What You'll Learn
Build production-grade MCP (Model Context Protocol) servers from scratch. This course covers the full lifecycle: protocol fundamentals, server design, tool and resource implementation, authentication, testing, and deployment.
Module 1: Protocol Foundations
Understand the MCP specification. Transports, message types, capabilities negotiation, and the server lifecycle. Build a minimal server from first principles.
Module 2: Tools & Resources
Implement tools that AI models can call and resources they can read. Input validation with Zod, error handling, pagination, and subscriptions.
Module 3: Security & Auth
Lock down your MCP servers. OAuth 2.1 integration, scoped permissions, input sanitization, rate limiting, and audit logging.
Module 4: Testing & Deployment
Ship with confidence. Unit testing tool handlers, integration testing with real clients, Docker deployment, and monitoring in production.
Who This Course Is For
- Backend developers building tools and integrations for AI assistants
- Platform engineers connecting internal systems to AI models
- TypeScript developers who want deep knowledge of the MCP protocol