runtime/apps/cli/mcp

Runtime MCP (Model Context Protocol) Server

Runtime MCP Server allows AI agents to utilize:

• Hanzo Runtime Sandbox Management (Create, Destroy)
• Execute commands in Hanzo Runtime Sandboxes
• File Operations in Runtime sandboxes
• Generate preview links for web applications running in Hanzo Runtime Sandboxes

Prerequisites

• Runtime account
• Runtime CLI installed
• A compatible AI agent (Claude Desktop App, Claude Code, Cursor, Windsurf)

Steps to Integrate Runtime MCP Server with an AI Agent

1. Install the Runtime CLI:

Mac/Linux

brew install hanzoai/cli/runtime

Windows

powershell -Command "irm https://get.hanzo.ai/windows | iex"

2. Log in to your Runtime account:

runtime login

3. Initialize the Runtime MCP server with Claude Desktop/Claude Code/Cursor/Windsurf:

runtime mcp init [claude/cursor/windsurf]

4. Open Agent App

Integrating with Other AI Agents Apps

Run the following command to get a JSON Runtime MCP configuration which you can c/p to your agent configuration:

runtime mcp config

Command outputs the following:

{
  "mcpServers": {
    "runtime-mcp": {
      "command": "runtime",
      "args": ["mcp", "start"],
      "env": {
        "HOME": "${HOME}",
        "PATH": "${HOME}:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/homebrew/bin"
      },
      "logFile": "${HOME}/Library/Logs/runtime/runtime-mcp-server.log"
    }
  }
}

Note: if you are running Runtime MCP Server on Windows OS, add the following to the env field of the configuration:

"APPDATA": "${APPDATA}"

Finally, open or restart your AI agent

Available Tools

Sandbox Management

• create_sandbox: Create a new sandbox with Runtime

  • Parameters:
    • id (optional): Sandbox ID - if provided, an existing sandbox will be used, new one will be created otherwise
    • target (default: "us"): Target region of the sandbox
    • image: Image of the sandbox (optional)
    • auto_stop_interval (default: "15"): Auto-stop interval in minutes (0 means disabled)
    • auto_archive_interval (default: "10080"): Auto-archive interval in minutes (0 means the maximum interval will be used)
    • auto_delete_interval (default: "-1"): Auto-delete interval in minutes (negative value means disabled, 0 means delete immediately upon stopping)

• destroy_sandbox: Destroy a sandbox with Runtime

File Operations

• upload_file: Upload a file to the Runtime sandbox

  • Files can be text or base64-encoded binary content
  • Creates necessary parent directories automatically
  • Files persist during the session and have appropriate permissions
  • Supports overwrite controls and maintains original files formats
  • Parameters:
    • id (optional): Sandbox ID
    • file_path: Path to the file to upload
    • content: Content of the file to upload
    • encoding: Encoding of the file to upload
    • overwrite: Overwrite the file if it already exists

• download_file: Download a file from the Runtime sandbox

  • Returns file content as text or base64 encoded image
  • Handles special cases like matplotlib plots stored as JSON
  • Parameters:
    • id (optional): Sandbox ID
    • file_path: Path to the file to download

• create_folder: Create a new folder in the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • folder_path: Path to the folder to create
    • mode: Mode of the folder to create (defaults to 0755)

• get_file_info: Get information about a file in the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • file_path: Path to the file to get information about

• list_files: List files in a directory in the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • path: Path to the directory to list files from (defaults to current directory)

• move_file: Move or rename a file in the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • source_path: Source path of the file to move
    • dest_path: Destination path where to move the file

• delete_file: Delete a file or directory in the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • file_path: Path to the file or directory to delete

Git Operations

• git_clone: Clone a Git repository into the Runtime sandbox

  • Parameters:
    • id (optional): Sandbox ID
    • url: URL of the Git repository to clone
    • path: Directory to clone the repository into (defaults to current directory)
    • branch: Branch to clone
    • commit_id: Commit ID to clone
    • username: Username to clone the repository with
    • password: Password to clone the repository with

Command Execution

• execute_command: Execute shell commands in the ephemeral Runtime Linux environment

  • Returns full stdout and stderr output with exit codes
  • Commands have sandbox user permissions
  • Parameters:
    • id (optional): Sandbox ID
    • command: Command to execute

Preview

• preview_link: Generate accessible preview URLs for web applications running in the Runtime sandbox

  • Creates a secure tunnel to expose local ports externally without configuration
  • Validates if a server is actually running on the specified port
  • Provides diagnostic information for troubleshooting
  • Supports custom descriptions and metadata for better organization of multiple services
  • Parameters:
    • id (optional): Sandbox ID
    • port: Port to expose
    • description: Description of the service
    • check_server: Check if a server is running

Troubleshooting

• Authentication issues: Run runtime login to refresh your credentials
• Connection errors: Ensure that the Runtime MCP Server is properly configured
• Sandbox errors: Check sandbox status with runtime sandbox list

Support

For more information, visit hanzo.ai or contact support at [email protected].