Ledger MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Ledger MCP Serverhow much did I spend on groceries last month?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Ledger
Your own personal finance tracker, on your own computer. One SQLite file holds everything, and you use it from a web app, an iPhone app with home-screen widgets, or an AI assistant (Claude, ChatGPT) over MCP. Single user, no cloud account, no subscription, two npm dependencies.
What it does
Transactions across any number of accounts and currencies (non-USD rows are converted at that day's ECB rate), with categories, soft deletes, and a Review queue for anything an assistant or a bank alert wrote.
Budgets per category plus an overall monthly limit, each one opening onto the spending behind it.
Net worth: balances grouped Banking, Cards, Cash and People, reconciled against balances you record.
Receipts: photos from the phone or the web app, optionally read into line items, which feed Item Prices: what you paid for each item over time.
iPhone app: home, statistics, log spending (also from Siri, Shortcuts and a widget), receipts, item prices, accounts; widgets for spending, budgets and recent transactions; Face ID lock.
Assistants: 25 MCP tools so Claude or ChatGPT can read your ledger and log for you.
Related MCP server: Finance MCP Server
What you need
A computer that stays on | macOS, Linux or Windows, with Node.js 22.5 or newer |
Tailscale (free) | on that computer and on your iPhone, in the same tailnet. It is how the iPhone reaches your server, and the only login the iPhone needs |
For the iPhone app | an iPhone, a free Apple ID, and a Mac, a Linux machine or Windows with WSL to build it on (docs/ios.md) |
Nothing is reachable from the internet unless you choose to publish the optional MCP server.
Set it up with an agent (recommended)
Clone it, open the folder in Claude Code (or Codex, Cursor, any agent that reads AGENTS.md) and ask it to
set Ledger up. AGENTS.md walks it through five stages and checks each one before the next:
The server: installs and starts it, started again at every sign-in.
Tailscale: publishes the iPhone API on your tailnet, and nowhere else.
First setup: asks for your accounts, today's balances and your budgets, writes them, and reads them back to you.
The iPhone app: points it at your server, builds it, and installs it with your Apple ID.
Extras: only the ones you want (docs/extras.md).
It never prints your tokens and never commits your data. node scripts/doctor.cjs shows where things stand
at any point.
Set it up by hand
git clone https://github.com/saiteja007-mv/ledger.git
cd ledger
node scripts/install.cjs # server in the background, started at sign-in
node scripts/setup.cjs example > .data/setup-plan.json # edit it: your accounts and budgets
node scripts/setup.cjs apply .data/setup-plan.json
node scripts/doctor.cjs # what's working and what isn't, with fixesinstall.cjs runs the web app and the iPhone API with launchd on macOS, systemd user services on Linux and a
hidden start-up script on Windows. --mcp adds the MCP server, --uninstall removes it all and keeps your
data, and a port that's taken can be changed once, e.g. LEDGER_API_PORT=18098 node scripts/install.cjs.
Then the iPhone app: docs/ios.md. Extras (assistants over MCP, receipt reading, bank alerts, logos, currencies): docs/extras.md.
Day to day
Web app:
http://127.0.0.1:42832on the server; sign in with the token in.data/web-token.txt.iPhone: Tailscale on, then Ledger. With a free Apple ID, re-install every 7 days (
bash scripts/ios-install.sh); your data is on the server, so nothing is lost when it lapses.Update:
git pull, thennode scripts/install.cjs.Back up:
.data/is everything (database, receipt photos, tokens). Copy the whole folder.Check:
node scripts/doctor.cjs.Remove:
node scripts/install.cjs --uninstall(keeps.data/).Run in the foreground while working on it:
node web/index.cjs,node web/api.cjs,node server/index.cjs. Each generates its token in.data/on first start and prints where.
