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Learn about the Model Context Protocol (MCP) and its role in advancing agentic AI systems in this 52-minute webinar. Explore MCP's evolution from early large language model limitations through the Retrieval-Augmented Generation (RAG) era to today's agentic AI boom. Discover how MCP addresses critical challenges including brittle integrations and error handling that have historically hindered AI agent development. Follow along with a practical demonstration showing how to implement MCP locally, and gain insights into the key considerations for deploying MCP-based solutions in remote environments. Understand how this protocol is transforming the landscape of AI agents and enabling more robust, scalable agentic AI applications.
