people-context-mcp is an open-source, local-first MCP (Model Context Protocol) server that allows AI agents to access and utilize contextual knowledge about the people in your life. Designed for privacy and extensibility, it enables developers to build AI agents that can reason about personal context without relying on cloud services. Ideal for developers building privacy-focused, context-aware AI applications.
people-context-mcp is an Autonomous agents & workflows project. It focuses on enabling AI agents to access and use contextual knowledge about people in a privacy-preserving, local-first way. It is built as an open-source project for AI agent developers. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.
It is developed by Jinyang Wang, and it first shipped in 2026. Development happens publicly on GitHub with 39 commits in the last 90 days. Among its 8 catalogued features are local-first server, MCP protocol support, and personal context storage. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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