ready.

Pick your setup. Books in minutes.

FinStat needs an AI that can open files or folders on your computer — not just a connector in Settings. Seeing FinStat’s tools is not the same as FinStat being able to access the files you want it to.

Your computer
Setups that can reach your files

Claude Code

verified on Windows

Reads the folder you launch it in

Run thisclaude mcp add --transport http finstat https://mcp.finstat.ai/mcp
  1. Open Claude Code in the folder that holds your documents.
  2. Run the command above — it installs FinStat directly, no prompting needed.
  3. Sign in when the browser opens — your free 1M tokens load automatically.
  4. Ask it to run your books on the files in that folder.

You don’t need real statements or documents to learn FinStat. Say Run FinStat Tutorial or Get Started — your AI can make sample documents and walk you through all of it.

Working in a browser tab?

To run books, use a desktop AI that can reach your files. Browser chat alone isn’t enough for FinStat — even if FinStat appears under your connectors.

We only list setups we’ve run books on ourselves. Verified as of 2026-07-20.

  • No API keys
  • No credit card
  • 1M tokens free

It really is that easy.

What is MCP?

The parts that eat your evening. FinStat catches every one.

PAIN_01

PO-based customer invoices pay Net 30, so large deposits have to be tied back to the right job and purchase order

PAIN_02

Raw material, electricity demand charges, freight, and tooling bills all hit by ACH and must be matched to vendor bills

PAIN_03

Several customers pay by deposit only — Meridian, Lakeside, Cascade — with no invoices in the folder

The catch other tools miss

It ties the $24,800 Apex Hydraulics PO invoice and $18,400 Butler Precision invoice to their exact April deposits, then flags the Meridian $12,840, Lakeside $9,200, and Cascade $18,200 customer deposits that arrived with no invoices anywhere in the folder.

Three steps. Every one secure.

Connect once.

Paste the FinStat connector into your AI host (Claude, Cursor, etc.). Sign in — your free tokens load. No card. Then say: help me get started.

Scoped sign-inYou authenticate with FinStat — your AI never handles your password, and the connector is scoped to the accounting task.

Hand over the documents.

Give your AI your statements, payouts, receipts, and bills — attach them, or on a setup that reads folders, point it at one: run my books on the files in this folder.

Task-scoped dataYour statements are used only to do the job you asked for — not sold, not shared.

Ask for any report.

Give me a P&L.Reconcile May.Show every uncategorized transaction.Review-ready accounting output, in chat.

Nothing off-screenEvery transaction, entry, and assumption shows up in the conversation — your session is the working record, so you can question any number and correct it on the spot.

Built by the BadBank.ai team — the same people who have been turning financial PDFs into accounting data since 2024.

Patents pending