Universal MCP Installer

by matthewdcage

Universal MCP server installer for Claude Desktop, VS Code, Cursor, OpenClaw, NemoClaw, and ChatGPT across macOS, Linux, and Windows. Supports installing and configuring MCP servers across multiple AI clients with one command.

Developer toolsstdio or Streamable HTTPCommunity

Repository-wide counts · Cached 2026-04-11

Overview

The Universal MCP Installer MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Universal MCP Installer repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

View the complete category

模型上下文协议服务器

modelcontextprotocol

Community

一组用于模型上下文协议(MCP)的参考实现,展示了对大型语言模型(LLM)工具和数据源的安全且受控的访问方式。

Context7 Platform - Up-to-date Code Docs For Any Prompt

upstash

Community

Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.

Playwright MCP

Microsoft Corporation

Community

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

AIHawk

feder-cr

Community

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

View original

             _   _ _   _ _____     _______ ____  ____    _    _     
            | | | | \ | |_ _\ \   / / ____|  _ \/ ___|  / \  | |    
            | | | |  \| || | \ \ / /|  _| | |_) \___ \ / _ \ | |    
            | |_| | |\  || |  \ V / | |___|  _ < ___) / ___ \| |___ 
             \___/|_| \_|___|  \_/  |_____|_| \_\____/_/   \_\_____|
                                                          
      __  __  ____ ____    ___ _   _ ____ _____  _    _     _     _____ ____  
     |  \/  |/ ___|  _ \  |_ _| \ | / ___|_   _|/ \  | |   | |   | ____|  _ \ 
     | |\/| | |   | |_) |  | ||  \| \___ \ | | / _ \ | |   | |   |  _| | |_) |
     | |  | | |___|  __/   | || |\  |___) || |/ ___ \| |___| |___| |___|  _ < 
     |_|  |_|\____|_|     |___|_| \_|____/ |_/_/   \_\_____|_____|_____|_| \_\

Install and configure MCP servers across all major AI clients with one command.

License: MIT npm version MCP Compatible npm downloads

LinkedIn

🚀 NEW: Universal MCP Installer v1.0.0 — Complete rewrite of cursor-mcp-installer. Now supports 6 AI clients (Claude Desktop, Cursor, VS Code, OpenClaw, Claude Code, ChatGPT), cross-platform (macOS, Windows, Linux), real MCP handshake validation, and a branded web dashboard. Upgraded to MCP SDK 1.29.0.

🖥️ Web Dashboard Available! Launch with npx universal-mcp-installer --ui to manage everything from a visual interface. See Using the Dashboard below.

Universal MCP Installer Dashboard

Quick Start Guide

Step 1: Install an MCP Server (One Command)

npx universal-mcp-installer install @modelcontextprotocol/server-memory

That's it. The installer detects which AI clients you have installed and writes the correct config for each one.

Step 2: Or Add as an MCP Tool (Let Your AI Install Other MCP Servers)

Add this to your AI client's MCP configuration:

Cursor (~/.cursor/mcp.json)
{
  "mcpServers": {
    "MCP Installer": {
      "command": "npx",
      "type": "stdio",
      "args": ["-y", "universal-mcp-installer"]
    }
  }
}
Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "MCP Installer": {
      "command": "npx",
      "args": ["-y", "universal-mcp-installer"]
    }
  }
}
VS Code (.vscode/mcp.json)
{
  "servers": {
    "mcpInstaller": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "universal-mcp-installer"]
    }
  }
}

Step 3: Restart Your AI Client

Close and reopen your AI client to apply the configuration changes.

Step 4: Ask Your AI to Install Servers

Install the filesystem MCP server

or

Install the web search MCP server

The installer exposes three tools your AI can call:

Tool Description
detect_system Returns OS, architecture, available runtimes, and detected AI clients
install_mcp_server Installs a server by package name, git URL, or local path to selected clients
validate_mcp_server Validates a server via MCP handshake and returns the result

Using the Dashboard

Launch the visual interface:

npx universal-mcp-installer --ui

This opens web interface in your browser at http://localhost:3939:

Universal MCP Installer Dashboard

1. System Panel — The top section automatically detects your OS and all available runtimes (Node, npm, uvx, Python, git) so you can see at a glance what's available on your machine.

2. AI Clients — Each detected client gets a card showing its name, config file path, and how many MCP servers are already configured. Use the toggle switch on each card to include or exclude it from the next installation. Uninstalled clients appear dimmed.

3. Install — Type a package name (npm package, git URL, or local path), pick a method from the dropdown (Auto / npm / uvx / git / local), and hit the green Install button. The installer resolves the package, writes config to every toggled client, and validates via MCP handshake.

4. Progress & Results — A real-time timeline shows each step (resolving, writing config, validating) with live status updates via WebSocket. Once complete, a health report grid shows pass/fail per client with tool counts, latency, and recovery hints for any failures.

