Expense Tracker MCP Server

Expense Tracker MCP Server

Enables logging and tracking personal expenses in a local SQLite database with category/subcategory validation, offering tools to add, view, summarize, and delete expenses.

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README

Expense Tracker MCP Server

An asynchronous Model Context Protocol (MCP) server built with Python and FastMCP to log and track personal expenses inside a local SQLite database with strict category/subcategory checks.

Features

  • SQLite Database Backend: Logs expenses locally in expenses.db using aiosqlite.
  • Asynchronous Execution: Fully utilizes asyncio and async database connections.
  • Categorization: Validates categories and subcategories against a custom JSON hierarchy (categories.json).
  • Exposed Tools:
    • add_expense: Add a new transaction (validates amount, category, and dates).
    • get_expenses: View matching logs with optional category, subcategory, start date, and end date filters.
    • get_expense_summary: View spent totals, item count, and percentages grouped by category.
    • delete_expense: Remove transaction logs by database ID.
  • Exposed Resources:
    • expense://categories: Returns the JSON representation of categories and their subcategories.
    • expense://categories/{category}/subcategories: Returns subcategories for a given category in JSON format.

Files Structure

  • [main.py](file:///d:/coding/expense-tracker-mcp-server/main.py): Server entrypoint containing initialization, SQLite queries, MCP tools, and MCP resource declarations.
  • [categories.json](file:///d:/coding/expense-tracker-mcp-server/categories.json): Configuration file specifying categories and subcategories.
  • [pyproject.toml](file:///d:/coding/expense-tracker-mcp-server/pyproject.toml): Package configuration with metadata and dependency requirements (fastmcp and aiosqlite).
  • [.gitignore](file:///d:/coding/expense-tracker-mcp-server/.gitignore): Configured to ignore virtual environments, cache directories, and local database files.

Installation

Ensure you have uv installed.

To sync dependencies:

uv sync

Running the Server

To start the MCP server locally:

uv run python main.py

Development and Testing

A test suite is available under the artifacts directory. To run the async test suite:

uv run python C:\Users\User\.gemini\antigravity-ide\brain\7f833c64-f9e4-404b-a691-0d0df923616c\scratch\test_server.py

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