How Model Context Protocol (MCP) Can Help Enterprises Scale and Manage AI Tools

Add to Calendar Apr 17, 2025 Apr 17, 2025 America/Los_Angeles How Model Context Protocol (MCP) Can Help Enterprises Scale and Manage AI Tools MCP redefines how enterprises can operationalize AI by addressing critical gaps in traditional tool integration. In this workshop, we’ll explore how to implement agents that take advantage of MCP’s capabilities. One key benefit is dynamic tool discovery—unlike static frameworks that require manual tool wiring, MCP enables agents to discover and utilize new tools at runtime, allowing organizations to quickly change how the tools are implemented without rearchitecting their systems. Centralized governance further streamlines operations by managing updates, permissions, and compliance policies from a single MCP server, ensuring consistency across all agents and eliminating version-lock issues. Finally, MCP offers elastic scalability, enabling tools to scale independently of the agent architecture so enterprises can grow their systems without disrupting existing infrastructure. Beyond implementation, we’ll also dive into the core concepts behind MCP and discuss why it’s gaining momentum across the AI landscape. Workshop 3 | Gateway Pavilion - Pier 2 | 2 Marina Blvd, San Francisco, CA 94123

About this session

MCP redefines how enterprises can operationalize AI by addressing critical gaps in traditional tool integration. In this workshop, we’ll explore how to implement agents that take advantage of MCP’s capabilities. One key benefit is dynamic tool discovery—unlike static frameworks that require manual tool wiring, MCP enables agents to discover and utilize new tools at runtime, allowing organizations to quickly change how the tools are implemented without rearchitecting their systems. Centralized governance further streamlines operations by managing updates, permissions, and compliance policies from a single MCP server, ensuring consistency across all agents and eliminating version-lock issues. Finally, MCP offers elastic scalability, enabling tools to scale independently of the agent architecture so enterprises can grow their systems without disrupting existing infrastructure. Beyond implementation, we’ll also dive into the core concepts behind MCP and discuss why it’s gaining momentum across the AI landscape.

Session Speaker

Hari Patchigolla

Data Scientist

Autodesk

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