Thecimal/quantified-self-mcp

Overview

A local Model Context Protocol (MCP) server that lets an LLM such as Claude Desktop query personal health and finance data. Data lives in two local SQLite files and is read directly off disk by a Python process. No cloud database, dashboard, or third-party service is involved.

Best for

Best for
Developers who want a local, self-hosted MCP bridge between an LLM and their personal SQLite data.

Use cases

• Query health metrics from local SQLite via Claude Desktop
• Ask financial questions against a local finance database
• Run a self-hosted MCP server for personal data

Notes

A local Model Context Protocol (MCP) server that lets an LLM such as Claude Desktop query personal health and finance data. Data lives in two local SQLite files and is read directly off disk by a Python process. No cloud database, dashboard, or third-party service is involved.

2 stars on GitHub. Last updated 2026-09-02. Licensed MIT.

Use cases

• Query health metrics from local SQLite via Claude Desktop
• Ask financial questions against a local finance database
• Run a self-hosted MCP server for personal data

Pros

• Fully local, no cloud or third-party services
• Simple architecture: Python process reads SQLite directly
• Works with standard MCP clients like Claude Desktop

Cons

• Limited to two SQLite files, no built-in dashboard or UI
• Requires manual setup and maintenance of the Python server
• Very early-stage project (2 stars), so limited community support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.