Repository layout
| the database and money rules ( |
| the web app ( |
| the iPhone app and widgets (SwiftUI, built with xtool) |
| install, doctor, first setup, iPhone config and build, importers |
| the iPhone app, the extras, the iPhone API |
|
|
Architecture
Three front doors over one SQLite file:
MCP server | Web UI | iPhone API | |
Entry point |
|
|
|
Default port |
|
|
|
Auth | bearer token | token → signed session cookie | tailnet membership |
Serves |
| the app + its REST API | one route per MCP tool (docs/api.md) |
All three go through the same server/db.cjs, so the money rules live in exactly one place.
DB: .data/finance.sqlite (gitignored — never commit). Several processes open it, so
db.cjs sets busy_timeout alongside WAL.
Auth — separate tokens per door
MCP: single bearer token at .data/api-token.txt (or FINANCE_TOKEN env), granting all
25 tools. Send as Authorization: Bearer <token>. A ?token= query fallback is also accepted
because the Claude/ChatGPT connector dialogs have no header field and a
single URL is the only way to configure them — it is strictly worse than a header, since URLs
land in proxy logs, browser history and screenshots. Prefer the header wherever the client
allows one.
Web: separate token at .data/web-token.txt (or FINANCE_WEB_TOKEN env), exchanged at
sign-in for an HMAC-signed HttpOnly cookie good for 30 days. Separate on purpose: it gets
pasted into a phone browser, so it must be revocable without breaking the ChatGPT connector.
The signing key is derived from the token, so rewriting web-token.txt invalidates every
existing session.
A read/write token split was built and then removed: both tokens lived in the same .data/
dir and were pasted into the same class of cloud connector, so the split only defended
"read client compromised, write client not" while doubling the secrets to manage. A leaked
read token is arguably the worse outcome anyway (it exposes every transaction), and writes
are soft-deleted and audited. If you ever expose this to someone other than yourself,
reinstate the split — the plumbing is a small diff in mcp.mjs.
Design rules
Money is integer cents. The source export contains
79.34999999999999.Every write is an idempotent upsert on
external_id=sha256(account|posted_at|amount_cents|currency|direction). The full timestamp is in the key because the history has 8 legitimate same-day, same-amount repeats that a date-only key would silently merge.Amounts are always positive;
directioncarries the sign.Transfers are excluded from income/expense totals.
Soft delete only (
voided_at).Imported history is
reviewed=1; LLM-written rows are not — seereview_queue.No raw-SQL / execute tool.
Web UI
Cal.com design system, single self-contained web/public/index.html — no build step, no
framework, no dependencies. Views: Overview, Transactions, Receipts, Review, Categories,
Budgets (per category plus an overall monthly limit), Prices, Accounts.
Everything the MCP tools can do, the UI can do, plus the two things chat is bad at:
Receipt images. MCP
add_receiptstores structured fields only; the UI uploads the actual photo (capture="environment"opens the phone camera). Files are content-addressed assha256.extunder.data/receipts/, so re-uploading the same photo overwrites itself rather than accumulating copies, and an abandoned form leaves at most one orphan. Uploads POST raw bytes — aBufferwrite instead of a multipart parser and a dependency.Three entry points:
Receipts tab — photo first, then type the fields; auto-matches to a transaction within 3 days and 2%.
Any transaction's detail sheet —
Add receipt photo; merchant, date and total are prefilled from the row, so it is one tap.The Add transaction sheet — pick a photo while entering the expense. The file is held client-side until the transaction exists, because a receipt needs a
transaction_idto attach to;upsertTransactionstherefore returnsids(and the same id on a repeat upsert, so a re-submit attaches to the existing row instead of a phantom one). If the upload fails the transaction is still saved, and the toast says exactly that.
Because the receipt natural key is
merchant|purchased_at|total, photographing the same purchase twice collides — soaddReceipt's conflict clause updatesimage_pathtoo (COALESCE'd, so an MCP call that sends no image can't wipe an existing one). Retaking a photo replaces it instead of silently keeping the first.The review queue.
mark_reviewedmust never be called on the user's behalf by an LLM; that flag exists precisely because an LLM transcribed the row. Confirming rows one at a time in chat is miserable, so the UI gives it checkboxes and a bulk confirm.
