Sustainable Energy Management via Integrating Model Context Protocol with Home Assistant

Résumé fourni par la source

The rapid proliferation of IoT devices in smart environments necessitates scalable, user-friendly management systems. However, current platforms often lack integration between conversational agents and realtime Digital Twin (DT) supervision. This paper proposes a novel architecture that integrates the Model Context Protocol (MCP) with Home Assistant (HA) to manage a 3D DT dashboard for a smart campus for better energy consumption using a natural language interface powered by Cursor. The system employs an intermediary component, “mcp-proxy”, which bridges the MCP client (Cursor) and the HA MCP server, allowing bidirectional communication over standard input/output and SSE protocols. Through natural language queries, users can monitor and control IoT devices represented within a 3D DT model. The deployment includes smart equipment in the lab, kitchen and mailroom, demonstrating the complete data flow from user interaction to structured response. A case study on energy consumption monitoring illustrates how the proposed system can be used in practical applications. Experimental evaluations with various LLMs confirm the feasibility, responsiveness, and contextual accuracy of the proposed solution. This work highlights the potential of agentic LLMs and open protocols in enabling intuitive and intelligent management of smart sustainable environments.

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