Agentic AI is the next evolution of LLMs, enabling models not just to respond but to plan, take actions, use tools, and learn from interactions. Multi-Agent Systems extend this by allowing multiple specialised agents—planners, researchers, coders, reviewers—to collaborate and solve complex tasks with higher accuracy and scalability. Model Context Protocol (MCP) provides the open standard that connects these agents to tools, APIs, and data securely and consistently across platforms. Together, Agentic AI, Multi-Agent collaboration, and MCP enable powerful, autonomous, and production-ready AI workflows for research, coding, automation, and enterprise applications