# Quicken MCP Server

> Use this tool when you need to analyze and query financial data from Quicken QIF files, converting them into a DuckDB database to solve data accessibility and analysis problems. It takes Quicken QIF files as input and outputs a queryable database, enabling large language models (LLMs) to retrieve transaction, account, and summary information. Ideal for use cases requiring financial data insights and automation, such as expense tracking, budgeting, and financial reporting.

Canonical page: https://skillsregistry.net/skills/sgoley-quicken-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sgoley-quicken-mcp-server

## Description

Converts Quicken QIF files into a queryable DuckDB database and exposes financial data through MCP tools, enabling LLMs to query transactions, accounts, and summaries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/gv92qe00cl)
- **Repository:** <https://github.com/sgoley/quicken-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": "sgoley-quicken-mcp-server"
    }
  }
}
```

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