# Expense Tracker MCP Server

> Expense Tracker MCP Server — pranapragada7-expense-tracker. Use this tool when you need to manage expenses efficiently using natural language inputs, converting user requests into validated database operations to add, search, update, delete, and summarize expenses. It solves problems related to expense tracking, organization, and analysis, providing a user-friendly interface for expense management. The tool takes natural language requests as input and outputs validated database operations, making it ideal for streamlining expense management workflows.

Canonical page: https://skillsregistry.net/skills/pranapragada7-expense-tracker  
JSON: https://api.skillsregistry.net/v1/skills/pranapragada7-expense-tracker

## Description

Enables natural language expense management by converting user requests into validated database operations, including adding, searching, updating, deleting, and summarizing expenses through MCP tools over SQLite.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oygsjwuclj)
- **Repository:** <https://github.com/PranaPragada7/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": "pranapragada7-expense-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pranapragada7-expense-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pranapragada7-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