From the course: Model Context Protocol (MCP): Hands-On with Agentic AI

MCP: Connecting AI agents to data, apps, and more - Claude Tutorial

From the course: Model Context Protocol (MCP): Hands-On with Agentic AI

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MCP: Connecting AI agents to data, apps, and more

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- Okay, let's talk about MCP, Model Context Protocol. This simple protocol brings the utility of a Natural Language Interface to any data source and software that has an MCP server built for it. An MCP is open source and client diagnostic, meaning, anyone can build an MCP server, and any software that already leverages LLMs can also hook into MCPs. But forget the technical part for a moment. When you use ChatGPT or Claude or another AI chat app, I bet you've wondered if you could get it to retrieve data from a source and then do something with it or maybe run software. That is what MCP allows you to do. It's a protocol that provides context for language models to interact with resources, run tools, and do whatever else you can think of. So come hang out with me for a bit and we'll explore how to use MCPs in Claude and Cursor, and then I'll show you how to build and run your own MCP servers using Python and TypeScript. The Model Context Protocol bridges the gap between AI tools and the tools we use every day, and I'm here to show you how to use it right. Let's get cracking.

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