cli

command module
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Published: Sep 22, 2026 License: Apache-2.0 Imports: 6 Imported by: 0

README

Metaplay CLI

Description

The metaplay command-line tool is used to manage projects using Metaplay, to build and deploy the game server into the cloud, and to interact with the cloud environments.

Metaplay CLI Build

Installation

The installation is easiest using any of the supported package managers or install scripts.

On macOS

Using Homebrew (recommended):

brew tap metaplay/homebrew-tap
brew install metaplay

Using install script:

bash <(curl -sSfL https://metaplay.github.io/cli/install.sh)
On Windows

Using Scoop (recommended):

scoop bucket add metaplay https://github.com/metaplay/scoop-bucket
scoop install metaplay

Using Chocolatey:

choco install metaplay
On Linux

Using install script:

bash <(curl -sSfL https://metaplay.github.io/cli/install.sh)
Direct Download

You can find the latest release on our Github releases page.

  • We provide 64-bit builds for Linux, macOS (both Intel and Apple Silicon), and Windows.

  • Download the correct archive for your OS and CPU architecture as indicated on the filename (e.g. MetaplayCLI_0.1.0_Linux_x86_64.tar.gz).

  • Unpack the contents into a directory that is included in your PATH environment variable, or create a new directory and add it to your PATH.

  • Now you can run the metaplay executable in your terminal and it will output further instructions. See section Usage for details.

Usage

Integrate Metaplay SDK to Your Game

You can add Metaplay SDK to your game using the integration wizard in the CLI by running:

MyProject$ metaplay init project

This will link your local project to the Metaplay Portal, donwload and extract the SDK, add the game-specific backend project, and add some samples on how to get started.

Build and Deploy Server to Cloud

You must run the steps in the same directory as your metaplay-project.yaml project config file is located.

First, build the game server docker image.

MyProject$ metaplay build image <image>:<tag>

Then, deploy the game server to an environment:

MyProject$ metaplay deploy server <environment> <image>:<tag>

The command also pushes the docker image to the environment's registry.

View Game Server Logs

To get logs from your game server running in the cloud, use the following:

metaplay debug logs ENVIRONMENT

By default, it shows time-ordered logs from all pods, but you can also only target a single pod with:

metaplay debug logs ENVIRONMENT --pod=POD_NAME

It's enough to provide only the environment ID's suffix. For example, in project lovely-wombats-build, the environment lovely-wombats-build-quickly can be targeted with just:

metaplay debug logs quickly

Alternatively, you can run the command without any parameters and the CLI will ask you the project and environment:

metaplay debug logs
Kubernetes Access

To access the Kubernetes control plane for your environment, you can do the following:

# Get the kubeconfig file for the environment.
metaplay get kubeconfig ENVIRONMENT -o <pathToKubeconfig>
# Configure kubectl to use the kubeconfig file.
export KUBECONFIG=<pathToKubeconfig>
# Check the status of your pods.
kubectl get pods

By default, the generated kubeconfig file will invoke the metaplay CLI itself to resolve the credentials used to communicate with the Kubernetes control plane.

Using in CI Jobs

For detailed instructions on how to set up your CI system, see the Setup CI Pipeline guide.

Tips & Tricks
Working Directory

It's generally easiest to run the metaplay CLI in your project directory, i.e., where metaplay-project.yaml is located. This way the CLI knows the project you're working with and can target operations to operate on that.

If you wish to run in another directory, provide the path to the project directory with -p <pathToProject>.

Troubleshooting the CLI

If you have any issues running a command, give it the --verbose flag to get more detailed output on what is happening, e.g.:

metaplay deploy server <environment> <image>:<tag> --verbose
Multiple Sessions

The CLI supports storing multiple sessions at the same time. This can be useful when working with projects that use 3rd party authentication instead of Metaplay Portal for their authentication.

The authentication provider is determined from the metaplay-project.yaml and thus any authentication operations are dependent on the project in the context of which the CLI is run.

Support & Feature Requests

If you have a paid support contract with Metaplay, you can open a ticket on the Metaplay portal's support page.

Development

If you develop the CLI or the Metaplay platform, see DEVELOPMENT.md for building and testing the CLI, for development builds and update channels, and for running it against a local or test environment.

License

This module and all files within are distributed under the Apache-2.0 license.

Documentation

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There is no documentation for this package.

Directories

Path Synopsis
internal
tui
pkg
skills
Package skills implements the loading, addressing, installation, and removal of agent "skills" — markdown documents (with YAML frontmatter) that AI coding harnesses such as Claude Code, Cursor, Codex, and others load to learn how to work with a particular SDK or codebase.
Package skills implements the loading, addressing, installation, and removal of agent "skills" — markdown documents (with YAML frontmatter) that AI coding harnesses such as Claude Code, Cursor, Codex, and others load to learn how to work with a particular SDK or codebase.

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