Chronos Protocol

Provides time intelligence, persistent memory, and activity logging with timezone management, elapsed time calculation, and configurable reminders for AI coding workflows requiring session continuity and audit trails.

This Chronos Protocol MCP server by Lloyd Barcatan provides time intelligence, persistent memory, and complete traceability for AI coding agents through comprehensive activity logging and timezone management capabilities. Built with Python using Pydantic models and supporting both centralized and per-project storage modes, it offers nine core tools including current time queries with system timezone defaults, cross-timezone conversion, activity tracking with start/end/update operations, elapsed time calculation, and time-based reminders with configurable ID formats (ShortUUID, UUID, custom). The implementation features robust storage configuration with automatic project root detection, write permission validation, configurable operation timeouts, and detailed diagnostic logging, making it ideal for AI development workflows that require precise time tracking, session continuity across coding tasks, and audit trails for debugging and performance analysis.