Apr 3
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In this AI Tech Experts Webinar, Michał Pstrąg, ML Engineer, introduces MCP Apps — a new standard that enables embedding fully interactive UIs directly inside AI chat interfaces. Instead of redirecting users to external dashboards or SaaS platforms, MCP Apps allow teams to ship usable functionality where users already are — inside the conversation. This shift changes how products are discovered, how conversions happen, and how AI-native experiences are designed. The session covers: 🔎 how MCP Apps extend the Model Context Protocol 🔎 the architectural flow: server, host, view and tool invocation 🔎 agent-driven UX vs traditional search-based discovery 🔎 practical development guidelines and SDK usage 🔎 evaluation patterns using Promptfoo to avoid brittle behavior 🔎 when MCP Apps make sense — and when a classic web app is still better If you're building AI agents, LLM applications, or conversational interfaces in production, this session gives both architectural clarity and practical implementation advice. If you have questions for Michal, feel free to ask them in the comments and continue the discussion there 💬 00:27 What MCP Apps are and why they matter 02:08 From MCP to industry standard adoption 03:28 Agent-driven user conversion model 05:57 Practical use cases of MCP Apps 07:28 MCP architecture and invocation flow 11:24 Evals, development tips 13:07 Final recommendations Check our website: https://deepsense.ai/ Linkedin: https://www.linkedin.com/showcase/applied-ai-insider #AIAgents #ModelContextProtocol #ConversationalAI #AgenticAI #LLMApplications #ProductionA