The Model Context Protocol (MCP) is the most important standard to emerge in AI development since the Transformer architecture. Created by Anthropic and adopted by Microsoft, Google, Amazon, Replit, Sourcegraph, and thousands of companies, MCP is the universal protocol that lets AI models talk to external tools, databases, APIs, and services.
If you are an AI developer who does not understand MCP, you are already falling behind. If you master it, you will be in the top 1% of developers that every company is desperate to hire.
This course takes you from zero to production-ready MCP expert across 10 chapters and 40 hands-on lessons. You will build real MCP servers in both TypeScript and Python, create tools that give AI models superpowers, deploy to production, and learn the security and enterprise patterns that separate junior developers from senior architects.
What You Will Build
- A complete MCP server from scratch in TypeScript and Python
- Database CRUD tools with real-time validation
- REST API and GraphQL integration tools
- A full GitHub automation MCP server (repos, issues, PRs, code search)
- An enterprise database explorer with query safety and audit logging
- OAuth 2.1 authentication for MCP servers
- Multi-tenant MCP architecture for SaaS products
- Custom MCP clients for web and mobile
- Production deployments with Docker and Kubernetes
- Open-source MCP server packages ready for npm/PyPI
Why This Course Is Different
Most MCP tutorials show you the basics and stop. This course goes deep into production patterns that the documentation does not cover: connection pooling, graceful degradation, multi-tenant isolation, compliance logging, performance optimization, and the business side of MCP (monetization, consulting, open-source strategy).
Every lesson includes real, runnable code — not pseudocode. Every project is production-grade — not a toy demo.
Who This Course Is For
- Backend and full-stack developers who want to connect AI to real-world systems
- AI engineers building agent systems that need external tool access
- DevOps engineers automating infrastructure with AI
- Startup founders building AI-powered products
- Freelancers who want to charge premium rates for MCP consulting
- Anyone who wants to future-proof their career with the #1 AI developer skill of 2026
Prerequisites
- Comfortable with TypeScript or Python (ideally both)
- Basic understanding of REST APIs and JSON
- Familiarity with npm/pip package management
- No prior MCP experience required — we start from zero
