Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Deciding between A2UI and MCP Apps for your agentic interfaces? You don't have to choose 💫 This guide breaks down 3 architectural patterns for combining the best of declarative and custom UIs, including how A2UI and MCP Apps can seamlessly interact with each other.

Flutter

277,604 subscribers

19,457 views • 5 days ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

OpenAI just dropped the Apps SDK, built on MCP. This is the future of how users will interact with your apps. You won’t need to build a chatbot anymore. OpenAI is the chatbot. You just expose your tools through MCP. Exciting progress toward Jarvis!

OpenAI just dropped the Apps SDK, built on MCP. This is the future of how users will interact with your apps. You won’t need to build a chatbot anymore. OpenAI is the chatbot. You just expose your tools through MCP. Exciting progress toward Jarvis!

Kent C. Dodds 🏹

152,179 views • 9 months ago

MCP servers were stuck on text and data. Not anymore. 👀 Proposed by Anthropic, OpenAI, and the MCP-UI community, the new MCP Apps Extension standardizes interactive interfaces with security built in. Here's what you need to know. ▶️

MCP servers were stuck on text and data. Not anymore. 👀 Proposed by Anthropic, OpenAI, and the MCP-UI community, the new MCP Apps Extension standardizes interactive interfaces with security built in. Here's what you need to know. ▶️

GitHub

60,969 views • 6 months ago

Introducing SperaxOS Plugin Store Browse & install plugins right from the chat. Choose from many of your favorite apps, plugins, and tools or bring your own custom MCP Servers. Watch how anyone can import any MCP Server into SperaxOS chat in under 1 minute.

Introducing SperaxOS Plugin Store Browse & install plugins right from the chat. Choose from many of your favorite apps, plugins, and tools or bring your own custom MCP Servers. Watch how anyone can import any MCP Server into SperaxOS chat in under 1 minute.

Sperax | SperaxOS

22,924 views • 4 months ago

🤓 Playing around MCP Apps / MCP UIs and OpenAI MCP Widgets 🤩🔥 I'm writing a blog post and will be published soon with an example repo /cc David Soria Parra

🤓 Playing around MCP Apps / MCP UIs and OpenAI MCP Widgets 🤩🔥 I'm writing a blog post and will be published soon with an example repo /cc David Soria Parra

fatih kadir akın

46,642 views • 7 months ago

Using Cursor and Supabase allows us to build apps in record time! In this video guide, I will explain how to use Cursor agent, MCP, Supabase CLI, and other techniques to build apps more efficiently! Watch the full video guide here 👇

Using Cursor and Supabase allows us to build apps in record time! In this video guide, I will explain how to use Cursor agent, MCP, Supabase CLI, and other techniques to build apps more efficiently! Watch the full video guide here 👇

Tyler Shukert

89,371 views • 1 year ago

I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all *your* apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!

I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all your apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!

elvis

62,262 views • 10 months ago

Anthropic released interactive apps for Claude. Interactive apps can respond with interactive UI Widgets to enable additional usecases. "MCP Apps is a new extension to MCP that lets any MCP server deliver an interactive interface within any supporting AI product"

Anthropic released interactive apps for Claude. Interactive apps can respond with interactive UI Widgets to enable additional usecases. "MCP Apps is a new extension to MCP that lets any MCP server deliver an interactive interface within any supporting AI product"

🚨 AI News | TestingCatalog

52,554 views • 5 months ago

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 views • 1 year ago

Comment “MCP” and I’ll DM you the servers I use every day Browser MCP tests apps for you, Magic MCP builds UI in seconds, and GitMCP links your AI to any repo. These are only 3 of the seven MCPs I use. Once you try them, you’ll never want to build with AI without them.

Comment “MCP” and I’ll DM you the servers I use every day Browser MCP tests apps for you, Magic MCP builds UI in seconds, and GitMCP links your AI to any repo. These are only 3 of the seven MCPs I use. Once you try them, you’ll never want to build with AI without them.

Prajwal Tomar

19,085 views • 9 months ago

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Don't know what is MCP and want to get a very quick intro lesson without the hype? I've got you covered MCP clients (like Claude, Cursor) are like the Android Phones and MCP Servers are like Android Apps. You can install them on your client and give it new capabilities!

Shobhit Bakliwal

14,128 views • 1 year ago

You can now run apps within powered by MCP Apps. Analyze data, edit tickets, draft messages, generate diagrams and more with Claude's interactive connectors. Grateful to our team, the open source community, and our partners for this launch 🚀

You can now run apps within powered by MCP Apps. Analyze data, edit tickets, draft messages, generate diagrams and more with Claude's interactive connectors. Grateful to our team, the open source community, and our partners for this launch 🚀

Sean Strong

132,465 views • 5 months ago

Introducing the Developer’s Guide to AI Agent Protocols. Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI The future of agents is interoperable. Read the full technical guide here:

Introducing the Developer’s Guide to AI Agent Protocols. Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI The future of agents is interoperable. Read the full technical guide here:

Google for Developers

116,504 views • 3 months ago

Base MCP scales what agents can achieve onchain Your agent can prepare transfers, swaps, lending, and borrowing across top apps on Base With every transaction approved by you Bringing the ecosystem into the agentic economy

Base MCP scales what agents can achieve onchain Your agent can prepare transfers, swaps, lending, and borrowing across top apps on Base With every transaction approved by you Bringing the ecosystem into the agentic economy

Base

70,618 views • 18 days ago

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

DeepLearning.AI

23,829 views • 1 year ago

Excalidraw in Claude. MCP Apps made by one of the main engineers behind MCP Apps:

Excalidraw in Claude. MCP Apps made by one of the main engineers behind MCP Apps:

David Soria Parra

465,271 views • 4 months ago

The apps on your phone can see each other. Do you really want your bank to know which crypto apps you have installed? Or some government app to know which political apps you have? Here's how to silo apps across profiles, so that these apps can't see or talk to each other.

The apps on your phone can see each other. Do you really want your bank to know which crypto apps you have installed? Or some government app to know which political apps you have? Here's how to silo apps across profiles, so that these apps can't see or talk to each other.

Naomi Brockwell priv/acc

61,912 views • 6 months ago

most people don’t know the difference between MCP and agentic skills. this 20mins course teaches you everything you need to know. it’s free on YT. bookmark. watch. at the end of the video course, you’d have learnt what the differences and similarities between agents skill and MCP. and the best part when to use which. this is just the first 12mins, check the cs for link to the full video.

most people don’t know the difference between MCP and agentic skills. this 20mins course teaches you everything you need to know. it’s free on YT. bookmark. watch. at the end of the video course, you’d have learnt what the differences and similarities between agents skill and MCP. and the best part when to use which. this is just the first 12mins, check the cs for link to the full video.

m0h

69,457 views • 2 months ago

Meet Tempo's MCP App Store 👋 Seamlessly integrate your web and mobile apps with Stripe, OpenAI, , Exa, Google Gemini & 40+ more integrations Built on MCP using Supabase — let AI handle the complexity You focus on product Here's how it works 👇 1/5 🧵

Meet Tempo's MCP App Store 👋 Seamlessly integrate your web and mobile apps with Stripe, OpenAI, , Exa, Google Gemini & 40+ more integrations Built on MCP using Supabase — let AI handle the complexity You focus on product Here's how it works 👇 1/5 🧵

Tempo (YC S23)

78,576 views • 1 year ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,307 views • 8 months ago