Learn MCP (Model Context Protocol) from the fundamentals to production-grade: pre-requisites & environment setup, history & background, core concepts & main architecture, initialize/session/stateless lifecycle, tools, resources & prompts, TypeScript & Python server SDK, client SDK & MCP Inspector, multi-round-trip requests, remote server & deployment, OAuth 2.1 authorization & security, MCP apps & tasks extension, transport deep dive, security hardening, observability & logging, proxy/gateway & fleet, versioning & compatibility, advanced SDK & custom transport, performance & optimization, ecosystem & integration patterns, modern features & roadmap, through to alternative ecosystems & final reflections, in 23 episodes total.
Before diving deeper into MCP, you need to prepare some basic skills and tools first: an understanding of LLM/agent concepts, JSON-RPC and HTTP, TypeScript or Python, and basic OAuth 2.1, along with installing the official SDKs and the MCP Inspector.

Tracing MCP's beginnings from Anthropic's announcement in November 2024, the fragmented custom integration problem it set out to solve, widespread adoption across the AI ecosystem, and the evolution of the specification from the SSE era to the stateless era of 2026-07-28.

Breaking down MCP's three-layer architecture — Host, Client, and Server — along with its main primitives like Tools, Resources, and Prompts, plus the transports connecting them all: Streamable HTTP, SSE, and stdio.

Comparing the two MCP lifecycle eras: the legacy flow with the initialize handshake and session state based on Mcp-Session-Id, versus the modern stateless 2026-07-28 flow that sends version, identity, and capabilities per request and uses server/discover for bootstrapping.

Breaking down Tools in MCP: how a tool is defined with JSON Schema, registered via tools/list, executed via tools/call, produces structured output, the meaning of tool annotations, and why annotations are not a security guarantee.

Diving into MCP's two passive primitives: Resources as context data providers via resources/list and resources/read with resource URIs and templates, and Prompts as reusable templates via prompts/list and prompts/get with argument binding.

In this episode we build a real MCP server in two languages: TypeScript via the high-level McpServer and low-level Server, and Python via FastMCP and the low-level Server, complete with an end-to-end simple tool server example.

This episode builds the MCP client side: connecting to servers via stdio and HTTP in TypeScript and Python, error handling and streaming patterns, then exploring the MCP Inspector for interactive testing, transport debugging, and schema validation.

This episode dissects the headline feature of the 2026-07-28 specification: Multi-Round-Trip Requests. Learn the roles of messageId and routingId for mid-call interactions like user confirmations and authorization step-up, complete with best practices for designing interactive flows.

This episode takes an MCP server into production: making it an HTTP service with Express, Fastify, and Next.js, Docker containerization, discovery via the .well-known file, and stateless routing for horizontal scaling with load balancers and health checks.
