Learn the Model Context Protocol — the open standard for connecting AI to external tools and data — and build your own MCP servers from scratch.
Before
If you use Claude Code, run `/mcp` to see what MCP servers are currently connected. If you do not use Claude Code, browse the MCP server directory at github.com/modelcontextprotocol/servers to see the ecosystem — note how each server exposes tools, resources, or both.
After
MCP is the USB-C of AI integration — one standard protocol that lets any AI connect to any tool. It defines three primitives: tools (actions the AI can take), resources (data the AI can read), and prompts (reusable interaction templates). Building one MCP server makes your tool accessible to every MCP-compatible AI client.
Tip
Be specific about what you need. The more context you provide, the better the result.
Your result will appear here.
The Model Context Protocol Explained
Explain what MCP is and why it became the 2026 standard for AI-tool integration
Build Your First MCP Server
Set up a Node.js MCP server project with the official TypeScript SDK
Production MCP: Authentication, Error Handling & Deployment
Secure MCP servers with authentication and authorization