# Quickstart: TypeScript
> Deploy your first Typescript Streamable HTTP MCP server in minutes
Get started with one command:
```bash
npx create-smithery@latest
```
### Overview
In this quickstart, we'll build a simple MCP server that says *hello* to users. We'll use the official [TypeScript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) with the [Smithery CLI](https://github.com/smithery-ai/cli). By the end, you'll have a live, deployed server with built-in authentication that you can connect to from any MCP client.
For Python, check out our [Python quickstart guide](/getting_started/quickstart_build_python).
### Prerequisites
* [Node.js](https://nodejs.org/) >18 (includes npm)
* A [Smithery API key](https://smithery.ai) for development features
### 1. Initialize the Server
```bash
npx create-smithery@latest
```
This retrieves and executes the [Create Smithery](https://github.com/smithery-ai/create-smithery) initializer package, which sets up a TypeScript MCP server scaffold with example code and all necessary dependencies.
The command will prompt you to configure your server, including selecting the transport method. For this quickstart, we'll use the HTTP transport.
### 2. Edit the Server
In `src/index.ts`, you'll see a default server that says hello to a given name. Edit it to add your own tools, resources, and prompts.
Here's the basic structure:
```typescript
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";
// Optional: Configuration schema for session
// export const configSchema = z.object({
// debug: z.boolean().default(false).describe("Enable debug logging"),
// });
export default function createServer({ config }) {
const server = new McpServer({
name: "Say Hello",
version: "1.0.0",
});
// Add a tool
server.registerTool("hello", { // [!code highlight]
title: "Hello Tool", // [!code highlight]
description: "Say hello to someone", // [!code highlight]
inputSchema: { name: z.string().describe("Name to greet") }, // [!code highlight]
}, async ({ name }) => ({ // [!code highlight]
content: [{ type: "text", text: `Hello, ${name}!` }], // [!code highlight]
})); // [!code highlight]
// The scaffold also includes example resources and prompts
// server.registerResource(...)
// server.registerPrompt(...)
return server.server;
}
```
<Tip>
**Adding config schema (optional)**
Smithery allows users to customize server behavior for each session by providing API keys, adjusting settings, or modifying operational parameters. Optionally export a `configSchema` using Zod to define what configuration your server accepts:
```typescript
export const configSchema = z.object({
apiKey: z.string().describe("Weather API key"),
temperatureUnit: z.enum(["celsius", "fahrenheit"]).default("celsius").describe("Temperature unit preference"),
});
```
</Tip>
### 3. Testing the Server
```bash
npm run dev
```
This will port-forward your local server to the Smithery Playground via ngrok. You can now test your server by prompting something like "Say hello to Henry". You can also reference the [Smithery CLI](https://github.com/smithery-ai/cli) for more controls.
### 4. Deploy the Server
Deployment is a one-click process. Just [make a GitHub repo](https://github.com/new), push your local changes, and then [click "Deploy" on the Smithery home page](https://smithery.ai/new).
