# expense-tracker-mcp

> expense-tracker-mcp — azeemwaqarrao-expense-tracker-mcp. Use this tool when you need to efficiently manage personal expenses through natural language interactions. It solves problems of expense organization and tracking, allowing users to log and query expenses with ease, and features category inference and recurring expense management. The tool accepts natural language sentences as input and outputs expense summaries and queries, making it ideal for personal finance management.

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

## Description

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tmxr6tuap2)
- **Repository:** <https://github.com/AzeemWaqarRao/expense-tracker-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": "azeemwaqarrao-expense-tracker-mcp"
    }
  }
}
```

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