Expense Tracker MCP Server

Expense Tracker MCP Server

Enables users to manage personal expenses, analyze spending patterns, track budgets, generate reports, and export data through natural language conversations with Claude.

Category
访问服务器

README

Expense Tracker MCP Server

An AI-powered Expense Tracker built using FastMCP, SQLite, and Claude Desktop.

This MCP (Model Context Protocol) server enables Claude to manage personal expenses, analyze spending patterns, track budgets, generate reports, and export data through natural language conversations.


Features

Expense Management

  • Add expenses
  • Update expenses
  • Delete expenses
  • Search expenses
  • List expenses by date range

Analytics

  • Monthly spending reports
  • Category-wise spending summaries
  • Spending insights
  • Largest transactions analysis
  • Top spending categories

Budget Management

  • Set monthly budgets
  • Track budget utilization
  • Monitor remaining budget

Export

  • Export expenses to CSV

AI Integration

Works with Claude Desktop through MCP.

Example queries:

  • "Add ₹250 for lunch today."
  • "Show my expenses for June."
  • "What was my highest spending category this month?"
  • "Have I exceeded my food budget?"
  • "Export all expenses from May."

Tech Stack

  • Python 3.11+
  • FastMCP
  • SQLite
  • Claude Desktop
  • JSON

Project Structure

expense-tracker-mcp-server/
│
├── main.py
├── expenses.db
├── categories.json
├── exports/
│   └── *.csv
├── pyproject.toml
└── README.md

Database Schema

Expenses Table

CREATE TABLE expenses(
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    date TEXT NOT NULL,
    amount REAL NOT NULL,
    category TEXT NOT NULL,
    subcategory TEXT DEFAULT '',
    note TEXT DEFAULT ''
);

Budgets Table

CREATE TABLE budgets(
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    category TEXT UNIQUE NOT NULL,
    monthly_limit REAL NOT NULL
);

Installation

Clone Repository

git clone https://github.com/your-username/expense-tracker-mcp-server.git

cd expense-tracker-mcp-server

Create Virtual Environment

Windows:

python -m venv mcp_venv

mcp_venv\Scripts\activate

Linux / macOS:

python -m venv mcp_venv

source mcp_venv/bin/activate

Install Dependencies

pip install -r requirements.txt

or

pip install fastmcp

Running the MCP Server

python main.py

MCP Tools

Tool Description
add_expense Add a new expense
list_expenses View expenses within a date range
update_expense Modify an existing expense
delete_expense Remove an expense
search_expenses Search expenses by keyword
summarize Category-wise spending summary
monthly_report Monthly spending statistics
spending_insights Advanced spending analysis
set_budget Create or update a budget
get_budget_status Track budget utilization
export_csv Export expenses to CSV

Claude Desktop Integration

Add the following configuration to Claude Desktop:

{
  "mcpServers": {
    "expense-tracker": {
      "command": "python",
      "args": [
        "C:\\path\\to\\expense-tracker-mcp-server\\main.py"
      ]
    }
  }
}

Restart Claude Desktop after updating the configuration.


Example Prompts

Add Expense

Add ₹500 for groceries today.

Get Spending Insights

Give me spending insights for 2026-06.

Budget Tracking

Set my food budget to ₹10000.
How much budget is remaining for food this month?

Export Data

Export all expenses from June 2026.

Future Improvements

  • Income tracking
  • Recurring expenses
  • Expense forecasting
  • AI-generated financial recommendations
  • Category trend analysis
  • Monthly comparison reports
  • Dashboard integration
  • Multi-user support
  • PostgreSQL support

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选