Abstract: With the rapid popularization and promotion of smart homes and smart cars, most users have felt the convenient experience brought by smart life and travel, and they often encounter the problem that smart homes and smart car cockpits cannot be interconnected, resulting in poor user experience. Aiming at the current problems of data islands, interaction fragmentation, and weak task collaboration “between smart home and smart cockpit systems, proposes a cross-domain agent interaction technology based on MCP protocol and large model. This technology takes the automotive smart cockpit (vehicle agent) and the smart home smart home brain screen (home agent) as the core interaction nodes, relies on the MCP protocol to realize cross-system device control and state synchronization, and combines the context understanding, task splitting and continuation capabilities of the large model to build a cross-domain interaction system of scene linkage-task collaboration-service customization”. Judging from the laboratory data, the cross-domain instruction response delay of this technology is≤500 ms, the task continuation success rate reaches 94.3%, and the user scenario demand satisfaction rate has increased to 96.5%, which is 3.8 times higher than the interaction between the traditional smart home and the smart cockpit two independent systems, significantly breaking the interaction barriers between smart homes and smart cockpits, and realizing the ultimate experience of users’ smart life+smart travel intelligent interaction and non-inductive collaboration.

Key words: Smart home, Smart cockpit, Agent, MCP protocol, Large model