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the work.

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So over the last year, model context protocol or MCP has gone crazy. There are basically MCP interfaces for everything. Whether it's Slack, Canva, Brave, Outlook, you name it, there is an MCP interface for that. And the reason it's gone crazy is that we finally had a standardized way of calling tools. But a problem with MCP is basically MCP interfaces return text. So you connect with your host, i.e. chat GPT VS Code uh

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Claude um you call the tool, you get your result back, but it renders it in line as part of the conversation as text. What it didn't have until now is a standardized way of presenting UI interfaces. And that's where MCP apps comes in. It was launched about a month ago and it's the first official extension to model context protocol. And probably the bit that surprised everyone is it was co-authored by both Anthropic and OpenAI building upon the MCP UI

TITLE & DESCRIPTION

Every MCP tool returns the same thing — a wall of text or a JSON blob. It works, but it's not exactly impressive. MCP Apps change that. Same server, same tools, but now your responses render as interactive maps, dashboards, charts, timelines, and more — in Claude, ChatGPT, and your CLI. In this video I'll show you what MCP Apps actually are, how the ext-apps protocol works, and how to go from a plain Python MCP server to rich interactive UI without writing a single line of frontend code. I've built 66 standalone UI views as part of chuk-mcp-ui — all open source, all deployed and ready to use. You just point your server at them.

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MCP Client OAuth Is Simpler Than You Think

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Create a super fast MCP server, deploy and connect to openai agent builder in 15 MINS

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Qwen3 + MCP

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MCP makes Telnet RELEVANT for AI Agents

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Anthropic MCP with Ollama, No Claude? Watch This!

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Anthropic's Model Context Protocol (MCP) is a GAME CHANGER for AI

THE PRACTICE / AUTHOR DESCRIPTION

Chris Hay. A house for ideas, systems and objects. Building things to find out how they work. Ideas: Questions, research and the notebook. A place for thinking before the answer. Systems: Models, software, design languages and infrastructure. Giving an idea a structure that can be explored. Objects: What is made: software, interfaces, films and publications. An idea takes a form that can be used, watched or held. Chris Hay explores how intelligent systems are represented, executed, understood and experienced. Research, Engineering, Design, Film form one practice. LARQL: Querying and running learned systems. An investigation into what becomes possible when a model can be addressed. VINDEX3: Exploring how a model is represented, and how that representation relates to its execution. HAUSE: A language for how intelligent systems express themselves: claims, evidence, questions, comparisons and refusals. MCP-CLI / CHUK: Tools for connecting agents, models and the systems they use. Research: The questions, the evidence and the boundary of what has been shown. Notebook: The record before the answer. Thoughts, sketches and questions while they are still taking shape. Film: Another medium for thinking. Experiments, explanations and conversations in public. The record is the catalogue of the practice: stable identities, authorship, dates, source credits and citations. Publish the uncertainty as well as the result. IBM Mixture of Experts is an external production in which Chris is a regular panelist; IBM remains its producer.

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Distributed Session Management in Python with Redis & Chuk-Sessions

TITLE & DESCRIPTION

Chris Hay appears as a panelist in IBM’s Mixture of Experts episode “Quantum leap, Model Context Protocol, CoreWeave IPO and an AI voice companion”.