Alex Shershebnev is a seasoned Computer Vision and MLOps Engineer with over nine 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.
Model Context Protocol (MCP) is a recent innovation that's quickly gaining traction across the developer ecosystem - and for good reason. It offers a powerful way to extend LLM capabilities by enabling seamless access to external tools, APIs, and data sources directly from within the context of your IDE.
In this talk, we’ll unpack what MCP is, the problems it solves, and why it’s a key enabler for building more intelligent, context-aware workflows. We’ll walk through how to integrate existing MCP servers and how to easily build your own to unlock custom capabilities. You’ll also see real-world examples of chaining multiple MCPs together and connecting them to external systems like Grafana, databases, and internal APIs to supercharge productivity - no window switching required.
Whether you’re a Developer, DevOps, or ML Engineer, MCP opens the door to faster iteration, smarter automation, and context-rich coding experiences. If you care about productivity and developer experience in the age of LLMs, you should care about MCP.
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