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👋 Meet the Model Context Protocol (MCP): the open standard allowing apps to feed vital context to LLMs. Why is this protocol so important? Because context is what turns those generic AI replies into relevant, useful assistance tailored to your work. In this video, ☁️ Chris Reddington explains how...

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35,316 görüntüleme • 1 yıl önce •via X (Twitter)

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@reddobowen It’s great to see how it enhances tools like GitHub Copilot by delivering more relevant and tailored context.

Benzer Videolar

What is MCP and why is everyone talking about it? In our latest episode of the GitHub Podcast, the team breaks down how the Model Context Protocol is making AI tools more powerful, open, and accessible. Listen wherever you catch your podcasts or
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What is MCP and why is everyone talking about it? In our latest episode of the GitHub Podcast, the team breaks down how the Model Context Protocol is making AI tools more powerful, open, and accessible. Listen wherever you catch your podcasts or

GitHub

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AI that senses coding frustration, is this the future of learning? In our latest GitHub Podcast episode we talk to Angie Jones about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP).
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AI that senses coding frustration, is this the future of learning? In our latest GitHub Podcast episode we talk to Angie Jones about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP).

GitHub

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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 görüntüleme • 1 yıl önce

Think of Model Context Protocol as a USB port for your AI. 🔌 You can plug in documentation, tools, and context directly into Copilot CLI. Scott Hanselman 🌮 shows how to set it all up. 👇
4:07

Think of Model Context Protocol as a USB port for your AI. 🔌 You can plug in documentation, tools, and context directly into Copilot CLI. Scott Hanselman 🌮 shows how to set it all up. 👇

GitHub

44,242 görüntüleme • 5 ay önce

Today we open Laravel MCP (beta) to the public! Laravel MCP is a library that makes it simple to build Model Context Protocol servers in your Laravel apps. This gives AI clients (like Claude, Cursor, & ChatGPT) a structured way to interact with your application. It's already been field tested by powering Laravel Boost.
0:21

Today we open Laravel MCP (beta) to the public! Laravel MCP is a library that makes it simple to build Model Context Protocol servers in your Laravel apps. This gives AI clients (like Claude, Cursor, & ChatGPT) a structured way to interact with your application. It's already been field tested by powering Laravel Boost.

Laravel

77,991 görüntüleme • 9 ay önce

Set up your new GitHub Copilot agent for success! 🚀 This video will show you how to: ✅ Define clear, well-scoped issues. ⚙️ Utilize Copilot custom instructions effectively. 💻 Ensure a proper development environment setup. 🔗 Grant tool access via the Model Context Protocol (MCP). Watch and then head over to Docs for more tips! 👇
1:55

Set up your new GitHub Copilot agent for success! 🚀 This video will show you how to: ✅ Define clear, well-scoped issues. ⚙️ Utilize Copilot custom instructions effectively. 💻 Ensure a proper development environment setup. 🔗 Grant tool access via the Model Context Protocol (MCP). Watch and then head over to Docs for more tips! 👇

GitHub

69,797 görüntüleme • 1 yıl önce

Turn GitHub Copilot into a subject matter expert with Copilot Spaces. 🧠 This new feature helps you centralize project context, leading to smarter, more relevant AI assistance. 🚀 Learn more here👇
0:46

Turn GitHub Copilot into a subject matter expert with Copilot Spaces. 🧠 This new feature helps you centralize project context, leading to smarter, more relevant AI assistance. 🚀 Learn more here👇

GitHub

35,859 görüntüleme • 1 yıl önce

What happens when you bring the power of Copilot agents into your own apps? 🤖 ☁️ Chris Reddington demos Flight School, his local Next.js app built with the new GitHub Copilot SDK. It pulls context from your GitHub profile to generate personalized learning challenges, goals, and tips. 🚀 Head over to the Copilot SDK repo to start your own creation. ⬇️
8:51

What happens when you bring the power of Copilot agents into your own apps? 🤖 ☁️ Chris Reddington demos Flight School, his local Next.js app built with the new GitHub Copilot SDK. It pulls context from your GitHub profile to generate personalized learning challenges, goals, and tips. 🚀 Head over to the Copilot SDK repo to start your own creation. ⬇️

GitHub

33,812 görüntüleme • 4 ay önce

Learn how to control the Unity Editor through the official Unity Model Context Protocol (MCP) 🤝 Try the Unity AI Beta for free:
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Learn how to control the Unity Editor through the official Unity Model Context Protocol (MCP) 🤝 Try the Unity AI Beta for free:

Unity for Games

3,184,222 görüntüleme • 1 ay önce

🇸🇦🇺🇸 DAVID SACKS: MCP IS THE NEXT BIG WAVE IN AI "MCP {Model Context Protocol} is a new standard that allows agents to talk to existing SaaS applications or any kind of application, and it's really going to enable this agentic future that I think is the next big wave in AI." Source: David Sacks
0:56

🇸🇦🇺🇸 DAVID SACKS: MCP IS THE NEXT BIG WAVE IN AI "MCP {Model Context Protocol} is a new standard that allows agents to talk to existing SaaS applications or any kind of application, and it's really going to enable this agentic future that I think is the next big wave in AI." Source: David Sacks

Mario Nawfal

123,166 görüntüleme • 1 yıl önce

What if you could triage issues, fetch context, and review pull requests—managing your entire development workflow—without ever leaving your IDE? Watch how combining GitHub Copilot with the MCP Server brings GitHub context and capabilities right into your editor. 🤖⚙️
4:25

