Control Plane

by Control Plane

SSE
352 downloads
Not rated
GitHub Website SSE

About

Deploy and operate workloads, secrets, and networking across AWS, GCP, Azure, and private clouds.

Details

Author
Control Plane
Downloads
352
Transport
SSE
Categories
Cloud Service, Infrastructure, Other

- Deploy and operate serverless, standard, cron, stateful, and VM workloads.
- Create and reference secrets for AWS, GCP, Azure, Docker, ECR, and more.
- Grant workloads credential-free cloud access via identity and policy.
- Map custom domains with automatic TLS; configure firewalls, CORS, CDN, and rate limiting.
- Provision volume sets, snapshots, and HA databases for stateful workloads.
- Query logs, metrics, traces, audit events; exec into running replicas.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Control Plane
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

{
  "mcpServers": {
    "control-plane": {
      "type": "http",
      "url": "https://mcp.cpln.io/mcp"
    }
  }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "control plane": {
            "control-plane": {
                "type": "http",
                "url": "https://mcp.cpln.io/mcp"
            }
        }
    }
}

McpServers

{
    "control-plane": {
        "type": "http",
        "url": "https://mcp.cpln.io/mcp"
    }
}

Control Plane is a platform for running cloud-native workloads across multiple clouds and regions from a single control plane. Its remote MCP server lets assistants inspect and manage workloads, GVCs, and related infrastructure resources in a Control Plane organization directly from conversation.

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