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Maham Codes
Instructor
Maham is an experienced DevRel Content Developer with over 6 years of expertise in open-source frameworks, specializing in creating engaging written and video content for developer communities.
Completion
Certificate included
Format
Interactive coding
Subscription
What MCP is and why it matters for AI development
Core MCP concepts and architecture
Building and running an MCP server with Node.js & TypeScript
Registering tools, resources, and prompts for AI agents
Using STDIO and Streamable HTTP transports for communication
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 (read-only data like files or APIs) - Tools (actions like sending emails or fetching weather) - Prompts (reusable instructions to guide agents) Whether you're building local dev tools or production AI apps, MCP ensures your model always has the right context at the right time. In this hands-on course, you'll: - Build your own Weather MCP Server in Node.js/TypeScript - Add Tools, Resources, and Prompts step by step - Connect your server to MCP Client (Claude Desktop and MCP Inspector) - See your AI agent fetch live responses in real time
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