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.
In the Autonomous agents & workflows space, people-context-mcp takes a focused approach. It focuses on enabling AI agents to access and use contextual knowledge about people in a privacy-preserving, local-first way. people-context-mcp is an open-source project aimed at AI agent developers. The project is open source (MIT). It runs on the command line and API, and it can be self-hosted.
It is developed by Jinyang Wang, and the product first shipped in 2026. The project is developed in the open 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.
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