Finance Tracking MCP
Finance Tracking MCP
一个用于跟踪个人开支的小型 MCP 服务器,基于 FastMCP 和 SQLAlchemy 构建,底层使用 SQLite。
工具
工具 | 描述 |
| 添加新支出(标题、金额、类别、可选日期和备注)。默认使用今天的日期。 |
| 按 ID 更新现有支出——仅更改您传入的字段。 |
| 总计和按类别细分,可选按类别和/或月份( |
Related MCP server: Expense Tracker MCP Server
资源
URI | 描述 |
| 来自 |
要求
Python 3.12+
运行
uv run main.py服务器在首次运行时会在 main.py 旁边创建 expenses.db。该文件已被 gitignore,因此您的数据保留在本地。
与 Claude 一起使用
将服务器添加到您的 MCP 客户端配置中,例如:
{
"mcpServers": {
"finance-tracking": {
"command": "uv",
"args": ["run", "--directory", "/path/to/finance-tracking-mcp", "main.py"]
}
}
}项目结构
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
Unclaimed servers have limited discoverability.
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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
Related MCP Connectors
Personal finance by conversation: expenses, receipts, statement import, budgets, net worth.
Explore, query, and inspect SQLite databases with ease. List tables, preview results, and view det…
Log, query, and edit expenses, budgets, and accounts in Ledgy from any MCP-compatible AI assistant.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Siddharth202002/finance-tracking-mcp-server'
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