一个本地 Model Context Protocol (MCP) 服务器，用于个人 Expense Tracker，使用 Python 和 SQLite3 构建。
add_expense — 添加一笔支出；减少可用信用额度
list_expenses — 列出支出（最新的在前），可按类别筛选
summarize_expenses — 按类别统计总额、笔数、已添加信用额度和可用信用额度
edit_expense — 编辑一笔支出；按金额差额调整信用额度
delete_expense — 删除一笔支出；将金额退还到信用额度
add_credit — 向可用余额添加信用额度
所有更改余额的操作都在 SQLite 事务中运行。
Related MCP server: Expense Tracker MCP Server
local MCP server/
├── main.py # MCP server + tool definitions (entry point)
├── expense_tracker/
│ ├── __init__.py
│ ├── database.py # SQLite connection + schema setup
│ └── operations.py # Core expense/credit business logic
├── pyproject.toml # Project config (fastmcp dependency)
├── uv.lock # Lockfile
└── README.md数据库文件 expense_tracker.db 会在首次调用工具时自动创建。
克隆仓库：
git clone https://github.com/YogeshSharma2007/Local-Expense-tracker-MCP.git
cd Local-Expense-tracker-MCP创建并激活虚拟环境：
python -m venv .venv
.\.venv\Scripts\Activate.ps1安装依赖：
uv sync # or: pip install -e .python main.py然后在你的 MCP 客户端中将该服务器注册为本地 MCP stdio 服务器。
添加到你的 OpenCode 配置（opencode.json 或你的客户端配置所在位置）：
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"local-mcp": {
"type": "local",
"command": [
"<path-to-repo>\\.venv\\Scripts\\python.exe",
"<path-to-repo>\\main.py"
],
"enabled": true
}
}
}将 <path-to-repo> 替换为你克隆此仓库的完整路径，例如：
C:\Users\<your-username>\Documents\Local-Expense-tracker-MCP数据库路径默认为项目文件夹中的 expense_tracker.db。可通过环境变量覆盖：
$env:EXPENSE_TRACKER_DB = "C:\path\to\expense_tracker.db"This server cannot be installed
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