# Quantified Self MCP

Quantified Self MCP is a privacy-first Model Context Protocol server.

## Purpose

It allows AI assistants and MCP-compatible clients to query personal health and finance data stored locally.

## Technology

- Python
- FastMCP
- SQLite
- Model Context Protocol

## Features

- Local health data analysis
- Personal finance analysis
- Privacy-first architecture
- Local SQLite storage
- MCP-compatible AI integration

## Installation

pip install quantified-self-mcp

## Repository

https://github.com/Thecimal/quantified-self-mcp

## Keywords

MCP, Model Context Protocol, FastMCP, AI agents, personal data, quantified self, health data, personal finance, privacy-first, local-first.
