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Sync bank data to Postgres and answer spending questions in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cadê Meu Dinheiro" yet — see the docs or source repo.
Using my bank transactions, calculate total spending this month and list the top five categories.
Returns this month’s total spending and a category breakdown.
Find unusual or frequently recurring transactions from the last 30 days and explain why they stand out.
Returns a list of suspicious transactions with brief explanations.
Compare my budget against actual spending and tell me which categories are over budget and which are still on track.
Returns budget status and over-budget categories.
Useful for people who want a fast view of spending patterns. It turns bank transactions into a queryable dataset for reviewing expenses, budgets, and categories.
When you need to verify whether transactions were categorized correctly or how categorization rules affect analysis, you can ask the data directly.
Fits workflows already using Pluggy and Postgres. It syncs bank data into the database and exposes MCP tools for natural-language queries.
It is an MCP tool that syncs bank data from Pluggy to Postgres and supports natural-language questions about spending, budgets, transactions, and categorization rules.
Based on the description, you need a Pluggy bank-data source and a Postgres database. For exact setup details, see the source repository.
It does more than sync data: via MCP, you can ask natural-language questions directly against financial data in the database. It is better suited to interactive analysis than static reports.
Securely let AI query bank balances and transactions via Plaid CLI.
Connect an MCP server for AI-assisted personal finance analysis and management.
Let Claude access bank balances and transactions through a self-hosted Plaid server.
Connect Brazilian bank accounts and manage financial data with natural language.
Connect Mercado Pago so AI can access balances, statements, cards, and investments.
Turn bank transactions into digests with forecasts, spending analysis, and receipt matching.