MCP Cloud CLI

Connect your AI tools (Claude Desktop, Cline, Cursor, etc.) to MCP Cloud.

Installation

npx @mcp-cloud/cli <your-api-key>

Configuration

Claude Desktop

Add to your claude_desktop_config.json:

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

Cline (VS Code)

Add to your cline_mcp_settings.json:

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

Using Environment Variables

You can also use environment variables instead of passing the API key as an argument:

{
  "mcpServers": {
    "mcp-cloud": {
      "command": "npx",
      "args": ["-y", "@mcp-cloud/cli"],
      "env": {
        "MCP_CLOUD_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Getting Your API Key

1. Go to mcpcloud.vercel.app
2. Sign up or log in
3. Go to Settings → API Keys
4. Create a new API key

How It Works

The CLI creates a local MCP server that:

1. Connects to MCP Cloud's remote gateway
2. Fetches your configured MCP servers and their tools
3. Exposes them locally via stdio protocol
4. Compatible with any MCP-enabled AI tool

License

MIT