cua-cli

Unified command-line interface for CUA (Computer-Use Agents).

Installation

pip install cua-cli

Usage

# Authentication
cua auth login              # Authenticate via browser
cua auth login --api-key    # Authenticate with API key
cua auth list               # List authenticated workspaces
cua auth status             # Show auth status and credits
cua auth logout             # Remove active workspace credentials
cua auth logout --workspace <slug>  # Remove specific workspace
cua auth logout --all       # Remove all credentials
cua auth env                # Export API key to .env file

# Workspace Management
cua ws set <slug>           # Switch active workspace
cua ws set                  # Interactive workspace picker

# Sandbox Management
cua sb list                 # List all sandboxes
cua sb create --os linux --size medium --region north-america
cua sb get <name>           # Get sandbox details
cua sb start <name>         # Start a stopped sandbox
cua sb stop <name>          # Stop a running sandbox
cua sb restart <name>       # Restart a sandbox
cua sb suspend <name>       # Suspend a sandbox
cua sb delete <name>        # Delete a sandbox
cua sb vnc <name>           # Open sandbox in browser

# Image Management
cua image list              # List cloud images
cua image list --local      # List local images
cua image push <name>       # Upload image to cloud
cua image pull <name>       # Download image from cloud
cua image delete <name>     # Delete cloud image

# Skills Management
cua skills list             # List recorded skills
cua skills read <name>      # Read a skill's content
cua skills record <name>    # Record a new skill
cua skills replay <name>    # Replay a skill
cua skills delete <name>    # Delete a skill
cua skills clean            # Delete all skills

# MCP Server (for AI assistants)
cua serve-mcp               # Start MCP server with all permissions
cua serve-mcp --permissions sandbox:all,computer:readonly

Installation Options

# Basic installation
pip install cua-cli

# With MCP server support
pip install cua-cli[mcp]

# With skills recording (VLM captioning)
pip install cua-cli[skills]

# Full installation
pip install cua-cli[all]

MCP Integration

To use CUA with Claude Code or other MCP-compatible AI assistants:

# Add CUA as an MCP server
claude mcp add cua -- cua serve-mcp

# With specific permissions
claude mcp add cua -- cua serve-mcp --permissions sandbox:all,computer:readonly

# With a default sandbox
claude mcp add cua -- cua serve-mcp --sandbox my-sandbox

Available Permissions

• all - All permissions
• sandbox:all - Full sandbox management
• sandbox:readonly - List and get sandboxes only
• computer:all - Full computer control
• computer:readonly - Screenshots only
• skills:all - Full skills management
• skills:readonly - List and read skills only

Individual permissions: sandbox:list, sandbox:create, sandbox:delete, sandbox:start, sandbox:stop, sandbox:restart, sandbox:suspend, sandbox:get, sandbox:vnc, computer:screenshot, computer:click, computer:type, computer:key, computer:scroll, computer:drag, computer:hotkey, computer:clipboard, computer:file, computer:shell, computer:window, skills:list, skills:read, skills:record, skills:delete

Environment Variables

• CUA_API_KEY: API key for authentication
• CUA_API_BASE: API base URL (default: https://api.cua.ai)
• CUA_WEBSITE_URL: Website URL for OAuth (default: https://cua.ai)
• CUA_MCP_PERMISSIONS: Default MCP permissions (comma-separated)
• CUA_SANDBOX: Default sandbox name for computer commands