AI Compare
​
​
ToolsArticlesServices
Best for
    All tools

    Sales

    AI tools for finding leads, qualifying them, preparing quotes, following up and keeping the CRM up to date.

    Marketing

    AI tools for content, social media, images, video, SEO and campaigns.

    Customer service

    AI tools for answering customer emails, chats and calls, handling requests and escalating the hard cases.

    Operations

    AI tools for running the daily work: workflows, scheduling, projects, purchasing and delivery.

    Finance

    AI tools for invoices, bookkeeping, reconciliation, spreadsheets and financial reporting.

    Management & Admin

    AI tools for owners, managers and office staff: planning, reports, documents, meetings, scheduling and everyday admin.

    HR

    AI tools for hiring, screening candidates, onboarding, training and answering employee questions.

    Legal & Compliance

    AI tools for reviewing contracts, tracking deadlines and preparing compliance work for a qualified person to check.

    IT & Development

    AI tools for developers and IT teams: coding, AI models, agents, infrastructure and integrations.

Find AI tools for your team
AllAssistantsWriting & DocsImagesVideoAudioAI AgentsAutomationCode
← Back to tools

•

2025-03-28

mcp-use logo

mcp-use

Not rated yet

10.4K GitHub stars

Type:

Tool

Platforms:

Github

Task:

Connect AI to apps

Best for:

IT & Development
Visit websiteView on GitHub

Pricing


Starting price

$0

Type

Freemium

Overview

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.

The TypeScript framework for MCP Build, test, and ship MCP servers, ChatGPT plugins, Claude connectors.

README

mcp-use

    The TypeScript framework for MCP

    Build, test, and ship MCP servers, ChatGPT plugins, Claude connectors

Fully Typed, native Views and MCP Apps support, built-in Inspector and first class Agent experience.

Documentation · Inspector · Examples · Deploy

npm version npm downloads made by manufact.com MIT license Discord



[!NOTE] Migrating from v1? Give it to your agent:

Migrate this mcp-use project to v2 following
https://docs.mcp-use.com/v2/typescript/server/migration

Read the migration guide →

Get started

Start with your agent

Build an MCP server: https://mcp-use.com/prompt.md

Read the prompt →

Start with code

npx -y create-mcp-use-app@latest

Run npm run dev in the generated project · open http://localhost:3000/mcp/inspector

TS Docs

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;

Explore MCP server tools →

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<"get-weather">();
  const refresh = useCallTool("get-weather");

  if (status === "pending") {
    return <p>Checking the weather in {toolInput?.city ?? "your city"}…</p>;
  }
  if (status === "error") return <p>Could not load the weather.</p>;

  const weather = refresh.data?.structuredContent ?? toolOutput;

  return (
    <main style={{ padding: 24 }}>
      <h2>{weather.city}</h2>
      <p>
        {weather.temperature}°C · {weather.conditions}
      </p>
      <button
        disabled={refresh.isPending}
        onClick={() => void refresh.callTool({ city: weather.city })}
      >
        {refresh.isPending ? "Refreshing…" : "Refresh"}
      </button>
      {refresh.error && <p>{refresh.error.message}</p>}
    </main>
  );
}

Hello World MCP App rendered in a ChatGPT conversation
Build interactive UI experiences within ChatGPT with mcp-use.

Build your first MCP App →

Build

Create the production build:

npm run build

Inspect

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 dev

Hello World MCP App rendered in the mcp-use Inspector
Invoke 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.png

Deploy

Ship to Manufact and get observability, analytics, evals, submission readiness, and Git-based preview environments for free.

npm run deploy

Prefer 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 App<br/>dev 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["Installed<br/>packages"] packagesMcp["51"] packagesFast["180"] packagesOfficial["119"] packagesXmcp["171"] packagesSkybridge["300"] packagesHandler["130"]
  views["Views"] viewsMcp["✅"] viewsFast["✅"] viewsOfficial["◐ Extension"] viewsXmcp["✅"] viewsSkybridge["✅"] viewsHandler["❌"]
  nativeViews["Native Views<br/>on MCP 2026"] nativeViewsMcp["✅"] nativeViewsFast["✅"] nativeViewsOfficial["❌"] nativeViewsXmcp["❌"] nativeViewsSkybridge["❌"] nativeViewsHandler["❌"]
  oauth["One-line<br/>OAuth adapters"] oauthMcp["✅"] oauthFast["◐ Provider/proxy"] oauthOfficial["◐ Primitives"] oauthXmcp["✅"] oauthSkybridge["✅"] oauthHandler["❌"]
  protocol["MCP 2026<br/>protocol"] protocolMcp["✅"] protocolFast["✅"] protocolOfficial["✅"] protocolXmcp["❌"] protocolSkybridge["❌"] protocolHandler["❌"]
  screenshot["Built-in View<br/>screenshot CLI"] screenshotMcp["✅"] screenshotFast["❌"] screenshotOfficial["❌"] screenshotXmcp["❌"] screenshotSkybridge["❌"] screenshotHandler["❌"]
  tunnel["Built-in<br/>tunneling"] tunnelMcp["✅"] tunnelFast["❌"] tunnelOfficial["❌"] tunnelXmcp["❌"] tunnelSkybridge["✅"] tunnelHandler["❌"]
  inspector["Built-in<br/>Inspector"] 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:

PreviewAppWhat it demonstrates
Chart Builder demoChart BuilderStructured data rendered as interactive charts · Open demo
Diagram Builder demoDiagram BuilderCreate and edit diagrams through MCP tools · Open demo
Maps Explorer demoMaps ExplorerSearch, detail tools, and an interactive map view · Open demo

Browse all TypeScript examples →

Ecosystem

PackageUse it for
mcp-useTypeScript v2 server framework, React views, and CLI
@mcp-use/clientConnect to MCP servers from Node.js, browsers, React, and sandboxes
@mcp-use/agentBuild model-powered agents on top of MCP clients
@mcp-use/inspectorInspect and debug MCP servers and apps
@mcp-use/tunnelExpose local HTTP, WebSocket, and MCP servers through the managed relay
create-mcp-use-appScaffold servers and interactive apps
mcp-use for PythonBuild Python MCP servers, clients, and agents
  • TypeScript documentation
  • Python documentation
  • Inspector documentation
  • Agent documentation
  • Client documentation

Protocol conformance

Python MCP conformance Python MCP client conformance TypeScript MCP conformance TypeScript MCP client conformance

Security and community

  • Security policy
  • Contribution guide
  • GitHub issues
  • Discord community
  • Manufact
  • MIT license

Contributors

Built by Pietro, Luigi, Enrico, and the mcp-use community.

mcp-use contributors

Releases

Release information has not been added yet.

Complete your AI stack

Add complementary AI tools for the rest of your workflow.

More recommendations will appear here as matching tools are published.

Best alternatives

Compare similar tools in the same category.

CodeRabbit logo

CodeRabbit

AI-powered code review assistant for pull requests.

OpenClaw logo

OpenClaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Cursor logo

Cursor

AI coding editor and autonomous software development platform

DeepSeek logo

DeepSeek

AI assistant for reasoning, coding, research, and agent tasks

ECC logo

ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

View all in this category
Help
Pick an answer below
Hi! I can point you to the right tool or guide. What are you looking for?
Browse all articles