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Cashew Expense Tracker MCP Server

@yashhere

Repository

Basic information

Category

Other

Transports

stdio

Author

yashhere

About Cashew Expense Tracker MCP Server

No overview available yet

#cashew#expense-tracker#mcp-server

Cashew Expense Tracker MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Cashew Expense Tracker MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

1

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.

2

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.

3

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.

4

What transport does the server use?

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

5

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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