Large language models can reason, write, and plan. What they cannot do is act. The Model Context Protocol is the open standard that changes that.MCP connects AI applications to the tools, data, and services where real work happens, and it is quickly becoming the standard interface between models and the world, one protocol instead of a new custom integration for every app and every service.This book teaches MCP from the wire up. Instead of starting with a framework and memorising an API, you will build a complete MCP server in pure Go with no SDK at all, and understand every byte that flows between client and server. Only then does the book introduce the official Go SDK, so you always know what the abstractions are doing for you. From there, it grows into the systems real teams need: - A protocol deep dive: JSON-RPC framing, lifecycle, capability negotiation, stdio and Streamable HTTP transports- An OpenAPI-to-MCP converter that turns any existing REST API into MCP tools automatically- RAG-based tool search that keeps hundreds of tools from overwhelming the model, with fully local embeddings- A federation gateway that composes many MCP servers behind a single interface- A look ahead at the protocol's next revision and how to design servers that survive itEvery chapter is built around working Go code you can run, modify, and extend, and the examples share one running scenario so the pieces add up to a coherent system rather than disconnected demos.Who this book is for: software engineers comfortable with Go who want to build serious MCP servers. General familiarity with LLMs helps; no prior MCP knowledge is assumed, and everything is explained from first principles.The book targets the current MCP specification (2025-11-25) and dedicates a full chapter to the upcoming stateless revision, including a migration strategy, so what you learn stays useful as the protocol evolves.
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