deployment · Coolify MCP: Risk & Policy

WHAT IT DOES

What deployment does on Coolify

AI agents invoke deployment to trigger actions in Coolify. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why deployment needs a policy

The tool encompasses both read operations (get, list_for_app) and an action that triggers external infrastructure operations (cancel). Cancelling a deployment is an operational execution that affects running infrastructure — it cannot be undone in the sense that the cancelled deployment must be re-triggered.

From the tool's definition Manage deployment: get/cancel/list_for_app — the 'cancel' action triggers an external operation that stops an active deployment, which is an irreversible operational state change.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deployment Rate-limited

deployment stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "deployment": {
      "limits": [
        {
          "counter": "deployment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Coolify, so you can run agents against it safely.

FAQ

Questions about deployment

What does the deployment tool do? +

Manage deployment: get/cancel/list_for_app (logs excluded by default, use lines param to include). It is categorised as a Execute tool in the Coolify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deployment? +

Register the Coolify MCP server in PolicyLayer and add a rule for deployment: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Coolify. Nothing to install.

What risk level is deployment? +

deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit deployment? +

Yes. Add a rate_limit block to the deployment rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block deployment completely? +

Set action: deny in the PolicyLayer policy for deployment. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides deployment? +

deployment is provided by the Coolify MCP server (jurislm/coolify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.