# Penni

> Use this tool when you need to streamline financial management and accounting tasks by connecting QuickBooks Online to your desktop and cursor tools. Penni enables natural language queries and actions, solving problems such as manual data entry and tedious reporting, with inputs including API keys and outputs including real-time financial data and automated accounting actions. It is ideal for small businesses and accounting professionals seeking to automate financial tasks and gain AI-powered insights.

Canonical page: https://skillsregistry.net/skills/penni  
JSON: https://api.skillsregistry.net/v1/skills/penni

## Description

Penni connects QuickBooks Online to Claude Desktop and Cursor through MCP, enabling natural language financial queries and accounting actions. Free tier tools include real-time bank balance queries, profit and loss reporting, and invoice tracking. The paid tier ($149/month) adds expense posting, invoice creation and sending, and AI-powered financial analysis. Financial data remains stored in your QuickBooks account. Launch with `npx penni-mcp` and configure with an API key from the Penni dashboard.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/penni)
- **Repository:** <https://github.com/cwhittemore1010/penni-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": "penni"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/penni` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/penni/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
