What does “human‑in‑the‑loop” security mean?
All actions require user approval; you will be asked to approve each request to access your Lunchmoney data.
@leafeye
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"lunchmoney": {
"command": "npx",
"args": [
"-y",
"lunchmoney-mcp-server"
],
"env": {
"LUNCHMONEY_TOKEN": "your_token_here"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that lets you interact with your Lunchmoney transactions and budgets through Claude and other AI assistants. It enables natural‑language queries about your spending, budget analysis, and financial insights while keeping your API token local.
Install Node.js, obtain a Lunchmoney API token from your developer settings, then add the server configuration to Claude Desktop’s Developer settings (Settings → Developer → Edit Config) as a JSON entry with the npx command and the LUNCHMONEY_TOKEN environment variable. Restart Claude Desktop after configuration changes.
All actions require user approval; you will be asked to approve each request to access your Lunchmoney data.
The token stays on your local machine and is never sent to Claude or any external service.
Budget dates must use month boundaries (e.g., `2024-01-01` to `2024-01-31`). Transactions can use any date range.
Ensure the configuration in Claude’s Developer settings is correct, restart Claude Desktop after changes, and verify that your API token is valid.
Node.js must be installed on your computer to run the server via `npx`.

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