Lunch Money MCP Server
MCP server for Lunch Money — a developer-friendly personal budgeting and financial tracking app. Enables AI agents to query transactions, review budget categories, check account balances, analyze spending patterns, and interact with Lunch Money's financial data — supporting AI-driven personal finance management workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Highly sensitive financial data. Full account access API token. HTTPS. Strict data handling required.
⚡ Reliability
Best When
A Lunch Money user wants AI agents to analyze their spending, summarize finances, and provide insights — accessing their financial data through Lunch Money's well-documented API.
Avoid When
You use YNAB or other budgeting tools. Also: financial data is highly sensitive — implement strict access controls and only use read-only API access for agents.
Use Cases
- • Querying transactions and spending history from personal finance agents
- • Analyzing budget categories and spending patterns from financial planning agents
- • Checking account balances and net worth from financial summary agents
- • Generating spending insights and budget recommendations from AI financial advisors
Not For
- • Teams using other budgeting apps (YNAB, Mint, Personal Capital) without Lunch Money
- • Business accounting requiring double-entry bookkeeping
- • Automated financial transactions (read-only financial data)
Interface
Authentication
Lunch Money API token required — generate at lunchmoney.app/developers. Single-token API with full account access.
Pricing
Lunch Money is $10/month. MCP server is free open source community tool. API included with subscription.
Agent Metadata
Known Gotchas
- ⚠ Lunch Money API token provides full account access — treat as highly sensitive credential
- ⚠ Financial data (transactions, balances, account info) is extremely sensitive — restrict agent access
- ⚠ Community tool — not official Lunch Money integration; verify API compatibility with current version
- ⚠ Lunch Money has excellent developer API docs — good foundation for reliable integration
Alternatives
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Scores are editorial opinions as of 2026-03-07.