The Model Context Protocol (MCP) is the open standard revolutionizing how Large Language Models (LLMs) connect with external tools and data.

This session will take you on a journey from the core theory to a secure, scalable deployment. We'll start with the MCP fundamentals—exploring its client-server architecture, the role of tools, resources, and prompts, and the JSON-RPC-based communication details.

Next, we'll dive into the security challenges inherent in this powerful design, covering critical risks like Prompt Injection, Tool Poisoning, and credential management, and discussing mitigation best practices.

Finally, we'll demonstrate how to go from development to a robust, production-ready server by leveraging Cloud Run. Learn how the serverless execution model simplifies deployment, offers built-in security controls, and provides auto-scaling for your next-generation AI agents.

GDG Devfest Nashik 2025