The protocol powering the next wave of AI tooling. Learn to build MCP servers, connect AI agents to real-world data, and ship production-ready integrations — with free, hands-on tutorials.
Go from zero to shipping production MCP integrations. Hands-on projects, real-world patterns, no filler.
Understand the protocol from the ground up — transports, message lifecycle, capabilities negotiation, and the client-server architecture.
Build servers that expose tools, resources, and prompts. Learn TypeScript and Python SDKs through practical, working examples.
Connect your MCP servers to Claude, ChatGPT, and custom AI agents. Handle auth, manage sessions, and orchestrate multi-tool workflows.
Build and distribute reusable Skills for Claude Code. Create custom slash commands, package expertise into shareable modules, and extend AI coding workflows.
Input validation, OAuth 2.1 flows, rate limiting, error handling, and deployment patterns for MCP servers you can trust in production.
No signup required. Start with the fundamentals or jump straight into building.
The Model Context Protocol explained in plain English — what it does, why it exists, and how it works.
A step-by-step TypeScript tutorial. Go from empty folder to a working MCP server connected to Claude.
Two ways to give AI models tools — when to use each, and why MCP is winning for multi-app tooling.
12 things to verify before you ship an MCP server to production — auth, validation, rate limits, and more.
Whether you're extending AI capabilities or building the next great developer tool.
Add AI-powered interfaces to your existing APIs and services.
Give your agents real-world superpowers through standardized tooling.
Make your tools available to every AI assistant through MCP.
Roll out MCP across your org with security, governance, and scale in mind.
New tutorials and guides as they're published, in order — from fundamentals to production deployment. Free.
First lesson is on its way. Meanwhile, start the free training.
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