mcpstepbystep

the model context protocol, taught step by step

MCP tutorials that don't stop at hello world — one step at a time.

Most MCP tutorials end where the real questions begin. This site is the whole staircase: build your first server in Python or TypeScript, wire it into every client, debug it like a professional, then ship it remote — with auth, security, and governance handled. Numbered steps, exact error strings, no hand-waving.

20 evergreen guides· 14 copy-paste templates· Python & TypeScript· written against spec 2025-11-25

host · mcp client mcp:github mcp:postgres mcp:yourapi repos database rest api

start with the words

What MCP actually is — in three definitions

MCP

The Model Context Protocol: an open standard that lets any AI application plug into tools, files, and data through one connector — instead of a custom integration per app, per API. Think USB, but for model context.

server

A small program you write (or install) that exposes tools, resources, and prompts to a model. Fifty lines of Python is a real server. It's the thing this site teaches you to build well.

host & client

The host is the AI app you already use — Claude, Cursor, VS Code, ChatGPT. It runs an MCP client that connects to your servers, discovers what they offer, and lets the model call them. One server, every host.

why this site is different

  • It goes past step 5. Transports, OAuth, deployment, security hardening, token cost — the parts every hello-world tutorial skips are the parts this site is built on.
  • Exact error strings. Every tutorial ends with the real failures — spawn npx ENOENT, tools that silently don't appear — and their fixes.
  • Every client, both languages. Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT, Gemini CLI — in Python and TypeScript. No single-vendor framing.
  • Evergreen, version-pinned. No news posts. Claims are pinned to spec revisions and SDK versions, and re-argued when the spec moves.
  • Production depth is real. Written by an enterprise AI architect: governance, gateways, and threat models any team can apply — from a side project to a regulated org.

learn

Tutorials

The staircase: Foundations → Builder → Production. Your first server to a deployed, authenticated, hardened one — in order, from one voice.

decide

Compare & Decide

MCP vs function calling, stdio vs Streamable HTTP, FastMCP vs the official SDK — trade-off tables with a verdict, not vibes.

run safely

Production & Governance

Rollout frameworks, gateway patterns, threat models, and token cost control — for MCP doing real work, from team rollouts to regulated industries.

watch

Radar

A quarterly-reviewed map of the MCP ecosystem: what to adopt, trial, assess, or hold — with reasons, not headlines.

copy

Templates

Skip the blank page: server starters in both languages, client configs, Dockerfiles, and security checklists — copy, paste, adapt.

the reference shelf

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