Cora is an innovative application that leverages InfluxDB and large language models (LLMs) to enable users to generate actionable health insights without needing technical expertise. By integrating with various health applications like Fitbit and Apple Health, Cora allows users to improve their health outcomes through natural language interactions. The platform addresses limitations of AI models, such as context window constraints and the inability to perform statistical analysis independently, by utilizing InfluxDB for real-time data querying and aggregation. Cora's architecture involves a gRPC server coordinating between an MCP server, InfluxDB, and Firestore, enabling fast responses to user queries. This setup exemplifies evolving best practices in AI, such as using tool calling and the MCP standard for external data interaction, highlighting the rapid advancements in AI technology and its application in personal health management.