No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by akutishevsky · MCP Server · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is lunchmoney-mcp safe to install? View the security audit →
LunchMoney MCP Server A Model Context Protocol (MCP) server implementation for LunchMoney, providing programmatic access to personal finance management through LunchMoney's API. Also available as an MCP Bundle (.mcpb) for easy installation in Claude Desktop. Heads up — v2.0.0 is a breaking release. This server now targets LunchMoney's v2 API (, currently in alpha). It is not backwards-compatible with v1.x of this server: tool names, fields, and endpoint shapes have changed (for example, is now , arrays are now , transaction ass
| Stars | 90 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.1193059439093/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-03 |
| Created | 2025-07-27 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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lunchmoney-mcp is A Model Context Protocol (MCP) server implementation for LunchMoney, providing programmatic access to personal finance management through LunchMoney's API.. It is categorized as a MCP Server with 90 GitHub stars.
lunchmoney-mcp is primarily written in TypeScript. It covers topics such as dxt, lunchmoney, lunchmoney-api.
You can find installation instructions and usage details in the lunchmoney-mcp GitHub repository at github.com/akutishevsky/lunchmoney-mcp. The project has 90 stars and 15 forks, indicating an active community.
lunchmoney-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lunchmoney-mcp on Agent Skills Hub include awesome-claude-dxt, mcp-linker, fastmail-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: