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using-medusa-cloud

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by medusajs · part of medusajs/medusa-agent-skills

Manages Medusa Cloud resources through the Cloud CLI (mcloud). Use when deploying, debugging deployments, managing environments, environment variables, or any…

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🧩 One of 7 skills in the medusajs/medusa-agent-skills package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.


name: using-medusa-cloud description: Manages Medusa Cloud resources through the Cloud CLI (mcloud). Use when deploying, debugging deployments, managing environments, environment variables, or any Medusa Cloud operation. CRITICAL for mcloud commands, deployment failures, build logs, Cloud setup, and CI/CD workflows.

Managing Medusa Cloud Resources

Operational guide for AI agents managing Medusa Cloud infrastructure through the mcloud CLI. Covers setup, deployments, debugging, environments, and variables.

Constraints

  • Always pass --json when parsing CLI output. Plaintext output is for humans and may change without warning.
  • Confirm context before mutating. Run mcloud whoami --json before any state change.
  • Read before you write. Run a get or list before any delete, redeploy, or trigger-build.
  • Use --yes for destructive operations. delete commands require --yes in non-interactive mode.
  • Production environments cannot be deleted. mcloud environments delete errors on production by design.
  • Never pass --reveal unless the user explicitly asks. Secret values appear in terminal scrollback and logs.
  • --json and --follow are incompatible. Use bounded time windows (--from/--to) with --json for programmatic log ingestion.

CRITICAL: Load Reference Files When Needed

Load these references based on what you're doing:

  • Setting up the CLI? → MUST load setup.md first
  • Debugging a failed deployment? → MUST load debugging-deployments.md first
  • Managing environments or variables? → MUST load environments-and-variables.md first

Minimum requirement: Load at least one reference file before executing multi-step workflows.

Quick Reference

Authentication Check

Always verify auth and scope before mutating state:

mcloud whoami --json | jq -e '.auth.kind != "none" and .organization.id != null'

Exit code 0 = authenticated and scoped. Non-zero = stop and ask the user.

Set Context Once

mcloud use \
  --organization org_123 \
  --project proj_123 \
  --environment production

CRITICAL: mcloud use without flags is interactive and fails in CI/Docker/piped input. Always pass flags.

Deployment Status Routing

Route on backend_status (or storefront_status):

StatusMeaningLogs to check
build-failedBuild step failedmcloud deployments build-logs <id>
deployment-failedRuntime crashed after buildmcloud logs --deployment <id>
timed-outExceeded time budgetBoth: build-logs first, then runtime logs

Redeployment Decision

CommandWhen to use
mcloud environments redeploy <env>Fix is environment-side (variable change, infra) — reruns existing build
mcloud environments trigger-build <env>Fix is in source code on the tracked branch — starts new build

Common Pitfalls

  • TTY-only commands. mcloud login, mcloud use (without flags), and delete without --yes require a TTY. They fail in CI, Docker, or piped input.
  • MCLOUD_TOKEN precedence. When set, file-based credentials are ignored and mcloud login is rejected. Unset it to switch accounts.
  • Personal vs org access keys. Personal keys require --organization; org keys are pre-scoped.
  • organizations list requires personal auth. Org access keys return 401 on this command.
  • Build IDs vs deployment IDs. depl_* = deployment ID; anything else = build ID (resolved to latest deployment). mcloud logs --deployment accepts both; other commands take build IDs only.

Reference Files

setup.md                       - CLI installation, authentication, context setup
debugging-deployments.md       - Build/deployment failure recipes and log analysis
environments-and-variables.md  - Environment lifecycle and variable management