Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

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's profile picture

GitHub

2,672,881 subscribers

60,969 görüntüleme • 7 ay önce •via X (Twitter)

Bilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Finally, MCP servers can now deliver UI-rich experiences! MCP servers in Claude/Cursor don't offer UI any experience yet, like charts. It's just text/JSON. mcp-ui lets you add interactive web components to its output that can be rendered by the MCP client. 100% open-source!
0:41

Finally, MCP servers can now deliver UI-rich experiences! MCP servers in Claude/Cursor don't offer UI any experience yet, like charts. It's just text/JSON. mcp-ui lets you add interactive web components to its output that can be rendered by the MCP client. 100% open-source!

Avi Chawla

123,784 görüntüleme • 11 ay önce

MCP tools have only ever returned text for the model to read. Now they return interactive UI. 🪄 TanStack AI's new MCP Apps support renders ui:// widgets right in the chat - static or fully interactive, with a client/server bridge.
0:45

MCP tools have only ever returned text for the model to read. Now they return interactive UI. 🪄 TanStack AI's new MCP Apps support renders ui:// widgets right in the chat - static or fully interactive, with a client/server bridge.

TANSTACK

132,648 görüntüleme • 1 ay önce

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!
9:03

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 görüntüleme • 10 ay önce

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!
2:43

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

142,130 görüntüleme • 1 yıl önce

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!
2:11

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 görüntüleme • 1 yıl önce

Introducing MCP UI, the SDK that wires UI components directly into the MCP protocol🤯 Watch the video to see the new phase in AI interaction! Why browse when you can have universal apps that deliver the right UI to consume any data and perform any action? Replace cumbersome walls of text with slick interactive components, bringing rich web experiences to MCP-enabled agents such as Claude and Cursor. Let’s build Jarvis so Kent C. Dodds 🏹 doesn’t have to! 🧵>>
0:41

Introducing MCP UI, the SDK that wires UI components directly into the MCP protocol🤯 Watch the video to see the new phase in AI interaction! Why browse when you can have universal apps that deliver the right UI to consume any data and perform any action? Replace cumbersome walls of text with slick interactive components, bringing rich web experiences to MCP-enabled agents such as Claude and Cursor. Let’s build Jarvis so Kent C. Dodds 🏹 doesn’t have to! 🧵>>

Ido Salomon

79,457 görüntüleme • 1 yıl önce

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.
0:48

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

19,101 görüntüleme • 11 ay önce

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:
1:09

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 görüntüleme • 1 yıl önce

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 🚀
0:31

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

132,528 görüntüleme • 6 ay önce

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 🧵
0:47

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)

78,601 görüntüleme • 1 yıl önce

Agents & MCP are great... but how can you DEPLOY an agent with MCP tools? Here's the fastest way I've found to build and deploy with the OpenAI Agents SDK in <3 minutes.
3:46

Agents & MCP are great... but how can you DEPLOY an agent with MCP tools? Here's the fastest way I've found to build and deploy with the OpenAI Agents SDK in <3 minutes.

matt palmer

64,690 görüntüleme • 1 yıl önce

The only MCP server you'll ever need! I just built an MCP server that connects to 200+ data sources and runs locally on my machine. 100% open source.
9:27

The only MCP server you'll ever need! I just built an MCP server that connects to 200+ data sources and runs locally on my machine. 100% open source.

Akshay 🚀

63,847 görüntüleme • 1 yıl önce

We've added support for the Enterprise-Managed Auth extension to MCP. Admins can centrally authorize MCP connectors for their organization, so all the tools and data users need are connected on their first login.
0:34

We've added support for the Enterprise-Managed Auth extension to MCP. Admins can centrally authorize MCP connectors for their organization, so all the tools and data users need are connected on their first login.

ClaudeDevs

939,730 görüntüleme • 1 ay önce

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.
0:24

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

20,247 görüntüleme • 1 ay önce

WE WON THE ANTHROPIC MCP HACKATHON! (in the nyc enterprise category) We knew Fortune 500s want MCP but need an Enterprise AI™ solution. So we built a Claude MCP client in Slack was SOC II Type 7, ISO 32456 and Microsoft Certified® Finally MCP is ready for the big leagues!
0:36

WE WON THE ANTHROPIC MCP HACKATHON! (in the nyc enterprise category) We knew Fortune 500s want MCP but need an Enterprise AI™ solution. So we built a Claude MCP client in Slack was SOC II Type 7, ISO 32456 and Microsoft Certified® Finally MCP is ready for the big leagues!

Alec Velikanov

83,206 görüntüleme • 1 yıl önce

Cline v3.4 is out 🚀 Introducing MCP Marketplace! Discover and install the best MCP servers right in the extension, where Cline handles all the setup. We’ve also added mermaid diagrams to Plan mode, new @​terminal and @​git mentions in chat, and visual improvements to checkpoints!
2:05

Cline v3.4 is out 🚀 Introducing MCP Marketplace! Discover and install the best MCP servers right in the extension, where Cline handles all the setup. We’ve also added mermaid diagrams to Plan mode, new @​terminal and @​git mentions in chat, and visual improvements to checkpoints!

Saoud Rizwan

41,567 görüntüleme • 1 yıl önce

⚡day 5 of launch week: from (zero) MCP server to ChatGPT app this is peak developer experience 🤌🏼 1. define your UI in a single react file. 2. test it instantly with hot reload in the built-in Inspector 3. deploy it in one click on mcp-use Cloud 4. ship it directly to ChatGPT with: npx create-mcp-use-app@latest my-server --template apps-sdk you can go from zero to a deployed mcp server with apps sdk widgets in just 5 minutes here's how 🧵
2:50

⚡day 5 of launch week: from (zero) MCP server to ChatGPT app this is peak developer experience 🤌🏼 1. define your UI in a single react file. 2. test it instantly with hot reload in the built-in Inspector 3. deploy it in one click on mcp-use Cloud 4. ship it directly to ChatGPT with: npx create-mcp-use-app@latest my-server --template apps-sdk you can go from zero to a deployed mcp server with apps sdk widgets in just 5 minutes here's how 🧵

pederzh

22,647 görüntüleme • 9 ay önce