The text discusses the concept of Agentic applications, which are intelligent, interactive user experiences powered by Large Language Models (LLMs). These applications aim to provide a seamless and natural experience for users by leveraging AI capabilities. The article focuses on building an Agentic application using ClickHouse MCP Server and CopilotKit. ClickHouse is used as a real-time analytics database that supports complex analytical tasks and high-frequency interactive querying, ensuring stable performance during chat-based interactions. The application allows users to build their custom dashboards for the UK real estate market by generating charts based on user-provided data. The use of fine-grained permissions and quotas in ClickHouse provides control over what the LLM can do on behalf of the user. The article concludes that leveraging the capabilities of LLMs, such as ClickHouse MCP Server and CopilotKit, opens up new possibilities for creating AI-powered tools that provide deeper insights and better user experiences.