Verda CLI

Command-line interface for Verda Cloud — manage VMs, volumes, SSH keys, startup scripts, and more from your terminal.

Both interactive and non-interactive modes — use the wizard for quick tasks, flags for scripts and automation.

Install

Quick install (macOS / Linux)

curl -sSL https://raw.githubusercontent.com/verda-cloud/verda-cli/main/scripts/install.sh | sh

Install to a custom directory:

VERDA_INSTALL_DIR=~/.local/bin curl -sSL https://raw.githubusercontent.com/verda-cloud/verda-cli/main/scripts/install.sh | sh

Homebrew (macOS / Linux)

brew install verda-cloud/tap/verda-cli

Scoop (Windows)

scoop bucket add verda https://github.com/verda-cloud/homebrew-tap
scoop install verda-cli

Linux packages (deb / rpm / apk)

Download .deb, .rpm, or .apk packages from GitHub Releases:

# Debian / Ubuntu
sudo dpkg -i verda_VERSION_linux_amd64.deb

# RHEL / Fedora
sudo rpm -i verda_VERSION_linux_amd64.rpm

# Alpine
sudo apk add --allow-untrusted verda_VERSION_linux_amd64.apk

Manual download

Download the binary for your platform from GitHub Releases:

Platform	File
macOS (Apple Silicon)	verda_VERSION_darwin_arm64.tar.gz
macOS (Intel)	verda_VERSION_darwin_amd64.tar.gz
Linux (x86_64)	verda_VERSION_linux_amd64.tar.gz
Linux (ARM64)	verda_VERSION_linux_arm64.tar.gz
Windows (x86_64)	verda_VERSION_windows_amd64.zip
Windows (ARM64)	verda_VERSION_windows_arm64.zip

tar xzf verda_*.tar.gz
sudo mv verda /usr/local/bin/

Go install

go install github.com/verda-cloud/verda-cli/cmd/verda@latest

Verify & update

verda version            # verify installation
verda update             # update to latest
verda update --version v1.0.0  # specific version

Getting Started

1. Configure credentials

verda auth login

2. Explore available resources

verda locations                        # datacenter locations
verda instance-types --gpu             # GPU instance types with pricing
verda availability --location FIN-01   # what's in stock

3. Deploy a VM

# Interactive wizard
verda vm create

# Non-interactive
verda vm create \
  --kind gpu \
  --instance-type 1V100.6V \
  --location FIN-01 \
  --os ubuntu-24.04-cuda-13.0-open-docker \
  --os-volume-size 100 \
  --hostname gpu-runner

4. Connect

verda ssh gpu-runner

AI Agent Integration (MCP) — Beta

The Verda CLI includes a built-in MCP server that lets AI agents (Claude Code, Cursor, etc.) manage your infrastructure through natural language. This feature is in beta — feedback welcome.

Setup

{
  "mcpServers": {
    "verda": {
      "command": "verda",
      "args": ["mcp", "serve"]
    }
  }
}

Add this to your agent's MCP config:

Agent	Config file
Claude Code	.mcp.json in project root
Cursor	~/.cursor/mcp.json

Usage

Once configured, just talk to your agent:

"What GPU types are available right now?"
"How much does an 8x H100 cost per hour?"
"I need a cheap GPU for testing — what's the best option?"
"Deploy a V100 GPU VM with 100GB OS volume"
"Show my running VMs and what they're costing me"
"Shut down my training VM"

Credentials are shared with the CLI — run verda auth login first.

Agent Mode

For scripts and agents that use the CLI directly (without MCP):

verda --agent vm list                  # JSON output, no prompts
verda --agent vm create ...            # structured errors for missing flags
verda --agent vm action --id X --action shutdown --yes

See Agent Error Format for the structured error specification.

Configuration

Credentials are stored in ~/.verda/credentials (INI format):

[default]
verda_base_url      = https://api.verda.com/v1
verda_client_id     = your-client-id
verda_client_secret = your-client-secret

Multiple profiles are supported — switch with verda auth use PROFILE.

Documentation

Doc	Description
Command Reference	Full list of commands, flags, and examples
Agent Error Format	Structured error specification for --agent mode

Contributing

See CLAUDE.md and AGENTS.md for development setup and coding conventions.

License

See LICENSE for details.