Expense Tracker MCP Server

Expense Tracker MCP Server

Enables users to track expenses by adding, listing, and summarizing them with category support through natural language.

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README

Expense Tracker MCP Server

A simple Expense Tracker MCP server built with FastMCP and SQLite, deployed on FastMCP Cloud.

This project demonstrates how to build, deploy, and connect an MCP server using FastMCP Cloud and Claude Desktop.

Features

Tools

  • add_expense — Add a new expense.
  • list_expenses — View expenses within a date range.
  • summarize — Generate expense summaries by category.

Resources

  • expense:///categories — Returns available expense categories and subcategories.

Tech Stack

  • Python 3.14+
  • FastMCP 3.4.0
  • SQLite
  • aiosqlite
  • FastMCP Cloud

Local Development

Run the server locally:

uv run python main.py

Open MCP Inspector:

uv run fastmcp dev inspector main.py

Deployment

This project is deployed to FastMCP Cloud.

Remote MCP Endpoint (example url):

https://splendid-gold-dingo.fastmcp.app/mcp

Claude Desktop Integration

Create a local proxy server:

from fastmcp import FastMCP

mcp = FastMCP.as_proxy(
    "https://splendid-gold-dingo.fastmcp.app/mcp", # example url, get your url from fastmcp cloud
    name="Neel Server Proxy"
)

if __name__ == "__main__":
    mcp.run()

Install the proxy into Claude Desktop:

uv run fastmcp install claude-desktop proxy.py

Restart Claude Desktop after installation.

Example Prompts

Add an expense:

Add an expense for a cab ride to Delhi last Sunday. The fare was ₹600.

List expenses:

Show all expenses between 2026-06-01 and 2026-06-30.

Summarize expenses:

Summarize my expenses for June 2026.

Categories

The server supports categories such as:

  • Food
  • Transport
  • Housing
  • Utilities
  • Health
  • Education
  • Entertainment
  • Shopping
  • Travel
  • Business
  • Investments
  • Personal Care
  • Taxes
  • Miscellaneous

Learning Goal

This project was created to learn:

  • FastMCP fundamentals
  • MCP tools and resources
  • SQLite integration
  • Async MCP tools with aiosqlite
  • FastMCP Cloud deployment
  • Claude Desktop integration via MCP

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