What if you could triage issues, fetch context, and review pull requests—managing your entire development workflow—without ever leaving your IDE? Watch how combining GitHub Copilot with the MCP Server brings GitHub context and capabilities right into your editor. 🤖⚙️

GitHub

59,474 görüntüleme • 11 ay önce

In this video, we break down the Model Context Protocol — a massively underrated concept in AI that's quietly redefining what large language models can do. While most people are distracted by the hype, MCP is solving a core problem: LLMs that can perform actions. We dive into: 1. The limitations of current AI systems 2. What makes MCP different 3. How MCP can reduce engineering overhead 4. Real-world scenarios where MCP shines 00:00 What is MCP? 01:48 Usecase - SEO 03:50 Usecase - RAG 04:50 Usecase - Apps 06:30 Conclusion 07:00 The future? #MCP #AI #LLM
9:17

In this video, we break down the Model Context Protocol — a massively underrated concept in AI that's quietly redefining what large language models can do. While most people are distracted by the hype, MCP is solving a core problem: LLMs that can perform actions. We dive into: 1. The limitations of current AI systems 2. What makes MCP different 3. How MCP can reduce engineering overhead 4. Real-world scenarios where MCP shines 00:00 What is MCP? 01:48 Usecase - SEO 03:50 Usecase - RAG 04:50 Usecase - Apps 06:30 Conclusion 07:00 The future? #MCP #AI #LLM

Gaurav Sen

41,117 görüntüleme • 1 yıl önce

This guy literally breaks down Model Context Protocol (MCP) in 20 minutes
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This guy literally breaks down Model Context Protocol (MCP) in 20 minutes

Aadit Sheth

236,802 görüntüleme • 1 yıl 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

142,010 görüntüleme • 1 yıl önce

🤖 Introducing our Model Context Protocol (MCP) Server The MCP protocol standardizes how apps provide context to LLMs. No more training LLMs — just connect them directly to our blockchain APIs for live token prices, transfers, NFT data, and more 💪 Build smarter AI agents today! Let’s gooooooo 🔗 -------------- TIMESTAMPS 0:00 Setting up the configuration file 0:30 Add configuration to Cursor 1:06 Executing prompts for the price of ETH 2:25 Getting data on Vitalik’s transfers 3:45 Contributing or accessing our MCP server
3:58

🤖 Introducing our Model Context Protocol (MCP) Server The MCP protocol standardizes how apps provide context to LLMs. No more training LLMs — just connect them directly to our blockchain APIs for live token prices, transfers, NFT data, and more 💪 Build smarter AI agents today! Let’s gooooooo 🔗 -------------- TIMESTAMPS 0:00 Setting up the configuration file 0:30 Add configuration to Cursor 1:06 Executing prompts for the price of ETH 2:25 Getting data on Vitalik’s transfers 3:45 Contributing or accessing our MCP server

Alchemy

11,521 görüntüleme • 1 yıl önce

Explore the dart_mcp package, a powerful framework for building Model Context Protocol (MCP) servers and clients in Dart, enabling you to connect AI models to resources, tools, and create custom workflows.
3:06

Explore the dart_mcp package, a powerful framework for building Model Context Protocol (MCP) servers and clients in Dart, enabling you to connect AI models to resources, tools, and create custom workflows.

Flutter

23,120 görüntüleme • 2 ay önce

It started as a small idea to connect AI models to developer workflows. It turned into one of the fastest-growing open standards in the industry. 🚀 Now, the Model Context Protocol is officially joining the The Linux Foundation. Hear from the engineers and maintainers of GitHub, Microsoft, Anthropic, and OpenAI on the journey from day zero to now. 👇
1:36

It started as a small idea to connect AI models to developer workflows. It turned into one of the fastest-growing open standards in the industry. 🚀 Now, the Model Context Protocol is officially joining the The Linux Foundation. Hear from the engineers and maintainers of GitHub, Microsoft, Anthropic, and OpenAI on the journey from day zero to now. 👇

GitHub

44,936 görüntüleme • 6 ay önce

Model Context Protocol (MCP) lets Gemini CLI connect to your databases, cloud services, and local files without custom integrations for every tool! Watch this week’s livestream to see how it works →
1:06

Model Context Protocol (MCP) lets Gemini CLI connect to your databases, cloud services, and local files without custom integrations for every tool! Watch this week’s livestream to see how it works →

Google Cloud Tech

28,269 görüntüleme • 4 ay önce

Your standards. Your tools. Every review. Copilot code review supports custom agent skills and MCP server connections. Now in public preview for existing Copilot Pro, Pro+, Business, and Enterprise users. Bring your org's context and standards right into the diff. 💡
3:32

Your standards. Your tools. Every review. Copilot code review supports custom agent skills and MCP server connections. Now in public preview for existing Copilot Pro, Pro+, Business, and Enterprise users. Bring your org's context and standards right into the diff. 💡

GitHub

60,083 görüntüleme • 18 gün önce

1/ The Model Context Protocol isn't just another dev tool - it's letting AI assistants break free from chat windows to directly manage your Git repos, run tests, and maintain project memory. Here's why MCP is a game-changer 🧵
0:37

1/ The Model Context Protocol isn't just another dev tool - it's letting AI assistants break free from chat windows to directly manage your Git repos, run tests, and maintain project memory. Here's why MCP is a game-changer 🧵

Cline

50,041 görüntüleme • 1 yıl önce