MCP Builder Track

Build MCP servers, clients, and production AI integrations with Python and TypeScript. From your first FastMCP server to deployed multi-agent systems — the most comprehensive MCP course available. Learn why MCP is the USB-C standard for AI, build hands-on projects, and deploy production-ready integrations.

22 chapters108 lessons40+ hours

Chapters

The N×M Integration Problem in AI

MCP: The USB-C Standard for AI Applications

MCP vs REST APIs vs Function Calling

The MCP Ecosystem Today

Setting Up Your MCP Development Environment

MCP Architecture: Hosts, Clients & Servers

Learn the core components of the client-server architecture of MCP and the underlying communication mechanisms.

The MCP Protocol: JSON-RPC, Transports & Lifecycle

Deep dive into the JSON-RPC 2.0 protocol, transport layers (stdio, Streamable HTTP), capability negotiation, and the full protocol lifecycle.

Your First MCP Server with Python FastMCP

Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP — the fastest way to get started.

Tools: Giving AI the Power to Act

Master MCP tools — functions that AI models can call to perform actions, from simple calculations to complex API integrations.

Resources: Exposing Data to AI

Learn how to expose structured and unstructured data to AI models through MCP resources, URI templates, and subscriptions.

Prompts: Reusable AI Instruction Templates

Create reusable prompt templates that standardize how AI models interact with your tools and resources.

Testing & Debugging with MCP Inspector

Master the MCP Inspector tool for testing, debugging, and validating your MCP servers before deployment.

Building an MCP Client from Scratch

Create an MCP client inside your chatbot to dynamically connect to any MCP server and use its capabilities.

Project: AI-Powered Research Assistant

Build a chatbot with custom tools for searching academic papers, and transform it into a full MCP-compatible application.

Connecting to Reference Servers

Connect your chatbot to reference servers built by the MCP team — filesystem operations, web content extraction, and more.

Claude Desktop Integration

Configure Claude Desktop to connect to your server and others, exploring how it abstracts away the low-level logic of MCP clients.

MCP in IDEs & AI Coding Agents

Integrate MCP servers with Cursor, VS Code Copilot, Windsurf, Claude Code, and other AI coding tools.

Building MCP Servers with TypeScript

Build production-quality MCP servers using the official TypeScript SDK with full type safety and modern patterns.

Advanced Server Patterns

Master advanced MCP patterns: context management, logging, progress reporting, cancellation, and server composition.

Deploying MCP Servers Remotely

Deploy your MCP server remotely with Streamable HTTP transport and test it with the Inspector or other MCP-compatible applications.

Authentication & Security

Implement OAuth 2.1 authentication, bearer tokens, scope-based access control, and security best practices for MCP servers.

Building a Production MCP Server

Project: Build a complete production-ready MCP server with database integration, error handling, rate limiting, and monitoring.

The MCP Server Ecosystem

Explore the growing ecosystem of MCP servers — GitHub, Slack, databases, Sentry, Figma, and hundreds more.

Multi-Agent Architecture with MCP

Learn how MCP enables multi-agent systems where specialized AI agents share tools and data through standardized protocols.

The Future of MCP

Learn about the roadmap for future MCP development — registry API, server discovery, authorization standards, and emerging patterns.

Capstone: Full-Stack MCP Application

Build a complete, portfolio-ready AI application that connects to multiple MCP servers with production deployment.