Загрузка видео...

Не удалось загрузить видео

На главную

I'm excited that Visual Studio Code (Insiders) now supports the full Model Context Protocol (MCP) spec, including sampling! ⚡ I just published a new blog post and video showing how you can use sampling to generate tags for journal entries in an MCP-powered app. Check out what’s possible!

kentcdodds's profile picture

Kent C. Dodds ⚡

311,459 subscribers

189,564 просмотров • 1 год назад •via X (Twitter)

ИскусствоНаука и технологииОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 12

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

Read more here: Join me for my MCP Fundamentals workshop where we'll actually use this feature!

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

More on this here:

Фото профиля PDF GPT
PDF GPT2 лет назад

This is my favorite AI tool for reviewing reports. Just upload a report, ask for a summary, and get one in seconds. It's like ChatGPT, but built for documents. Try it for free.

Фото профиля Babacar C. DIA
Babacar C. DIA1 год назад

@code the lighting looks great!

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

@code Thanks 😊

Фото профиля Ian Maurer 🧬🤖🐍
Ian Maurer 🧬🤖🐍1 год назад

@code Keep it up Kent, love the MCP content.

Фото профиля Catalin Miron - AnimateReactNative.com
Catalin Miron - AnimateReactNative.com1 год назад

@code I really like this setup!

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

@code Thanks!

Фото профиля Gabriel from Kodus
Gabriel from Kodus1 год назад

@code Awesome stuff → but seriously, WTF is that VSCode font theme?!

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

@code

Фото профиля Michael Grinich
Michael Grinich1 год назад

@code sampling is such a powerful and under discussed feature!

Фото профиля Kent C. Dodds ⚡
Kent C. Dodds ⚡1 год назад

@code It's under discussed because until now nobody could use it 😅

Похожие видео

I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!
0:26

I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!

Oren Melamed

11,738 просмотров • 5 месяцев назад

Introducing Asterisk MCP - An MCP server that fixes security vulnerabilities while you vibe code. Supports Cursor, Windsurf, Cline, Claude, and any IDE that supports the model context protocol. It can perform codebase-wide scans, analyze snippets in your conversation history, and verify changes/fixes for security issues. mcp dot asterisk dot so
0:57

Introducing Asterisk MCP - An MCP server that fixes security vulnerabilities while you vibe code. Supports Cursor, Windsurf, Cline, Claude, and any IDE that supports the model context protocol. It can perform codebase-wide scans, analyze snippets in your conversation history, and verify changes/fixes for security issues. mcp dot asterisk dot so

mufeed vh

14,312 просмотров • 1 год назад

As you may have seen, the GitHub MCP registry is now LIVE! But how do you use it in Visual Studio Code? Checkout this video by thejetdev to see how you can access the MCP servers live in the registry today 👇
0:53

As you may have seen, the GitHub MCP registry is now LIVE! But how do you use it in Visual Studio Code? Checkout this video by thejetdev to see how you can access the MCP servers live in the registry today 👇

Visual Studio Code

18,566 просмотров • 10 месяцев назад

TypingMind now supports MCP! Limitless posibility what you can do with TypingMind now, integrate with everything! Go to Settings → Model Context Protocol and start the setup. Check the docs (link below) for more info 😄
1:01

TypingMind now supports MCP! Limitless posibility what you can do with TypingMind now, integrate with everything! Go to Settings → Model Context Protocol and start the setup. Check the docs (link below) for more info 😄

Tony Dinh

25,891 просмотров • 1 год назад

Doom is now an MCP App 🎮 Waiting for the build in Visual Studio Code just got fun with your favorite arcade games! Runs on all MCP Apps hosts: Claude, goose, Postman, and more. My server pulls the games from the awesome Internet Archive. Check it out!
0:28

Doom is now an MCP App 🎮 Waiting for the build in Visual Studio Code just got fun with your favorite arcade games! Runs on all MCP Apps hosts: Claude, goose, Postman, and more. My server pulls the games from the awesome Internet Archive. Check it out!

Ido Salomon

15,003 просмотров • 5 месяцев назад

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:
6:15

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

Santiago

215,727 просмотров • 1 год назад

I'm excited to share the latest and greatest about Model Context Protocol (MCP). This is where your users are going and I want you to be ready for them when they get there. Join me June 17th for a hands-on workshop to learn all about MCP!
2:09

I'm excited to share the latest and greatest about Model Context Protocol (MCP). This is where your users are going and I want you to be ready for them when they get there. Join me June 17th for a hands-on workshop to learn all about MCP!

