# Lunchmoney

> Use this tool when you need to integrate personal finance management into AI conversations, enabling users to track expenses, analyze spending, and access budget summaries through natural language interactions. It solves problems related to financial data access and analysis, providing inputs such as user financial data and outputs like transaction history and budget reports. Ideal for use cases involving personal finance tracking, budget analysis, and expense monitoring.

Canonical page: https://skillsregistry.net/skills/leafeye-lunchmoney  
JSON: https://api.skillsregistry.net/v1/skills/leafeye-lunchmoney

## Description

This MCP server provides a bridge to the Lunchmoney personal finance API, enabling AI assistants to interact with users' financial data. It offers tools for retrieving recent transactions, searching transaction history, analyzing category-specific spending, and obtaining detailed budget summaries. Developed by a third-party contributor, it aims to enhance financial management capabilities within AI conversations. The implementation is particularly useful for personal finance tracking, budget analysis, and expense monitoring use cases, allowing users to gain insights into their spending habits and financial health through natural language interactions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/leafeye-lunchmoney)
- **Repository:** <https://github.com/leafeye/lunchmoney-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leafeye-lunchmoney"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leafeye-lunchmoney` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leafeye-lunchmoney/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt