Cashew Expense Tracker MCP Server

Name: Cashew Expense Tracker MCP Server
Author: yashhere

@yashhere

リポジトリ

Cashew Expense Tracker MCP Server について

概要はまだありません

#cashew #expense-tracker #mcp-server

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

yashhere

設定

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": {
    "cashew-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Cashew Expense Tracker MCP Server?

An MCP (Model Context Protocol) server that provides access to your Cashew expense tracker SQLite database. It exposes table schemas as resources, provides tools for running read-only SQL queries, and includes prompts for common data analysis tasks.

How to use Cashew Expense Tracker MCP Server?

Install dependencies with uv sync, then run the server with uv run python cashew_mcp_server.py. Use --use-main-db to access the main Cashew database or --db-path to specify a custom database path. Integrate with MCP clients like Claude Desktop or VSCode by adding the server configuration to their MCP settings files.

Key features of Cashew Expense Tracker MCP Server

Database schema resources: access complete table schemas.
Read-only SQL query tools: safe SELECT queries.
Data analysis prompts: common expense analysis tasks.
Multiple database support: test and production databases.
Safety: only read-only operations allowed.

Use cases of Cashew Expense Tracker MCP Server

Analyze spending patterns with category breakdowns and trends.
Evaluate budget performance and get adjustment recommendations.
Compare income vs expenses for cash flow analysis.
Detect expense anomalies like unusual spending or duplicate transactions.

FAQ from Cashew Expense Tracker MCP Server

How does the server ensure data safety?

The server only allows read-only SELECT queries. Dangerous SQL keywords are blocked, inputs are validated, and error handling provides informative messages.

What are the runtime requirements?

The project uses Python and the uv dependency manager. An SQLite database file from the Cashew expense tracker is required.

Where does the data come from?

Data is read from a local Cashew expense tracker SQLite database file. The server does not modify the database.

What transport does the server use?

The server uses the stdio transport for communication with MCP clients.

Can I switch between test and production databases?

Yes, use the --use-main-db flag for the main database or --db-path to specify any custom path.

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