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Categorize Transactions

io.github.theluckystrike/categorize-transactions

Import a bank CSV, categorise it, summarise it per currency and reconcile it against your expenses.

Yes, your AI can use this right now.Answered a live MCP handshake in 233 ms with no sign-in needed and exposes 15 tools.

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Settings → Connectors → Add custom connector
URL: https://mcp.zovo.one/mcp/categorize-transactions

15 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
statement_import

Call this tool to read a bank CSV into the local ledger. Columns detected from headers (date, description, amount, currency, balance); amounts use the file's locale; stored lines skipped. Returns detected/stored/skipped.

transactions_listread-only

List stored transactions in a date range, optionally for one account or category, or only the ones no rule has categorised yet. Totals are reported per currency and never added across currencies.

transactions_searchread-only

Find transactions whose description, counterparty, category or account contains the query. Case-insensitive substring search, never a regex, so a query with brackets in it cannot hang the server.

category_rules

Read the category rules, or pass rules to REPLACE the whole list. A plain match is a substring; a regex compiles only if it cannot backtrack exponentially. An empty match is refused. Free: 5 rules.

transaction_categorize

Set or clear the category on transactions by id, for a one-off no rule is worth writing for. Every id is checked first, so one unknown id refuses the whole call. category_rules matches by text instead.

statement_summaryread-only

What was spent/received in a date range per the BANK ACCOUNT, grouped by category, month, account or counterparty. For "what did I spend in August" once imported. Totals are per currency, never summed or converted.

reconcile_expenses

Match bank debits against mcp-expense-tracker entries: same currency and amount, date within a few days. Reports matches, unmatched bank lines, expenses never hitting the bank. Read-only. Free: 31 days; Pro: any range.

recurring_detect

Find charges that come back: debits grouped by counterparty and currency with a steady amount and interval, with cadence, typical amount, next due date and annual cost. Free: 3 months, 5 charges.

statement_exportread-only

Export the BANK transactions of a date range (a month, a quarter, a year) as .csv or .json and return a download link valid for one hour. This is the tool for "export September" once a statement has been imported. Nothing partial is ever written.

accounts_listread-only

List the imported accounts: bank, currencies, transaction count, first and last date, and the closing balance when the file carried one. Start here for the account names transactions_list and statement_export take.

license_statusread-only

Report this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.

license_activate

Turn Pro on for this connection with key, an MCPL1.<payload>.<signature> issued at checkout for this server or the bundle. Data under your token stays; a wrong or expired key changes nothing. license_status confirms it.

bank_upload

Send a bank export to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with bank_upload and then pass its name as `path` to statement_import. Give exactly one of content (the export as text, header row included - this is the normal case for a CSV), content_base64 (the file's bytes, which keeps a UTF-16 export from Excel readable) or url. url: fetch a

bank_files

List the statement files stored for your token, with their sizes.

bank_delete_upload

Delete one statement file stored for your token. The transactions already imported from it are kept; transactions_list and the summary still see them.

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