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PopNx MCPMCP servers for people who use AI · explained in plain words

Control Plane

by controlplane-comversion 1.0.2i★ –iRuns in the cloud
Registry nameio.cpln/control-plane

Install

Overview

Description from the maker (original English)

Control Plane (controlplane.com): deploy and operate workloads across AWS, GCP, Azure, and more.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.cpln.io/mcp

Run this in your terminal

claude mcp add --transport http control-plane https://mcp.cpln.io/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.cpln.io/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ! Caution

    Maker matches the repo

    The publisher (cpln.io) is not the repo owner (controlplane-com); someone else may have listed it

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Developer toolsi

  • More stars than 0% of the other 1389 servers in this category
  • Published to the registry more recently than 34% of the other 1389 servers in this category
  • Basic checks equal to or better than 22% of the other 1389 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Control Plane safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Control Plane AI Plugin

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.

Installation

Claude Code
/plugin marketplace add https://github.com/controlplane-com/ai-plugin.git

/plugin install cpln@controlplane /reload-plugins

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:

/plugin marketplace add anthropics/claude-plugins-community

/plugin install cpln@claude-community /reload-plugins

Codex
codex plugin marketplace add https://github.com/controlplane-com/ai-plugin.git

Start Codex, open /plugins, and install cpln. The MCP handshake supplies the core rules. Local installations also include optional session hooks, which must be reviewed and trusted in Codex before they run.

Update with codex plugin marketplace upgrade controlplane, then restart Codex.

Antigravity CLI

Install the plugin with Antigravity CLI (agy):

agy plugin install https://github.com/controlplane-com/ai-plugin/plugins/cpln
Generic MCP client

Point any other MCP client at the hosted server:

{

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

The bare URL serves the default core tool set. A client that loads tools on demand can add ?toolsets=full for every tool.

Authentication

MCP uses OAuth 2.1 + PKCE. Sign in to let the assistant act on your Control Plane organizations — you choose which orgs it may operate on, and the token is scoped to those orgs and enforced server-side on every call. Sign in again to change the grant. Treat MCP access as production access to the orgs you grant. How to sign in:

  • Claude Code — /mcp, select cpln, sign in (or claude mcp login cpln).
  • Codex — codex mcp login cpln.
  • Antigravity CLI — /mcp, select cpln, authenticate.

Environment variables

Optional — only for the cpln CLI workflows some skills generate (CI/CD, Terraform, Pulumi). See .env.example.

VariablePurpose
CPLN_TOKENService-account token for cpln CLI calls (sensitive).
CPLN_ORGDefault organization.
CPLN_GVCDefault GVC.
CPLN_PROFILELocal cpln CLI profile.

Usage

Ask in natural language — the assistant routes to the right skill or agent:

  • "Troubleshoot why my payments-api workload in production keeps restarting."
  • "Put app.example.com in front of my web workload with auto-TLS."
  • "Give my analytics workload credential-free read access to S3 bucket prod-event-logs — no IAM keys."
  • "Provision a production Postgres with HA failover and S3 backups."
  • "Convert this kustomization.yaml to Control Plane and apply it to staging after I confirm."

Two workflows also have slash commands in Claude Code — /cpln:troubleshoot WORKLOAD and /cpln:migrate-k8s FILE; in other clients, ask for the same workflows by name.

What's included

  • Domain skills across CLI usage, access control, autoscaling, networking, observability, migration, templates, stateful storage, and security.
  • Two guided agents: workload troubleshooting and Kubernetes / Compose / Helm migration.
  • A short always-on rule set the assistant applies in every session, with the full operating guide as a skill read on demand.
  • Pre-configured access to the hosted Control Plane MCP server.

Security

  • MCP access is production access — scoped to the orgs you grant and your own RBAC.
  • Destructive actions (deleting resources, shrinking/deleting volumes, replacing workloads, applying to production) require explicit confirmation.
  • Secret values never pass through the chat: Control Plane generates the values nobody needs to know, the user types their own values into the Console, and tools return secret metadata only.
  • The plugin stores no logs, secrets, prompts, or telemetry; your AI client and model provider process prompts per their own policies.

Report vulnerabilities per SECURITY.md.

Where data goes

The plugin's one declared connector is the hosted MCP server at https://mcp.cpln.io/mcp, which acts only on the orgs you grant when you sign in, with your own permissions.

When a task needs it, the skills also run these tools on your machine, each with your own credentials:

ToolSends data to
cpln CLIThe Control Plane API (api.cpln.io), your org's image registry (ORG.registry.cpln.io), and the metrics endpoint (metrics.cpln.io), using your CLI profile or CPLN_TOKEN
dockerThe image registries you push to and pull from
kubectl, helmThe Kubernetes cluster you point them at, when migrating from it or installing the Control Plane Kubernetes operator
terraform, pulumiThe Control Plane API, through the Control Plane provider
gcloud and other cloud CLIsYour own cloud account, when connecting a private network or creating an agent VM
curlYour own domain, to check it after setup

The plugin itself stores nothing. Resources, app files, and invitations the assistant creates are stored in your Control Plane org until you delete them, and the org's audit trail records each change.

More

  • Contributing: CONTRIBUTING.md
  • Docs: docs.controlplane.com · Support: support@controlplane.com or Slack
  • License: MIT — see LICENSE
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