# QuickBooks MCP Server

> Use this tool when you need to streamline financial data retrieval and management by querying QuickBooks data using natural language. It solves problems related to accessing and managing financial information, such as retrieving account balances, bill statuses, and customer details. The QuickBooks MCP Server takes natural language inputs and returns relevant financial data outputs, making it ideal for use within Claude Desktop for efficient financial data management.

Canonical page: https://skillsregistry.net/skills/nikhilgy-quickbooks-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nikhilgy-quickbooks-mcp-server

## Description

A secure, local-first MCP server that enables users to query QuickBooks data such as accounts, bills, and customers using natural language within Claude Desktop. It provides a direct interface to the QuickBooks API for streamlined financial data retrieval and management.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ffirs6k3bb)
- **Repository:** <https://github.com/nikhilgy/quickbooks-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": "nikhilgy-quickbooks-mcp-server"
    }
  }
}
```

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