2025-11-23 –, Breakout Room
Model Context Protocol (MCP) is a powerful new way to extend LLMs with real-time access to tools, APIs, and infrastructure. It enables seamless workflows like querying Grafana dashboards, triggering CI/CD jobs, or fixing issues from Sentry all without leaving your IDE. In this talk, we’ll explore how MCP works, how to build your own MCP servers, and how to compose them to automate Ops tasks and boost productivity across your stack.
But as we wire LLMs into our systems, security becomes a critical concern. Unrestricted use of MCP can open the door to various vectors of attack. We’ll cover the main areas of concern as companies start adopting MCP tools and discuss how to use them safely in production environments.
Advanced
Alex Shershebnev is a seasoned Computer Vision and MLOps Engineer with over ten years of experience shaping the future of AI-driven software development. Currently, Alex leads the ML/DevOps team at Zencoder, where he leverages his extensive background in Software Engineering, ML and DevOps to deliver high-quality machine learning solutions. His work spans complex data pipelines, cloud infrastructure management (GCP, Kubernetes), and advanced ML/DevOps pipelines, ensuring scalability and efficiency.