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Series
A comprehensive, code-first series on building production-grade AI systems with the Model Context Protocol (MCP) and TypeScript. From your first MCP server to multi-agent orchestration, RAG pipelines, observability, and global deployment — every post is packed with real, runnable code.
From 2 million to 97 million monthly downloads in 16 months — here's what MCP is, why every AI developer is talking about it, and how to build your first MCP server in TypeScript from scratch
You know what MCP is — now let's go deep. A complete TypeScript reference covering every MCP primitive, capability negotiation under the hood, and how to bundle your server as an npm package so anyone can run it with a single npx command
Plan, reason, act — your first real AI agent that calls MCP tools in sequence, handles errors gracefully, and thinks before it acts
See the AI think token-by-token, watch tool calls fire live, and chat with your agent in a real interactive loop — all with the Anthropic streaming API
Graduate from stdio toy servers to a hardened, authenticated, containerised MCP service ready for the real world
Give every connected client its own isolated world — then scale your MCP server across multiple instances without dropping a session
