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by mikhashev • Security & Privacy
An open-source MCP server that lets AI assistants access, persist, and update a user's personal context to enable more personalized and consistent conversations.
Access and use a user's persistent personal context (name, preferences, learning style, goals) to personalize responses.
Update specific user context fields and maintain versioned history so the assistant's memory stays current.
Section-based privacy controls so only selected parts of a user's personal context are exposed during a session.
This repository implements a Model Context Protocol (MCP) server for Personal Context Technology (PCT), allowing assistants like Claude to read and update structured personal data (preferences, basic info, instructions, metadata). It provides section-based access, tools for updating fields, version tracking, and privacy controls so users decide what to share. The server can run over stdio (recommended for local development) and can be adapted to HTTP transport for production, and integrates with Claude Desktop for easy use.
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