# Finance MCP Server

> Use this tool when you need to manage personal finances using natural language commands, tracking income and expenses with features like transaction management and spending summaries. It solves problems like disorganized financial records and difficulty in monitoring expenses, providing outputs like balances and categorized spending reports. It takes natural language inputs and provides outputs through Claude Desktop, using SQLite for persistent storage.

Canonical page: https://skillsregistry.net/skills/taylor3lewis-finance-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/taylor3lewis-finance-mcp-server

## Description

Enables personal finance tracking through Claude Desktop using natural language to manage income and expenses with persistent SQLite storage. Supports adding and deleting transactions, checking balances, and viewing spending summaries grouped by category or month.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y1xvc08u71)
- **Repository:** <https://github.com/taylor3lewis/finance-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": "taylor3lewis-finance-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taylor3lewis-finance-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taylor3lewis-finance-mcp-server/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