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Privacy-first health record server uses Claude and Gemini Vision locally

By PulseAugur Editorial · [1 sources] ·

A developer has created a privacy-focused health record server called MedMemory that runs entirely on the user's local machine. This system utilizes Anthropic's Model Context Protocol (MCP) and Gemini Vision to allow Claude to answer questions about personal health data without sending sensitive information to the cloud. The architecture includes AES-256 encrypted SQLite storage via SQLCipher for data security, and Gemini Vision for extracting structured information from various medical document formats, including handwriting. AI

IMPACT Enables local, private querying of personal health data using LLMs, potentially increasing user trust and adoption of AI in healthcare.

RANK_REASON The item describes a personal project building a privacy-focused health record server using existing AI models and protocols, rather than a new model release or significant industry event.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Privacy-first health record server uses Claude and Gemini Vision locally

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Priyanshu Goel ·

    I Built a Privacy-First Health Record MCP Server That Runs Entirely on Your Machine

    <p><em>How I used the Model Context Protocol, Gemini Vision, and AES-256 encryption to let Claude answer questions about your personal health data — without sending that data anywhere.</em></p> <h2> The Problem With Health AI </h2> <p>Every major health AI product has the same ar…

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