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Quantified Self MCP Server
Local FastMCP server that lets assistants query personal health and finance data stored in local SQLite databases. It includes tools for health metrics such as steps, sleep and resting heart rate, plus categorized expense ledgers with summaries, while keeping generated data folders and database files out of version control. Public GitHub repository created August 25, 2026.
MCP unverified
Integration
| Transport | stdio |
| Auth | none |
| Endpoint | https://github.com/Thecimal/quantified-self-mcp |
| Install | git clone https://github.com/Thecimal/quantified-self-mcp.git && cd quantified-self-mcp && python3 -m venv .venv && . .venv/bin/activate && pip install -r requirements.txt |
Use Cases
| 01 | Ask an assistant to summarize recent sleep, steps and resting-heart-rate trends from local data |
| 02 | Query categorized spending and totals from a personal SQLite finance ledger |
| 03 | Keep sensitive self-tracking data local while still exposing bounded read tools to an MCP client |
Tags
quantified-self health finance sqlite local-first fastmcp python personal-data
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>