mcpdirectory.dev
9,129 servers · updated 23 Sept

Control Plane MCP server

community Active last commit 9 d
{
  "mcpServers": {
    "cpln-control-plane": {
      "type": "http",
      "url": "https://mcp.cpln.io/mcp"
    }
  }
}
file .mcp.json (in your project root)version 1.0.2

What it does

This MCP server integrates Control Plane's container deployment platform with AI assistants, allowing you to deploy, troubleshoot, and manage workloads across AWS, GCP, Azure, OCI, and other infrastructure through natural language commands. It provides domain knowledge, production guardrails, and verified CLI tools for multi-cloud workload operations.

  • Troubleshoot why a containerized workload is failing or restarting, with the assistant analyzing logs and suggesting fixes.
  • Deploy a new workload or configure networking (like adding a domain with auto-TLS) across your cloud infrastructure.
  • Migrate existing Kubernetes, Docker Compose, or Helm configurations to Control Plane and apply them to staging or production environments.

Tools this server exposes

ToolDoes
cpln_troubleshootDiagnose and resolve issues with a failing or restarting workload in Control Plane.
cpln_migrate_k8sConvert Kubernetes, Docker Compose, or Helm manifests to Control Plane configuration.
cpln_deploy_workloadCreate or update a containerized workload on Control Plane.
cpln_configure_networkingSet up routing, DNS, and TLS for workloads in Control Plane.
cpln_manage_accessGrant workloads access to cloud resources such as S3 buckets or databases.
cpln_configure_storageProvision and manage persistent volumes for stateful workloads.
cpln_list_workloadsQuery workloads, their status, and metadata within a Control Plane organization.

Before you enable it

An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.