Skip to main content
Glama
saiteja007-mv

Ledger MCP Server

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.

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:

  1. The server: installs and starts it, started again at every sign-in.

  2. Tailscale: publishes the iPhone API on your tailnet, and nowhere else.

  3. First setup: asks for your accounts, today's balances and your budgets, writes them, and reads them back to you.

  4. The iPhone app: points it at your server, builds it, and installs it with your Apple ID.

  5. 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 fixes

install.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://127.0.0.1:42832 on 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, then node 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

server/

the database and money rules (db.cjs), the MCP server, categories, reconciliation, bills, FX, logos, net worth

web/

the web app (index.cjs, public/index.html) and the iPhone API (api.cjs)

ios/

the iPhone app and widgets (SwiftUI, built with xtool)

scripts/

install, doctor, first setup, iPhone config and build, importers

docs/

the iPhone app, the extras, the iPhone API

test/

npm test

Architecture

Three front doors over one SQLite file:

MCP server

Web UI

iPhone API

Entry point

server/index.cjs

web/index.cjs

web/api.cjs

Default port

localhost:42820

localhost:42832

localhost:8098, tailnet :8448

Auth

bearer token

token → signed session cookie

tailnet membership

Serves

/mcp and /healthz, nothing else

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

  1. Money is integer cents. The source export contains 79.34999999999999.

  2. 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.

  3. Amounts are always positive; direction carries the sign.

  4. Transfers are excluded from income/expense totals.

  5. Soft delete only (voided_at).

  6. Imported history is reviewed=1; LLM-written rows are not — see review_queue.

  7. 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_receipt stores structured fields only; the UI uploads the actual photo (capture="environment" opens the phone camera). Files are content-addressed as sha256.ext under .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 — a Buffer write instead of a multipart parser and a dependency.

    Three entry points:

    1. Receipts tab — photo first, then type the fields; auto-matches to a transaction within 3 days and 2%.

    2. Any transaction's detail sheet — Add receipt photo; merchant, date and total are prefilled from the row, so it is one tap.

    3. 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_id to attach to; upsertTransactions therefore returns ids (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 — so addReceipt's conflict clause updates image_path too (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_reviewed must 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

list_receipts

All receipts newest-first; unattached_only finds ones not linked to a transaction

get_receipt

One receipt plus the transaction it is attached to

get_receipt_image

The photo, as an MCP image content block — a vision-capable agent reads the original instead of trusting transcribed fields

set_receipt_items

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 "Red onion — 3.53 lb @ $0.59/lb" and pack sizes as "Rice 20 lb" so a per-unit price is derived

item_prices

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

item_price_history

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 checks

Bank of America alerts, assistants over MCP, receipt reading and the rest are in docs/extras.md.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Turns 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 npm
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables 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
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables 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