Scaling AI Agents with Model Context Protocol (MCP) [Webinar]

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April 21, 2026, 12:00 pm - 1:00 pm ET 

For the past year, organizations have struggled with "AI silos" and isolated chatbots that can’t talk to internal data or work across different platforms. 

The Model Context Protocol (MCP) has emerged as the industry’s answer. By creating a universal "plug-and-play" standard, MCP allows any AI model to securely access your company's unique tools and knowledge without the need for constant, expensive custom coding. Join us for an expert led guided tour of how MCP can work for you (and a live demo!).

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In this 1-hour session, Manu Mulaveesala, AI expert and technical instructor, demonstrates how MCP is transforming AI from a simple interface into a powerful, integrated workforce. 

Join us as we explore:

  • The End of the Integration Nightmare: Why a standardized protocol is replacing the "custom-built" approach to AI connectors.
  • The New AI Ecosystem: A broad look at how industry giants like Google, OpenAI, and Anthropic are using MCP to create a world of interchangeable AI tools.
  • The "Plug-and-Play" Enterprise: How to build a centralized library of data and tools that any AI agent in your organization can use instantly.
  • Strategic Security & Control: How MCP provides a universal "kill switch" and permission layer to keep your proprietary data safe.
  • The Road Ahead: What the shift to open-source governance (via the Linux Foundation) means for your long-term AI investments. 

At the conclusion, Manu will demonstrate how a single MCP integration can empower multiple different AI models simultaneously, followed by a live Q&A.

Target Audience: Business Leaders, IT Directors, Digital Transformation Officers, and Product Managers looking to build a future-proof AI roadmap.

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About the presenter:

Manu Mulaveesala is a veteran technical instructor with more than a decade of consulting, development, and teaching experience in Artificial Intelligence, Data Science, and Machine Learning. During this time, he has taught more than 5,000 students spanning more than 100 organizations, 20 countries, and varying technical backgrounds. Manu provides a dynamic and adaptive learning environment and enjoys tailoring trainings to clients' real-world projects and goals.