What is LunchMoney MCP Server?

It's a Model Context Protocol (MCP) server that provides programmatic access to your LunchMoney personal finance data through its API, enabling automation for AI assistants and other MCP clients.

What specific financial data can I manage programmatically?

You gain comprehensive control over users, categories, tags, transactions (including CRUD and filtering), recurring items, budgets, assets, Plaid accounts, and cryptocurrency holdings within LunchMoney.

How do I integrate it with my AI assistant or MCP client?

You configure it within your MCP client's settings (e.g., Claude Desktop) by adding its `npx` command and supplying your LunchMoney API token in the environment variables, then restart the client.

What are the key technical highlights of this server?

It features full integration with LunchMoney API v1, a type-safe implementation using TypeScript and Zod for robust data validation, and a standard MCP server setup utilizing stdio transport for broad client compatibility.

LunchMoney

Name: LunchMoney
Author: akutishevsky

byakutishevsky

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Enables programmatic access to personal finance management within LunchMoney through its API.

This MCP server provides a standardized interface for AI assistants and other Model Context Protocol clients to interact with LunchMoney data. It offers comprehensive programmatic access to personal finance management features, including detailed control over user accounts, categories, tags, transactions (with full CRUD operations), recurring items, budgets, and assets. Built with TypeScript, it ensures type-safe interactions and leverages Zod validation for robust data handling, facilitating automated financial insights, streamlined transaction management, and efficient budgeting.

Key Features

01Comprehensive Tool Coverage: Manage users, categories, tags, transactions, recurring items, budgets, assets, Plaid accounts, and cryptocurrency holdings.

02Full CRUD operations on transactions with advanced filtering capabilities.

03Seamless integration with the LunchMoney API v1 for complete functionality.

04Type-safe implementation using TypeScript and Zod for robust data validation.

05Standard MCP server implementation utilizing stdio transport for broad client compatibility.

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Use Cases

01Automated financial insights and reporting for better financial understanding.

02Programmatic transaction management, including creation, updates, and categorization.

03Streamlined budget creation and monitoring across various spending categories.