# expense-tracker-postgres-mcp

> expense-tracker-postgres-mcp — eeshan-anand-expense-tracker-postgres-mcp. Use this tool when you need to manage and analyze expenses efficiently, as it provides a persistent expense tracker with SQL tools for adding, editing, and deleting expenses via natural language input. It solves problems of expense organization and financial analysis, allowing users to track and understand their spending habits. The tool accepts natural language inputs and outputs expense data, making it ideal for personal finance management and budgeting.

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

## Description

Persistent expense tracker backed by Neon Postgres with SQL tools for adding, editing, deleting, and analyzing expenses via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jiqknslzyg)
- **Repository:** <https://github.com/EESHAN-ANAND/expense-tracker-postgres-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": "eeshan-anand-expense-tracker-postgres-mcp"
    }
  }
}
```

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