> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mcp-use.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Welcome
> Build MCP servers, apps, clients, and agents with mcp-use for TypeScript.
For the complete documentation index, see
[llms.txt](https://mcp-use.com/docs/llms.txt).
**mcp-use** is the full-stack MCP framework for TypeScript. Build MCP servers,
MCP Apps that render interactive Views in ChatGPT and Claude, MCP clients, and
tool-calling agents with end-to-end type safety.
## Get started
Scaffold an mcp-use app with the release of `create-mcp-use-app`:
```bash theme={null}
npx create-mcp-use-app@beta my-mcp-app
```
### Build a server and View
```typescript index.ts theme={null}
import { MCPServer } from "mcp-use";
import { z } from "zod";
const server = new MCPServer({
name: "greeter",
version: "1.0.0",
});
export const greet = server.tool(
{
name: "greet",
description: "Greet someone by name",
inputSchema: z.object({
name: z.string().describe("Name of the person to greet"),
}),
outputSchema: z.object({
greeting: z.string(),
}),
view: { name: "greeting" },
},
async ({ name }) => {
const data = { greeting: `Hello, ${name}!` };
return {
content: [{ type: "text", text: data.greeting }],
structuredContent: data,
};
},
);
export default server;
```
```tsx views/greeting/view.tsx theme={null}
import { useToolContext } from "mcp-use/react";
export default function Greeting() {
const view = useToolContext<"greet">();
if (view.status === "pending") return Loading…
;
if (view.status === "error") return {view.error.message}
;
return đź‘‹ {view.toolOutput.greeting}
;
}
```
The default server export lets `mcp-use dev`, `mcp-use build`, and
`mcp-use start` manage the server lifecycle. The View directory name must match
the tool's `view.name`.
}>
Looking for the **Python** docs? Start with the [Python quickstart](/python/getting-started/quickstart).
Learn how MCP clients, servers, agents, tools, resources, and prompts fit
together.
## Choose your next step
Scaffold an MCP App, run it locally, and test its View.
Define tools, resources, prompts, authentication, and deployment.
Build interactive Views for ChatGPT, Claude, and other MCP hosts.
Connect to MCP servers programmatically.
Build agents that call tools through MCP connections.
**Need help?** Join our [Discord](https://discord.gg/XkNkSkMz3V) or visit
[GitHub](https://github.com/mcp-use/mcp-use).