MCP For Enterprise - How To Harness, Secure, and Scale

Model Context Protocol (MCP) servers are the critical enabler enterprises need to unlock the full potential of AI agents. Yet many organizations struggle to move this rapidly evolving technology beyond the experimental stage and into secure, scalable, enterprise-wide deployment. In this webinar, MCP Manager (https://mcpmanager.ai/) CEO, Mike Yaroshefsky, will give you the essential building blocks for successful adoption and share a practical roadmap for implementing MCP servers within your organization, securely, at scale, and with lasting impact. Your Host Mike Yaroshefsky is the founder and CEO of MCP Manager and a prominent contributor to the MCP spec. Mike has been at the forefront of software integration technology for over a decade, and he is now using that unique experience to help enterprises overcome the complex security and deployment challenges of connecting AI to their SaaS platforms, data, and other resources via MCP servers. Chapters: 0:00 Introduction 1:12 Why companies are failing with AI 4:06 How MCP unlocks enterprise AI 4:17 MCP Explained 08:02 Example of MCP automation 10:40 Block’s MCP case study 11:20 MCP is not batteries included 12:05 Hierarchy of AI needs 13:04 Protocol vs Product 15:15 Deploying MCP isn’t easy (yet) 17:54 The 3 kinds of MCP deployment 19:44 MCP needs help to work for enterprises 25:02 Biggest deployment concerns 28:30 Enabling AI transformation 29:47 MCP Manager makes AI work 30:20 MCP is community driven 31:28 Q&A 34:05 Get in touch