Model Context Protocol (MCP): The future of user interactions?
summary
Explains how the Model Context Protocol standardizes LLM access to services by registering tools with input/output schemas, shows a live webshop demo where an assistant searches products, updates cart and returns order refs via an MCP server, demonstrates MCP apps UI in iframe that lets assistants render interactive widgets and call back to server tools, and previews navigator.modelContext DOM API (WebMCP) for browser agents; covers discovery, OAuth, local dev and current fragility, not yet production-ready.
AI-written summary · about
chapters (14)
- 0:00Model Context Protocol intro
- 3:04What is MCP
- 7:17Building AI into apps
- 9:48AI into the app
- 16:29MCP apps and UI integration
- 22:04MCP tool registration deep dive
- 28:07Testing and deploying MCP servers
- 31:57Discovery and distribution challenges
- 33:21New UI for AI interactions
- 34:47MCP production readiness
- 35:31Web MCP and differences
- 38:05Web MCP demo and DOM API
- 42:16AI control mechanisms summary
- 43:58Q&A
related talks
33mThe Model Context Protocol: Connecting AI to Everything
25mFrom Idea to Integration: An Intro to the Model Context Protocol (MCP)
20mLetting AI Interface with your App with MCP
46mMCP for LLM Agents, Infrastructure APIs & Data Services
26mBuilding AI-Enabled Spring Applications with Model Context Protocol (MCP)
44mBeyond the Prompt: How MCP Connects Language Models to Real Tools
32mMCP for dummies: Feed more context to LLM
35mMCP in Action: Real-World Use Cases & Design Patterns
