mcp-use
Mcp-use is the easiest way to interact with mcp servers with custom agents TypeScript-based implementation. Trusted by 8100+ developers.
Documentation
Fully Typed, native Views and MCP Apps support, built-in Inspector and first class Agent experience.
·
·
·
> [!NOTE]
> Migrating from v1? Give it to your agent:
>
> ```text
> Migrate this mcp-use project to v2 following
> https://docs.mcp-use.com/v2/typescript/server/migration
> ```
>
Get started
Start with your agent
Build an MCP server: https://mcp-use.com/prompt.mdStart with code
npx -y create-mcp-use-app@latestRun `npm run dev` in the generated project · open `http://localhost:3000/mcp/inspector`
Everything you need to ship MCP
Fully typed
Zod schemas flow from tools to structured results, View props, and tool calls.
Native Views
Bind React Views directly to tools and ship interactive apps without custom extension wiring.
Agent-first and headless
Scaffold, invoke, inspect, screenshot, and deploy through your agent.
Built-in debugging tools
Inspect tools and Views in the browser or headlessly through the CLI.
Quickstart
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:
index.ts — Server entry file for tool definition and metadata
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;Add Views to your tools
Create `views/weather-card/view.tsx`. The directory name matches `view.name` on the tool:
view.tsx — Return a view from your tools: React weather card
import { useCallTool, useToolContext } from "mcp-use/react";
export default function WeatherCard() {
const { status, toolOutput, toolInput } =
useToolContext();
const refresh = useCallTool("get-weather");
if (status === "pending") {
return Checking the weather in {toolInput?.city ?? "your city"}…;
}
if (status === "error") return Could not load the weather.;
const weather = refresh.data?.structuredContent ?? toolOutput;
return (
{weather.city}
{weather.temperature}°C · {weather.conditions}
void refresh.callTool({ city: weather.city })}
>
{refresh.isPending ? "Refreshing…" : "Refresh"}
{refresh.error && {refresh.error.message}}
);
}Build interactive UI experiences within ChatGPT with mcp-use.
Build
Create the production build:
npm run buildInspect
Start development mode to serve the MCP endpoint at `http://localhost:3000/mcp`. The Inspector is automatically available at `http://localhost:3000/mcp/inspector`:
npm run devInvoke tools, validate inputs, and inspect interactive Views in the same development loop.
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.pngDeploy
Ship to Manufact and get observability, analytics, evals, submission readiness, and Git-based preview environments for free.
npm run deployPrefer to run it yourself? Follow the self-hosting guide →.
How mcp-use compares
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.
block-beta
columns 7
metric["Metric"] mcp["mcp-use v2"] fastmcp["FastMCP TS"] official["Official SDK v2*"] xmcp["xmcp"] skybridge["Skybridge"] handler["mcp-handler"]
speed["Speed"] speedMcp["10,982 ops/s"] speedFast["6,628 ops/s"] speedOfficial["8,050 ops/s"] speedXmcp["6,585 ops/s"] speedSkybridge["8,116 ops/s"] speedHandler["6,324 ops/s"]
install["MCP Appdev stack"] installMcp["74.4 MiB"] installFast["122.5 MiB"] installOfficial["99.0 MiB"] installXmcp["121.9 MiB"] installSkybridge["137.5 MiB"] installHandler["388.0 MiB"]
packages["Installedpackages"] packagesMcp["51"] packagesFast["180"] packagesOfficial["119"] packagesXmcp["171"] packagesSkybridge["300"] packagesHandler["130"]
views["Views"] viewsMcp["✅"] viewsFast["✅"] viewsOfficial["◐ Extension"] viewsXmcp["✅"] viewsSkybridge["✅"] viewsHandler["❌"]
nativeViews["Native Viewson MCP 2026"] nativeViewsMcp["✅"] nativeViewsFast["✅"] nativeViewsOfficial["❌"] nativeViewsXmcp["❌"] nativeViewsSkybridge["❌"] nativeViewsHandler["❌"]
oauth["One-lineOAuth adapters"] oauthMcp["✅"] oauthFast["◐ Provider/proxy"] oauthOfficial["◐ Primitives"] oauthXmcp["✅"] oauthSkybridge["✅"] oauthHandler["❌"]
protocol["MCP 2026protocol"] protocolMcp["✅"] protocolFast["✅"] protocolOfficial["✅"] protocolXmcp["❌"] protocolSkybridge["❌"] protocolHandler["❌"]
screenshot["Built-in Viewscreenshot CLI"] screenshotMcp["✅"] screenshotFast["❌"] screenshotOfficial["❌"] screenshotXmcp["❌"] screenshotSkybridge["❌"] screenshotHandler["❌"]
