Finance Tracking MCP
Finance Tracking MCP
Небольшой MCP сервер для отслеживания личных расходов, созданный на базе FastMCP и SQLAlchemy поверх SQLite.
Инструменты
Инструмент | Описание |
| Добавить новый расход (название, сумма, категория, опционально дата и заметка). По умолчанию — сегодняшняя дата. |
| Обновить существующий расход по ID — изменяются только переданные поля. |
| Итоги и разбивка по категориям, опционально с фильтром по категории и/или месяцу ( |
Related MCP server: Expense Tracker MCP Server
Ресурсы
URI | Описание |
| Список категорий из |
Требования
Python 3.12+
Запуск
uv run main.pyПри первом запуске сервер создаёт expenses.db рядом с main.py. Этот файл находится в .gitignore, поэтому ваши данные остаются локальными.
Использование с Claude
Добавьте сервер в конфигурацию вашего MCP-клиента, например:
{
"mcpServers": {
"finance-tracking": {
"command": "uv",
"args": ["run", "--directory", "/path/to/finance-tracking-mcp", "main.py"]
}
}
}Структура проекта
main.py # MCP server: tools, resource, and SQLAlchemy models
categories.json # Category list exposed via the expense://categories resource
pyproject.toml # Project metadata and dependenciesMaintenance
Resources
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If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables users to track and manage daily expenses through SQLite storage, supporting operations like adding, updating, deleting expenses, calculating totals by category, and filtering expenses by date range or category.
- FlicenseAqualityDmaintenanceEnables tracking and managing personal expenses through a local SQLite database. Supports adding, editing, deleting, listing, and summarizing expenses by category, as well as managing credit accounts.6
- FlicenseNot gradedqualityDmaintenanceEnables natural language management of personal expenses, including adding, listing, and summarizing expenses with local SQLite storage.
- FlicenseBqualityDmaintenanceTracks and manages personal expenses with tools to add, view, filter by category, and summarize spending over date ranges using SQLite storage.4
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