people-context is an open-source, local-first MCP server that enables AI agents to access contextual knowledge about the people in a user's life. It supports the Model Context Protocol (MCP) and is designed for privacy and local data control. Ideal for developers building AI agents that require personal context.
people-context sits in PulseGate's Frameworks & SDKs category. It focuses on providing AI agents with local, privacy-preserving contextual knowledge about people in a user's life. It is built as an open-source project for AI agent developers. people-context is open source under the MIT license. The product ships for the command line and API, and it can be self-hosted.
It is developed by Jinyang Wang, and the product first shipped in 2026. Development happens publicly on GitHub with 57 commits in the last 90 days. Key capabilities include local-first server, MCP protocol, and contextual knowledge. It exposes integrations via an MCP server and a public API.
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