Receipts over MCP — 25 tools
Any connected agent can pull receipts, including the photo itself:
Tool | Returns |
| All receipts newest-first; |
| One receipt plus the transaction it is attached to |
| The photo, as an MCP image content block — a vision-capable agent reads the original instead of trusting transcribed fields |
| Replace a receipt's line items after reading its photo — web uploads have a photo but no items until someone reads them. Write weighed produce as |
| Price tracking — every item seen on receipts, grouped by normalised name + unit, with purchase count, min/avg/max unit price, latest price and % change vs the previous buy |
| Every purchase of one item, oldest first — the series behind the Prices trend chart in the web UI |
has_image is computed from the filesystem, not from image_path. add_receipt accepts an
image_path with nothing behind it, so the column alone is not proof a photo exists;
get_receipt_image says which of the two cases it hit rather than a bare "not found".
Photos are downscaled before returning (convert, longest edge 1200px default, q72,
-auto-orient for EXIF rotation). A 4.6 MB phone photo comes back at ~90 KB — 50× smaller and
still fully legible — because base64 of a raw photo would consume an agent's context for one
receipt. Without ImageMagick, oversized images are refused rather than shipped raw. PDFs return
a clear error instead of a broken image block.
Categories
There is no categories table. GET /api/categories returns a union: every category the
ledger actually uses (with count, spend, income, last-used, budget) plus the standard set from
categorize.cjs DEFAULT_RULES, flagged standard / in_use. A category becomes real the
moment it is assigned to a row.
Every category field in the UI is a <select> over that union with a trailing
+ New category… option. Free text was the obvious first choice and the wrong one: typing
"Groceries" once and "groceries" the next time creates two categories that never add up.
renameCategory bulk-moves a whole category (audited, soft — only the label changes). It
exists because 47% of the imported history sits in Other, and the live data may carry
rent alongside the standard Rent. The display label (uncategorized) maps back to
NULL on the way in, so renaming it works.
Editable fields are exactly those NOT in the external_id key — category, subcategory,
merchant, note. Amount, date, account and direction are the natural key; changing one would
orphan the row from every future re-sync. Correct those by voiding and re-adding.
Images live beside whichever DB is in use, so FINANCE_DB=/tmp/copy.sqlite keeps a test
run's uploads out of the real .data/receipts/.
Import
node scripts/import-xlsx.cjs <export.xlsx> [--dry-run]Reads columns POSITIONALLY: the export has two columns both named Accounts (B and K); K
duplicates the amount. Header-keyed reading silently treats amounts as account names.
Verify
npm test # every server test, on a throwaway database
bash scripts/ios-build.sh # the iPhone app, plus its logic checksBank of America alerts, assistants over MCP, receipt reading and the rest are in docs/extras.md.
This server cannot be deployed
Maintenance
Related MCP Connectors
Personal finance for AI agents: budgets, receipts, net worth, spend checks. Read-only OAuth.
Personal finance ledger for AI agents — query spending, track bills, forecast cash flow.
Personal-finance workspace for AI agents: accounts, spending, budgets, goals, and investments.
Personal finance for AI agents — onboard, import statements, categorize & budget over MCP.
Related MCP Servers
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to manage personal expenses through natural language conversations. Supports adding, searching, and analyzing transactions with automatic categorization and financial insights.3MIT
- AlicenseNot gradedqualityCmaintenanceTurns a personal-finance SQLite database into typed, schema-validated tools that an AI assistant can call directly, letting you manage accounts, transactions, budgets, debts, investments, tax estimates, and goals through natural language.16 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables personal finance management through natural language, including tracking income/expenses, categories, loans, subscriptions, budgets, and AI-powered insights, all backed by a local SQLite database.1-
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to manage personal finances through natural language, including adding, editing, listing, and deleting expenses, organizing them into categories, and setting monthly budgets with overspend warnings. It also provides spending summaries with month-over-month comparisons, budget status checks, and exportable Markdown or CSV reports, all backed by PostgreSQL storage with Google OAuth-authenticated per-user accounts.MIT