Supported Clients

Client Config Key Platforms
Claude Desktop mcpServers macOS, Windows, Linux
Cursor mcpServers macOS, Windows, Linux
VS Code (Copilot) servers All (workspace-level)
OpenClaw / NemoClaw mcp.servers macOS, Linux
Claude Code mcpServers macOS, Windows, Linux
ChatGPT Desktop HTTP Bridge All (via local HTTP proxy)

Where Are the Config Files?

Client macOS Windows Linux
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json ~/.config/Claude/claude_desktop_config.json
Cursor ~/.cursor/mcp.json %USERPROFILE%\.cursor\mcp.json ~/.cursor/mcp.json
VS Code .vscode/mcp.json (workspace) .vscode/mcp.json (workspace) .vscode/mcp.json (workspace)
OpenClaw ~/.openclaw/openclaw.json - ~/.openclaw/openclaw.json
Claude Code .mcp.json (project root) .mcp.json (project root) .mcp.json (project root)

Features

  • Auto-detection of installed AI clients and their config paths
  • Runtime detection for Node.js, npm, npx, uvx, Python, and git
  • Multiple install methods: npm, uvx, git clone, local path
  • Config safety: backs up existing configs, atomic writes, never clobbers unrelated keys
  • Real MCP handshake validation: spawns the server, sends initialize/initialized, calls tools/list
  • Health reports: structured pass/fail per client with tool count, latency, and recovery hints
  • Known-issue recovery: 13+ error codes with actionable fix suggestions
  • Cross-platform: Windows cmd /c npx wrapping, Linux XDG paths, macOS launchd support
  • Service templates: generate launchd (macOS), systemd (Linux), or Task Scheduler (Windows) configs
  • Web dashboard: branded React UI with real-time WebSocket progress updates

Prerequisites

  • Node.js v18 or later
  • At least one supported AI client installed

Optional:

  • uv/uvx for Python MCP servers
  • git for installing from repositories

CLI Reference

# Detect your system, runtimes, and installed AI clients
npx universal-mcp-installer detect

# Install an MCP server to all detected clients
npx universal-mcp-installer install @modelcontextprotocol/server-memory

# Install to specific clients only
npx universal-mcp-installer install my-server --clients cursor,claude-desktop

# Install with environment variables
npx universal-mcp-installer install my-server --env API_KEY=sk-123

# Install from a git repository
npx universal-mcp-installer install https://github.com/user/mcp-server.git

# Install from a local directory
npx universal-mcp-installer install ./my-local-server --method local

# Validate an MCP server by running the handshake
npx universal-mcp-installer validate npx -y @modelcontextprotocol/server-memory

# Launch the web dashboard
npx universal-mcp-installer --ui

CLI Options

Option Description
--clients <ids> Comma-separated client IDs: cursor, claude-desktop, vscode, openclaw, claude-code, chatgpt
--method <method> Install method: auto, npm, uvx, git, local
--env KEY=value Environment variable (repeatable)
--args <arg> Server argument (repeatable)
--no-validate Skip MCP handshake validation after install
--port <number> Dashboard port (default: 3939)

API Endpoints (Dashboard Mode)

When running with --ui, a local API is available:

Endpoint Method Description
/api/system GET System info, runtimes, detected clients
/api/clients GET Client detection details
/api/install POST Trigger installation
/api/validate POST Trigger MCP handshake validation
/ws WebSocket Real-time progress events

Development

# Clone and install
git clone https://github.com/matthewdcage/cursor-mcp-installer.git
cd cursor-mcp-installer
npm install

# Build the server
npm run build

# Build the dashboard
cd dashboard && npm install && npm run build && cd ..

# Run tests (real MCP handshake, no mocks)
npm test

# Watch mode
npm run dev

Project Structure

src/
  index.ts               MCP server entry (stdio)
  cli.ts                 CLI entry (npx)
  detect/                OS, runtime, client detection
  clients/               Config writers per AI client
  install/               Package resolution (npm, uvx, git, local)
  validate/              MCP handshake + health reports
  api/                   HTTP/WebSocket API for dashboard
  utils/                 Config I/O, logging, errors, platform utils
dashboard/               React + Vite + Tailwind web UI
tests/                   Unit, integration, E2E tests
docs/                    Localized official MCP docs

Changelog

v1.0.0 (Universal Rewrite)

  • Complete rewrite from cursor-mcp-installer (v0.1.3) to universal-mcp-installer
  • Upgraded MCP SDK from ^1.0.1 to ^1.29.0 (28 minor versions)
  • Added support for 6 AI clients (was Cursor-only)
  • Added real MCP handshake validation (was none)
  • Added cross-platform support with platform-specific config paths
  • Added CLI with detect, install, validate commands
  • Added web dashboard with React + Tailwind + WebSocket
  • Added 50+ real tests (was echo "No tests specified")
  • Added known-issue error recovery database
  • Added service template generation (launchd, systemd, Task Scheduler)
  • Replaced rimraf/spawn-rx with Node built-ins
  • Fixed: require.resolve in ESM context
  • Fixed: console.error/console.warn corrupting stdio JSON-RPC stream
  • Full TypeScript source (was compiled JS-only artifact)

License

MIT