Personal Finance Tracker
A lightweight MCP server for tracking personal expenses, income, and budget summaries using SQLite.
README
Personal Finance Tracker (MCP Server)
A lightweight MCP server for tracking personal expenses, income, and budget summaries using SQLite.
This server is designed for individuals or households ā not for businesses or stock analysis.
⨠Features
- š Record personal expenses and income
- š View monthly summaries and budget overviews
- š Analyze monthly spending trends
- āļø Configurable database path (
DB_PATH)
š¦ Installation
Install from PyPI:
pip install personal-finance-tracker
š Usage
You can run the server using:
uvx personal-finance-tracker
Or configure it in a client like Cursor or other MCP-compatible tools:
{
"mcpServers": {
"personal-finance-tracker": {
"command": "uvx",
"args": ["personal-finance-tracker"],
"env": {
"DB_PATH": "/absolute/path/to/your/finance.db"
}
}
}
}
š Environment Variables
| Variable | Description | Default |
|---|---|---|
DB_PATH |
Path to the SQLite database file | expenses.db |
The database file is created and initialized automatically if it doesn't exist.
š§ Prompt Behavior
This MCP server is specifically scoped for personal finance. The underlying LLM is guided to:
ā Use these tools when:
- The user asks about daily expenses, personal income, budgeting, household savings
š« Avoid using for:
- Business accounting
- Stock market analysis
- Corporate finance data
š Project Structure
personal-finance-tracker/
āāā src/
ā āāā personal_finance_tracker/
ā āāā main.py
āāā pyproject.toml
āāā README.md
š License
ABRMS License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.