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.

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

277,362 subscribers

23,056 views • 1 month ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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

141,930 views • 1 year ago

Gemini CLI now integrates with FastMCP, Python's leading library for building MCP servers! Effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI! Read the announcement→

Gemini CLI now integrates with FastMCP, Python's leading library for building MCP servers! Effortlessly connect your custom MCP tools and prompts, directly to Gemini CLI! Read the announcement→

Google Cloud Tech

29,477 views • 8 months ago

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.

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 views • 11 months ago

🚀 Fresh in the BApp Store: MCP Server Link Burp Suite to your AI clients with the Model Context Protocol. 🧠 Integration with Claude Desktop? Easy-peasy. 🛰️ Need a Stdio MCP proxy? Locked and loaded. 🔓 Unlock new LLM workflows.

🚀 Fresh in the BApp Store: MCP Server Link Burp Suite to your AI clients with the Model Context Protocol. 🧠 Integration with Claude Desktop? Easy-peasy. 🛰️ Need a Stdio MCP proxy? Locked and loaded. 🔓 Unlock new LLM workflows.

BApp Store

62,325 views • 1 year ago

Transform AI agent workflows into MCP servers. MCP clients like Cursor and Windsurf can invoke and orchestrate agents the same way it does other MCP servers. 100% opensource.

Transform AI agent workflows into MCP servers. MCP clients like Cursor and Windsurf can invoke and orchestrate agents the same way it does other MCP servers. 100% opensource.

Shubham Saboo

16,340 views • 1 year ago

Leverage the Dart MCP Server to enhance your Dart and Flutter development experience 💻✨ In this blog, explore useful tools provided by the Dart MCP Server and learn how to configure the server for use in popular development environments and tools →

Leverage the Dart MCP Server to enhance your Dart and Flutter development experience 💻✨ In this blog, explore useful tools provided by the Dart MCP Server and learn how to configure the server for use in popular development environments and tools →

Flutter

18,878 views • 10 months ago

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

David

27,784 views • 6 months ago

🔥 Contextus is LIVE and it's on FIRE! We're thrilled to drop the latest GitHub update to Contextus, the ultimate Model Context Protocol Manager! ✅ Contextus is an open source service and a CLI package management tool for MCP servers. Stay Tuned!..

🔥 Contextus is LIVE and it's on FIRE! We're thrilled to drop the latest GitHub update to Contextus, the ultimate Model Context Protocol Manager! ✅ Contextus is an open source service and a CLI package management tool for MCP servers. Stay Tuned!..

Matrix AI Network

14,010 views • 1 year ago

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Agent-in-the-browser unlocks superpowers. The magic really shines when you bring your own model, system prompts, and MCP tools into the mix. Hence, AgentBoard 🪄. Your models, keys, and settings. Integration with remote MCP servers and — this is where it gets really fun — ability to register and allow the agent to call custom ~WebMCP tools that execute in context of the page. Chrome Web Store: Code:

Ilya Grigorik

22,940 views • 7 months 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

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:

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

80,860 views • 8 months ago

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 →

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 views • 3 months ago

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

15,810 views • 29 days ago

Had a great chat with David Soria Parra (co-creator of MCP) and Theodora Chu (MCP PM) about the origins of the protocol, tips for building clients and servers, and what the future of MCP looks like.

Had a great chat with David Soria Parra (co-creator of MCP) and Theodora Chu (MCP PM) about the origins of the protocol, tips for building clients and servers, and what the future of MCP looks like.

Alex Albert

15,240 views • 11 months ago

Anthropic Model Context Protocol Demo! 📚 Step-by-step Hands-on Tutorial 🛠️ Custom Tools, Custom Actions in Anthropic 🔗 Add YOUR App to Claude AI! ⚙️ What is MCP? ⚡ How to Install? 🌦️ How to Integrate Custom Weather App? 🏃‍♂️ How to Create Notes App? 🔌 How to Integrate in Desktop App? Follow Mervin Praison for more

Anthropic Model Context Protocol Demo! 📚 Step-by-step Hands-on Tutorial 🛠️ Custom Tools, Custom Actions in Anthropic 🔗 Add YOUR App to Claude AI! ⚙️ What is MCP? ⚡ How to Install? 🌦️ How to Integrate Custom Weather App? 🏃‍♂️ How to Create Notes App? 🔌 How to Integrate in Desktop App? Follow Mervin Praison for more

Mervin Praison

22,200 views • 1 year ago

The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

Adeniyi.sui

24,521 views • 11 months ago

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.

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

77,938 views • 8 months ago

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

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

25,233 views • 9 months ago

Already know the basics of the Model Context Protocol? On July 18, I’m running a live, hands-on workshop covering advanced MCP features—sampling, elicitation, advanced tools, and more. If you want to build real, production-ready AI integrations, this is for you.

Already know the basics of the Model Context Protocol? On July 18, I’m running a live, hands-on workshop covering advanced MCP features—sampling, elicitation, advanced tools, and more. If you want to build real, production-ready AI integrations, this is for you.

Kent C. Dodds ⚡

48,137 views • 11 months ago