Model Context Protocol roadmap

A standard way to connect models to tools and data, so every integration isn't bespoke. Small enough to learn in a week, and worth it if you're building more than two integrations.

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Seven sections - this is a protocol, not a discipline, and padding it would waste your time. Section 6 is the part most tutorials omit: connecting an MCP server means trusting whoever wrote it, and tool descriptions arrive inside your model's context.

1

Foundations

What the protocol is for, and whether you need it. If you have one integration, a direct tool definition is simpler. The value arrives at three or more, or when someone else consumes your tools.

          2

          Protocol Concepts

                  3

                  Transports

                          4

                          Building Servers

                          The core skill. Most of the quality is in tool design, which is a prompt-engineering problem wearing an API-design costume.

                                      5

                                      Clients and Integration

                                              6

                                              Auth and Deployment

                                                      7

                                                      Security

                                                      The section most tutorials skip. Connecting a server means executing someone else's code and putting their text into your model's context.

                                                              Your first server

                                                              A weekend of work, and the fastest way to understand the protocol properly.

                                                              1. Pick something small you already have. An internal API with three or four useful operations. Not your whole platform.
                                                              2. Design the tools, not the endpoints. One tool per intent. A REST API with twelve endpoints usually becomes four good tools.
                                                              3. Write descriptions for the model, not for a developer. This is the highest-leverage part and the part everyone rushes.
                                                              4. Run it over stdio locally first. Test with a client before adding transport and auth complexity.
                                                              5. Bound the outputs. Paginate, truncate, and return references rather than payloads. Every result lands in a context window.
                                                              6. Add auth only when it leaves your machine. And keep credentials outside anything the model can read.

                                                              Then use it through a real client for a week. Tool design problems only become visible when a model is choosing between them under pressure.

                                                              An MCP server is an API whose consumer is a language model. That single difference drives every design decision here: coarse operations over granular ones, descriptions that disambiguate, results sized for a context window, and errors written so the model can recover rather than merely fail.