This demonstration paper presents, a framework that showcases the integration of Google’s Agent-to-Agent (A2A) Protocol and Model Context Protocol (MCP) within multi-agent AI systems. Using IT incident response as our demonstration example, we show how these protocols enable effective communication, context sharing, and problem-solving among AI agents with diverse capabilities. Our demonstration illustrates how Agent-to-Agent Protocol handles structured message passing and task delegation, while Model Context Protocol ensures consistent contextual understanding. Through simulated IT incidents of varying complexity, we demonstrate how this integrated approach improves response efficiency, reduces resolution time, and enhances automated remediation quality. This work provides insights into protocol interoperability challenges and presents a reference implementation adaptable for other multi-agent collaborative scenarios beyond IT operations.