# Expense Tracker MCP Server

> Use this tool when you need to manage personal expenses through natural conversation, enabling expense tracking, categorization, and financial summaries. It solves problems of disorganized expense records and limited financial insights, providing a comprehensive interface for storing and retrieving expense data through CRUD operations. Ideal for use in personal finance management applications, it accepts natural language inputs and outputs detailed financial summaries and expense reports.

Canonical page: https://skillsregistry.net/skills/khushi-c-sharma-expense-tracker-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/khushi-c-sharma-expense-tracker-mcp-server

## Description

Enables AI assistants to manage personal expenses through natural conversation, supporting expense tracking, categorization, filtering, and financial summaries. Uses SQLite database to store expense records with full CRUD operations for comprehensive personal finance management.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bl4nig54i4)
- **Repository:** <https://github.com/Khushi-c-sharma/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": "khushi-c-sharma-expense-tracker-mcp-server"
    }
  }
}
```

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

---
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