# Lunch Money MCP Server

> Use this tool when you need to manage financial data through natural language commands, enabling AI assistants to interact with accounts and perform tasks such as transaction management and budgeting. It solves problems related to financial account management, categorization, and budget tracking, providing a seamless interface for AI-powered financial management. The Lunch Money MCP Server accepts natural language inputs and returns financial data outputs, ideal for use cases involving voice-controlled or text-based financial account management.

Canonical page: https://skillsregistry.net/skills/matiasl13-lunchmoney-mcp  
JSON: https://api.skillsregistry.net/v1/skills/matiasl13-lunchmoney-mcp

## Description

A Model Context Protocol server that allows AI assistants to interact with Lunch Money accounts, enabling management of transactions, categories, budgets, and other financial data through natural language commands.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eitm4umrhn)
- **Repository:** <https://github.com/MatiasL13/lunchmoney-mcp>

## 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": "matiasl13-lunchmoney-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/matiasl13-lunchmoney-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/matiasl13-lunchmoney-mcp/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