# Expense Tracker MCP Server

> Use this tool when you need to manage personal finances efficiently, as it solves problems of expense organization and tracking, allowing you to add, delete, and list expenses directly from a chat interface, with inputs including expense details and outputs including expense lists and financial summaries. It is particularly useful for individuals seeking to monitor and control their spending. This server provides a convenient and automated way to track expenses, making it an ideal solution for those looking to streamline their financial management.

Canonical page: https://skillsregistry.net/skills/python-blade-mcp-expense-tracker  
JSON: https://api.skillsregistry.net/v1/skills/python-blade-mcp-expense-tracker

## Description

A powerful SQLite-backed expense tracking server built with the Model Context Protocol (MCP). This server allows AI agents (like Claude) to manage your personal finances by adding, deleting, and listing expenses directly from your chat interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a40ttokb0f)
- **Repository:** <https://github.com/Python-Blade/mcp-expense-tracker>

## 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": "python-blade-mcp-expense-tracker"
    }
  }
}
```

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