# Expense Tracker MCP Server

> Expense Tracker MCP Server — levi-31-expense-tracker-mcp-server. Use this tool when you need to efficiently manage personal finances, track expenses, and create budgets through intuitive natural language interactions. It solves problems of financial disorganization and provides a clear overview of spending habits, allowing for informed decisions. The tool accepts natural language inputs and outputs detailed financial summaries, making it ideal for individuals seeking to streamline their financial management.

Canonical page: https://skillsregistry.net/skills/levi-31-expense-tracker-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/levi-31-expense-tracker-mcp-server

## Description

Enables managing personal expenses, budgets, and financial summaries through natural language, with tools for adding, listing, updating, deleting expenses, setting budgets and credits, and generating dashboards.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1s3rh06jn)
- **Repository:** <https://github.com/Levi-31/expense-tracker-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": "levi-31-expense-tracker-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/levi-31-expense-tracker-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/levi-31-expense-tracker-mcp-server/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