Control Plane
Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.
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Overview
Run containerized workloads across AWS, GCP, Azure, OCI, and your own hardware under one API. It loads Control Plane's domain knowledge, production guardrails, and live MCP tools into Claude Code, Codex, and Antigravity CLI so your assistant can deploy, troubleshoot, secure, and migrate workloads with verified cpln commands. Update with /plugin marketplace update controlplane then /reload-plugins (third-party marketplaces don't auto-update unless you enable it in /plugin → Marketplaces). Alternatively, install from Anthropic's community plugin marketplace, where every listing has passed Anthropic's review:
Installation
/plugin marketplace add https://github.com/controlplane-com/ai-plugin.git
Configuration
{
"mcpServers": {
"cpln": {
"type": "http",
"url": "https://mcp.cpln.io/mcp?toolsets=full"
}
}Capabilities
- Troubleshoot a workload
ask the assistant to diagnose why a workload keeps restarting using the guided troubleshooting agent.
- Deploy a workload from Kubernetes manifests
convert a `kustomization.yaml` or Helm chart to Control Plane and apply it with the migration agent.
- Provision managed stateful services
request a production Postgres with HA failover and S3 backups through the stateful storage skill.
- Configure networking and TLS
put a custom domain with auto-TLS in front of a workload using the networking skill.
- Set up cloud-credential-free access
grant a workload access to an S3 bucket without IAM keys via the access-control skill.
Tags
- cloud-infrastructure
- devops
- aws
- azure
- google-cloud
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