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Temporal Context
Empowers AI assistants to adapt their responses and behavior intelligently based on the user's schedule and routines.
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This Model Context Protocol (MCP) server provides dynamic temporal context to AI agents, allowing them to intelligently adapt. Users define `TemporalContext` objects, each with a cron-based `TimePattern`, in a simple JSON file. The server continuously matches the current time to these patterns, activating the relevant context. This active context then derives a `Recommendation` object, guiding the AI agent on aspects like response style, formality, suggested tools, and topics to avoid, ensuring the AI's interactions are always relevant and appropriate for the user's current activity or time of day.
API Development
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Data Science & ML
