# expenses-tracker-mcp

> expenses-tracker-mcp — samu187-expenses-tracker-mcp. Use this tool when you need to efficiently manage and analyze local expenses, as it enables read-only SQL queries and transaction classification for tracking, filtering, and assigning accounts. It solves problems related to expense organization and reporting, providing features like listing, filtering, and bulk account assignment with a dry-run mode for testing. Ideal for personal finance management, small business accounting, or budgeting applications, it accepts expense data as input and outputs classified transactions and summary reports.

Canonical page: https://skillsregistry.net/skills/samu187-expenses-tracker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/samu187-expenses-tracker-mcp

## Description

Enables read-only SQL queries and transaction classification tools for local expense tracking, including listing, filtering, and bulk account assignment with dry-run mode.

## Trust

- **Trust score (0–1):** 0.68
- **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/izrojo5kgy)
- **Repository:** <https://github.com/samu187/expenses-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": "samu187-expenses-tracker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samu187-expenses-tracker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samu187-expenses-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