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This application demonstrates how Model Context Protocol (MCP) tools can manage dynamic user context within an LLM-based system. It provides a robust server for storing and updating individual travel preferences and general memories, accessible via both command-line and web chat interfaces. Beyond user interaction, it also offers analytics on tool usage, helping developers monitor performance and optimize costs in LLM interactions. The system is designed for easy integration, with containerized components ensuring persistent and scalable deployment.
