MCP (Model Context Protocol) lets developers securely connect tools, APIs, and data sources to AI models like Claude, GPT, or Gemini. With MCP, your AI isn’t just a chatbot—it becomes a powerful, action-taking agent that can interact with the outside world.

MCP is an open protocol by Anthropic that bridges the gap between language models and real-world context. It standardizes how models access resources, tools, and prompts. Whether you’re building local dev tools or production AI apps, MCP ensures your model always has the right context at the right time. MCP is perfect for developers who want to build AI agents that take meaningful actions, fetch live data from APIs, files, or databases, connect LLM models to IDE plugins or command-line tools, develop composable, multi-server AI workflows, and debug and inspect AI integrations with ease. What you'll build: In this hands-on course, you’ll build your own Weather MCP Server in Node.js/TypeScript and add Tools, Resources, and Prompts. You'll also connect your server to MCP Client (Claude Desktop and MCP Inspector) and see your AI agent fetch live responses in real time!