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MCP Use

v3.2.0•Developer Tools•stable

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

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What is MCP Use?

MCP Use is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to fullstack mcp framework to develop mcp apps for chatgpt / claude & mcp servers for ai agents.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • The fullstack MCP framework to develop MCP Apps for ChatGPT

Use Cases

MCP framework
MCP app SDK
Integration platform
mcp-use

Maintainer

LicenseMIT
Languagetypescript
Versionv3.2.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

NPM

npx -y @mcp-use/cli

Manual Installation

npx -y @mcp-use/cli

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP Use

MCP Use is a fullstack framework for building MCP applications that work with Claude, ChatGPT, and other AI clients, as well as for developing and deploying MCP servers for AI agents. It provides an app SDK, a CLI for scaffolding and deploying MCP apps, and an integrated Inspector for testing and debugging servers. Developers use it to quickly publish interactive MCP apps (charts, maps, UI widgets, custom tools) or to build and iterate on MCP servers with built-in observability, branch management, and multi-client distribution.

Prerequisites

  • Node.js 18+ and npm installed
  • An MCP-compatible AI client (Claude Desktop, ChatGPT, Cursor, etc.)
  • An mcp-use account for app deployment (created via the CLI login command)
  • Python 3.10+ if using the Python SDK path
1

Scaffold a new MCP app

Use the create command to bootstrap a new MCP application with the recommended project structure.

npx create-mcp-use-app@latest
2

Install the CLI globally

Install the mcp-use CLI to access login, deploy, and management commands from any directory.

npm install -g @mcp-use/cli
3

Log in to your mcp-use account

Authenticate the CLI with your mcp-use account. This is required for deploying apps to the cloud.

npx @mcp-use/cli login
4

Install the SDK in your project

Add the mcp-use SDK to your existing Node.js or Python project to start building MCP tools and resources.

# Node.js
npm install mcp-use

# Python
pip install mcp-use
5

Deploy your MCP app

Deploy your application to the mcp-use cloud. The CLI handles packaging, uploading, and making the app available to AI clients.

npx @mcp-use/cli deploy
6

Add the deployed server to your AI client

Once deployed, add your MCP server to your Claude Desktop or other AI client config. The URL is provided after a successful deploy.

{
  "mcpServers": {
    "my-mcp-app": {
      "command": "npx",
      "args": ["-y", "@mcp-use/cli"]
    }
  }
}

MCP Use Examples

Client configuration

Claude Desktop config block for running the mcp-use CLI as an MCP server.

{
  "mcpServers": {
    "mcp-use": {
      "command": "npx",
      "args": ["-y", "@mcp-use/cli"]
    }
  }
}

Prompts to try

Use these prompts in Claude Desktop or ChatGPT after connecting an mcp-use powered server.

- "Show me the current weather in Tokyo"
- "Create a bar chart of monthly sales data: Jan 100, Feb 150, Mar 120"
- "Show me a map of coffee shops near Times Square"
- "Search for pasta recipes with fewer than 30 minutes prep time"
- "Create a slide deck outline for a product launch presentation"

Troubleshooting MCP Use

npx @mcp-use/cli login fails with network errors

Check your internet connection and ensure corporate firewalls are not blocking npm registry access. Try setting the npm registry explicitly: npm config set registry https://registry.npmjs.org/

Deployed app not appearing in AI client

Restart your AI client after updating the config file. For Claude Desktop, fully quit and reopen the app. Verify the config file is valid JSON using a linter, as a single trailing comma will prevent loading.

Python SDK tools not discovered by the MCP client

Ensure your Python MCP server is started with the correct transport: server.run(transport='streamable-http', port=8000). The Inspector at http://localhost:PORT/inspector can help verify tool registration.

Frequently Asked Questions about MCP Use

What is MCP Use?

MCP Use is a Model Context Protocol (MCP) server that fullstack mcp framework to develop mcp apps for chatgpt / claude & mcp servers for ai agents. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Use?

Install via npm with the command: npx -y @mcp-use/cli. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with MCP Use?

MCP Use works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Use free to use?

Yes, MCP Use is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "mcp-use": { "command": "npx", "args": ["-y", "@mcp-use/cli"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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