The scaffold gives you the server, TypeScript configuration, development scripts, Inspector, and a React view pipeline. Start it once and the MCP endpoint also serves a client-ready landing page with its connection URL and setup instructions.
Replace its index.ts with a view-bound tool like this:
import { MCPServer } from "mcp-use";
import { z } from "zod";
const server = new MCPServer({
name: "weather-app",
title: "Weather App",
version: "1.0.0",
});
const weatherInput = z.object({
city: z.string().describe("City to look up"),
});
const weatherOutput = z.object({
city: z.string(),
temperature: z.number(),
conditions: z.string(),
});
export const getWeather = server.tool(
{
name: "get-weather",
title: "Get weather",
description: "Get the current weather for a city",
inputSchema: weatherInput,
outputSchema: weatherOutput,
view: { name: "weather-card" },
annotations: {
readOnlyHint: true,
destructiveHint: false,
openWorldHint: true,
},
},
async ({ city }) => {
const weather = {
city,
temperature: 22,
conditions: "Sunny",
};
return {
content: [
{
type: "text",
text: `Weather in ${city}: ${weather.conditions}, ${weather.temperature}°C`,
},
],
structuredContent: weather,
};
},
);
export default server;
Build ChatGPT Plugin Extensions with interactive Views that users can open alongside their conversation. Use useModelContext to let them add content from a View to the conversation, such as a book to discuss or analytics to explore.
import { useModelContext } from "mcp-use/react";
export default function AddBook() {
const { add, pending, error } = useModelContext();
async function shareBook() {
try {
await add("selected-book", {
type: "text",
title: "The Great Gatsby",
text: "Selected book: The Great Gatsby by F. Scott Fitzgerald",
});
} catch (error) {
console.error("Could not share the book", error);
}
}
return (
<>
<button disabled={pending} onClick={shareBook}>
{pending ? "Adding…" : "Add book to chat"}
</button>
{error && <p role="alert">{error.message}</p>}
</>
);
}
Start a tunnel from the Inspector UI or run mcp-use dev --tunnel to get a public URL for your local MCP server and test it with ChatGPT and Claude before deployment. Learn more about tunneling →
Inspect the same server headlessly from the terminal, invoke representative tools, and capture a View screenshot:
npm install --save-dev @mcp-use/client
npx mcp-use client connect local http://localhost:3000/mcp
npx mcp-use client local tools list
npx mcp-use client local tools call get-weather city=Tokyo
npx mcp-use screenshot \
--server local \
--tool get-weather \
city=Tokyo \
--output weather-card.png
Deploy
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mcp-use builds on the official TypeScript SDK v2 and adds first-class Views, typed tool-to-UI contracts, an optimized stateless runtime, the Inspector, screenshot verification, agent-first CLI workflows, and deployment.
* Includes @modelcontextprotocol/ext-apps, Vite, and zod for an MCP Apps-capable stack.
Install rows compare custom React MCP App development stacks. FastMCP therefore includes the Apps extension, React, Vite React plugin, Vite, TypeScript, and zod rather than only its narrower server-side component workflow. Size is actual node_modules disk usage after a normal npm install, including required peer dependencies.
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
@mcp Use/client ต้องใช้ API key ไหม?
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
@mcp Use/client ใช้ทรานสปอร์ตแบบใด?
@mcp Use/client ทำงานแบบโลคัลผ่าน stdio
@mcp Use/client ถูกตรวจสอบล่าสุดเมื่อใด?
ตรวจสอบล่าสุดเมื่อ 2026-11-14 MCP client for connecting to Model Context Protocol servers — sessions, connectors, and OAuth. Part of the mcp-use v2 framework.