Lunchmoney

About

Enables users to connect their Lunchmoney financial data to AI assistants like Claude, allowing for natural language queries about spending, budgets, and financial insights. By running a local MCP server, users can interact with their Lunchmoney data securely, approving each request to access financial information. Claude can then request specific, relevant data, ensuring privacy and preventing direct access to the user's full financial data or API token.

Key Features

• View recent transactions
• Search transactions by keyword
• Analyze spending by category
• Get detailed budget summaries
• Securely connect to Lunchmoney data through a local server

Use Cases

• Ask questions about spending habits using natural language.
• Analyze budget performance and identify areas of overspending.
• Find specific transactions based on keywords or categories.