Money Manager MCP Server
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- FlicenseNot gradedqualityNot gradedmaintenanceEnables personal financial management through AI assistants by providing tools to add transactions, check balances, list transaction history, and generate monthly summaries. Supports natural language interaction for tracking income and expenses with categorization.1-
- 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
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with YNAB budgets through natural language. Supports managing accounts, categories, transactions, and budget months with 21 tools for comprehensive budget operations.-
- AlicenseAqualityDmaintenanceEnables AI assistants to query and manage personal finance data through the unofficial Money Lover REST API. It provides 27 tools covering authentication, wallets, categories, transactions, events, debts, and static configuration with both read and write capabilities.336 npmISC
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access and manage personal financial data from US institutions and manual entries, including transactions, balances, liabilities, and investments.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to access and analyze MonarchMoney personal finance data through natural language queries. Provides comprehensive financial insights including account balances, transaction analysis, budget tracking, and spending patterns with enterprise-grade security.9MIT
TDQS
Scored across 18 tools
Every tool has a clearly distinct purpose with no ambiguity, as they are organized by resource types (asset, card, dashboard, init, summary, transaction, transfer) and specific actions (create, list, update, delete, get, export). The descriptions further clarify unique functions, such as dashboard_get_asset_chart for chart data versus dashboard_get_overview for overview data, ensuring agents can easily differentiate between tools.
The naming follows a consistent pattern of resource_action or resource_action_additional_detail using snake_case throughout, with minor deviations like init_get_data and summary_export_excel that slightly break the verb_noun convention but remain readable. Overall, the naming is predictable and aids in understanding tool purposes across the set.
With 18 tools, the count is well-scoped for a money management server, covering assets, cards, transactions, transfers, dashboards, summaries, and initialization. Each tool earns its place by providing necessary CRUD operations and additional functionalities like exporting and dashboard views, without being excessive or insufficient for the domain.
The tool surface offers complete CRUD/lifecycle coverage for key resources (assets, cards, transactions, transfers), along with dashboard insights, summary statistics, data export, and initialization. There are no obvious gaps; agents can perform all essential financial management tasks, from creating and updating records to analyzing trends and exporting data, ensuring no dead ends in workflows.