Local MCP server for personal health data
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# Quantified Self MCP > **Your health data. Your AI. Your machine.** [](https://github.com/Thecimal/quantified-self-mcp/actions) [](https://pypi.org/project/quantified-self-mcp/) [](https://pypi.org/project/quantified-self-mcp/) [](LICENSE) [](https://glama.ai/mcp/servers/Thecimal/quantified-self-mcp) **Quantified Self MCP** is a privacy-first **Model Context Protocol (MCP) server** that gives AI agents controlled access to your personal **health data** stored locally. Built with **Python, FastMCP, and SQLite**, it works with both **local LLMs and cloud-based LLMs**. You choose where your AI runs. **[Try it on Glama →](https://glama.ai/mcp/servers/Thecimal/quantified-self-mcp)** --- ## What Is It? Quantified Self MCP connects an AI agent to your personal health data through the **Model Context Protocol (MCP)**. ```text ┌─────────────────────┐ │ AI Agent │ │ │ │ Local LLM / Cloud │ └──────────▲──────────┘ │ MCP tool result │ MCP tool call │ ┌──────────┴──────────┐ │ Quantified Self MCP │ │ FastMCP │ │ LOCAL │ └──────────▲──────────┘ │ SQL / data │ ┌──────────┴──────────┐ │ Local SQLite │ │ Health Data │ …
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