BeeMCP acts as an unofficial Model Context Protocol server that bridges Bee wearable lifeloggers with AI models. It allows large language models like Claude or custom AI agents to securely access and manage personal data from Bee devices, such as conversations, facts, to-do lists, and location history. This enables personalized AI interactions, like retrieving recent conversations or adding reminders, by fetching data through an API using a secure API key. It supports integration via command-line or API configurations in AI platforms, providing a seamless way to utilize lifelogging data for enhanced AI functionalities.