Kent C. Dodds ⚡

44,935 просмотров • 1 год назад

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
1:48

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,696 просмотров • 10 месяцев назад

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
0:40

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Molly O’Shea

20,408 просмотров • 1 год назад

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

142,010 просмотров • 1 год назад

Move over, Playwright? Meet MCP-Chrome by Hangwin — an open-source AI agent tool that can fully control your Chrome browser: cross-tab context, session auth, history & more. In this video, AJ @ Augment Code: - Sets up MCP-Chrome & connects it to Auggie CLI - Gives the agent a multi-step task across Reddit & X - Generates a full report in a web app Perfect for automated testing, research & dev workflows. What’s your favorite underrated MCP tool right now?
4:31

Move over, Playwright? Meet MCP-Chrome by Hangwin — an open-source AI agent tool that can fully control your Chrome browser: cross-tab context, session auth, history & more. In this video, AJ @ Augment Code: - Sets up MCP-Chrome & connects it to Auggie CLI - Gives the agent a multi-step task across Reddit & X - Generates a full report in a web app Perfect for automated testing, research & dev workflows. What’s your favorite underrated MCP tool right now?

Augment Code

49,325 просмотров • 11 месяцев назад

MCP is an absolute game-changer. Yesterday, I taught a 2-hour session about MCP covering the following topics: 1. Introduction to the protocol 2. Why do we need it? 3. Protocol architecture 4. MCP Server and Client primitives 5. An MCP demo Here is the full 2-hour video, free for you to watch. If you want to see more free sessions like this, like this post and follow me. A lot more coming!
2:23:25

MCP is an absolute game-changer. Yesterday, I taught a 2-hour session about MCP covering the following topics: 1. Introduction to the protocol 2. Why do we need it? 3. Protocol architecture 4. MCP Server and Client primitives 5. An MCP demo Here is the full 2-hour video, free for you to watch. If you want to see more free sessions like this, like this post and follow me. A lot more coming!

Santiago

36,265 просмотров • 1 год назад

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓
0:43

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

Santiago

39,944 просмотров • 1 год назад

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.
3:27

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.

Santiago

44,830 просмотров • 1 год назад

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉
1:29

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉

MongoDB

19,994 просмотров • 1 год назад

A designer who can ship code is one of the most valuable hires in tech today. Here's my new episode with Felix Lee (CEO of ADPList) where he showed me how to use Claude Code and Figma MCP to go from: ✅ Figma → Code: Design to website in 15 min ✅ Code → Figma: App back to editable design Felix also demoed a few apps he's designed and built in Claude Code, including a 3D globe website and a landing page analyzer. Some takeaways from Felix: 1. Stop pasting screenshots into Claude Code. Instead, use Figma MCP to pull in all your assets, icons, and images automatically. 2. You can use the same MCP to convert code back into editable Figma layers to explore more variations. 3. An underrated way to build: Use FigJam to plan a flowchart of your app first, then paste the link into Claude Code with the MCP. 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams
0:48

A designer who can ship code is one of the most valuable hires in tech today. Here's my new episode with Felix Lee (CEO of ADPList) where he showed me how to use Claude Code and Figma MCP to go from: ✅ Figma → Code: Design to website in 15 min ✅ Code → Figma: App back to editable design Felix also demoed a few apps he's designed and built in Claude Code, including a 3D globe website and a landing page analyzer. Some takeaways from Felix: 1. Stop pasting screenshots into Claude Code. Instead, use Figma MCP to pull in all your assets, icons, and images automatically. 2. You can use the same MCP to convert code back into editable Figma layers to explore more variations. 3. An underrated way to build: Use FigJam to plan a flowchart of your app first, then paste the link into Claude Code with the MCP. 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams

Peter Yang

77,115 просмотров • 4 месяцев назад

That gap between design and production? Closed. 🔁 GitHub Copilot, Visual Studio Code, and Figma now create a continuous loop. With the bidirectional Figma MCP server, Copilot users can: 🔹 Pull design context into code 🔹 Push working UI back to the canvas Connect your canvas and stay in the flow. 👇
1:40

That gap between design and production? Closed. 🔁 GitHub Copilot, Visual Studio Code, and Figma now create a continuous loop. With the bidirectional Figma MCP server, Copilot users can: 🔹 Pull design context into code 🔹 Push working UI back to the canvas Connect your canvas and stay in the flow. 👇

GitHub

113,080 просмотров • 4 месяцев назад

Just made an MCP server to use Anthropic’s new web search tool. What I love about it is that the search is agentic. You can use any model to call a Claude instance that returns processed search results. Or specify how deep the search should be. 🔗 Link in the comments.
0:23

Just made an MCP server to use Anthropic’s new web search tool. What I love about it is that the search is agentic. You can use any model to call a Claude instance that returns processed search results. Or specify how deep the search should be. 🔗 Link in the comments.

Pietro Schirano

29,189 просмотров • 1 год назад