tunnel["Built-intunneling"] tunnelMcp["✅"] tunnelFast["❌"] tunnelOfficial["❌"] tunnelXmcp["❌"] tunnelSkybridge["✅"] tunnelHandler["❌"]
inspector["Built-inInspector"] inspectorMcp["✅"] inspectorFast["✅"] inspectorOfficial["❌"] inspectorXmcp["❌"] inspectorSkybridge["◐ Limited"] inspectorHandler["❌"]
classDef metricLabel fill:#6e76811a,font-weight:bold
classDef brand fill:#2ea04333,stroke:#2da44e,stroke-width:3px,font-weight:bold
classDef header fill:#6e76811a,font-weight:bold
classDef value fill:#6e76810f,stroke-width:1px
classDef leader fill:#2ea0432e,stroke:#2da44e,stroke-width:2px,font-weight:bold
classDef partial fill:#bb80092e,stroke:#bf8700,stroke-width:2px,font-weight:bold
classDef unavailable fill:#6e76810f,opacity:0.72
class metric,speed,install,packages,views,nativeViews,oauth,protocol,screenshot,tunnel,inspector metricLabel
class mcp brand
class fastmcp,official,xmcp,skybridge,handler header
class speedFast,speedOfficial,speedXmcp,speedSkybridge,speedHandler,installFast,installOfficial,installXmcp,installSkybridge,installHandler,packagesFast,packagesOfficial,packagesXmcp,packagesSkybridge,packagesHandler value
class speedMcp,installMcp,packagesMcp,viewsMcp,viewsFast,viewsXmcp,viewsSkybridge,nativeViewsMcp,nativeViewsFast,oauthMcp,oauthXmcp,oauthSkybridge,protocolMcp,protocolFast,protocolOfficial,screenshotMcp,tunnelMcp,tunnelSkybridge,inspectorMcp,inspectorFast leader
class oauthFast,viewsOfficial,oauthOfficial,inspectorSkybridge partial
class viewsHandler,nativeViewsOfficial,nativeViewsXmcp,nativeViewsSkybridge,nativeViewsHandler,oauthHandler,protocolXmcp,protocolSkybridge,protocolHandler,screenshotFast,screenshotOfficial,screenshotXmcp,screenshotSkybridge,screenshotHandler,tunnelFast,tunnelOfficial,tunnelXmcp,tunnelHandler,inspectorOfficial,inspectorXmcp,inspectorHandler unavailable- 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.
**Read the detailed benchmark report →**
Examples
Remix a complete MCP App, inspect the source, or deploy it as a starting point:
| Preview | App | What it demonstrates |
|---|---|---|
| Chart Builder | Structured data rendered as interactive charts · Open demo | |
| Diagram Builder | Create and edit diagrams through MCP tools · Open demo | |
| Maps Explorer | Search, detail tools, and an interactive map view · Open demo |
Browse all TypeScript examples →
Ecosystem
| Package | Use it for |
|---|---|
| `mcp-use` | TypeScript v2 server framework, React views, and CLI |
| `@mcp-use/client` | Connect to MCP servers from Node.js, browsers, React, and sandboxes |
| `@mcp-use/agent` | Build model-powered agents on top of MCP clients |
| `@mcp-use/inspector` | Inspect and debug MCP servers and apps |
| `@mcp-use/tunnel` | Expose local HTTP, WebSocket, and MCP servers through the managed relay |
| `create-mcp-use-app` | Scaffold servers and interactive apps |
| `mcp-use` for Python | Build Python MCP servers, clients, and agents |
- TypeScript documentation
- Python documentation
- Inspector documentation
- Agent documentation
- Client documentation
Protocol conformance
Security and community
Contributors
Frequently asked questions
What is mcp-use?
mcp-use is Mcp-use is the easiest way to interact with mcp servers with custom agents TypeScript-based implementation. Trusted by 8100+ developers.
How do I install mcp-use?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-use open source?
Yes — it is hosted on GitHub at https://github.com/mcp-use/mcp-use and has 8,149 stars.
Related MCP tools
🐬DeepChat - A smart assistant that connects powerful AI to your personal world for the Model Context Protocol. Enhance AI assistants with powerful integrations
Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling for the Model Context Protocol. Enhance AI assistants with powerf
Build effective agents using Model Context Protocol and simple workflow patterns Python-based implementation. Trusted by 7600+ developers.
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project TypeScript-based implementation.
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model co...
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama. Built for the Model Context Protocol to enh
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP