Build AI Agents with MCP - Model Context Protocol - TS/PY

About this course

Master the Model Context Protocol (MCP): Build MCP Servers in Python & TypeScript

Learn how to build MCP servers step by step and create production-ready AI agents powered by the Model Context Protocol (MCP). This hands-on course covers everything from MCP Python SDK and TypeScript SDK setup to deploying and publishing secure MCP servers for real-world LLM integration.

The Model Context Protocol is the emerging standard for connecting AI agents to external tools, data sources, and APIs. Whether you're building agentic AI solutions, integrating MCP clients with Large Language Models, or exploring how MCP vs other AI integration frameworks compares—this is your complete guide to Model Context Protocol development.

You'll master MCP server and MCP client architecture, understand STDIO vs Streamable HTTP transport layers, learn to build AI agents with MCP, and debug, test, and inspect your implementations like a pro. By the end, you'll confidently deploy and publish MCP solutions that are secure, scalable, and production-ready.

What You'll MasterFoundation & Setup

Start strong with a solid understanding of MCP architecture, hosts, and the ecosystem. Set up your development environment and connect your first external MCP within minutes—no prior experience required.

Hands-On Building in Two Languages

Choose your weapon—or learn both! Build complete MCP servers in TypeScript and Python with parallel implementations using the MCP Python SDK and TypeScript SDK. Compare approaches side by side and pick what works best f

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