The development and adoption of agentic AI, a type of artificial intelligence that enables autonomous decision-making, are moving forward with the emergence of new protocols. The Model Context Protocol (MCP), Agent Communication Protocol (ACP), and Agent to Agent Protocol (A2A) are designed to facilitate collaboration between AI agents, simplify context building, and enable seamless interaction across different frameworks and vendors. These protocols have the potential to transform how businesses derive intelligence and pass on benefits to customers, but they also come with challenges such as security concerns and scalability issues that need to be addressed early in system design. As these protocols continue to evolve, they will complement each other, enabling developers to build modular AI systems that work across platforms and enterprises, and empowering software vendors to create innovative solutions to meet the growing demand for agentic AI.