Beyond Prompts: Supercharge Your Live Streaming Applications with MCP
Let's dive into the Model Context Protocol (MCP), an open standard that's revolutionizing how developers connect AI models to data sources and tools. MCP has been proclaimed to be a "USB-C for AI applications" and in this session we will explore whether it delivers on its promise to provide a universal interface that standardizes interacting with LLMs.
We'll see how MCP eliminates the complexity of building custom integrations for each AI provider, allowing you to focus on creating value rather than maintaining connectors. You will learn how to create an MCP server that enables your live streaming applications to securely access domain-specific knowledge, execute tools, and maintain context across interactions, all while preserving the flexibility to switch between LLM providers without rewriting your integration code.
You can follow along with the complete code samples and instructions here.
Adam Brown
Co-Founder & CTO
Mux
Adam Brown co-founded Mux in 2015 and leads technology and architecture for the developer-first video infrastructure platform. With deep roots in video technology, Adam has built high-performance encoding systems, low‑latency live streaming pipelines, and scalable cloud video infrastructure, including during his time at Zencoder and Brightcove, with additional experience in VR rendering at Otoy.
Known for merging engineering rigor with developer empathy, he’s focused on enabling seamless, scalable video delivery and real-time analytics through API-first products like Mux Video and Mux Data.