Agentic Frameworks for Intelligent Interfaces: Applications and Implementations in the Indian Demographic Context

Building upon previous research on Large Language Models (LLMs) for intelligent interfaces, this paper examines the emergence and applications of agentic frameworks in the Indian context. With the rapid advancement of AI technology, autonomous agents are transforming how organizations and individuals interact with digital systems. This study explores two significant frameworks—Claude's Model Context Protocol (MCP) and n8n workflow automation platform—analysing their implementation, benefits, and challenges within Indian academic, office, and HR environments. The study proposes implementation strategies tailored to the unique needs of Indian organizations and presents expected outcomes based on existing research and case studies.