deploy · Coolify MCP: Risk & Policy

WHAT IT DOES

What deploy does on Coolify

AI agents invoke deploy 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 deploy needs a policy

This tool executes deployment operations that trigger real infrastructure changes and activate external CI/CD pipelines. While not destructive per se, deployments cause immediate effects on running systems. Misuse could deploy broken code, unintended versions, or cause service disruptions.

From the tool's definition Tool performs deployment actions ('Deploy by tag/UUID') which triggers external operations (application deployment pipelines).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deploy Rate-limited

deploy 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": {
    "deploy": {
      "limits": [
        {
          "counter": "deploy_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 deploy

What does the deploy tool do? +

Deploy by tag/UUID. Use pr param for PR preview deployments (requires GitHub app integration). 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 deploy? +

Register the Coolify MCP server in PolicyLayer and add a rule for deploy: 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 deploy? +

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

Can I rate-limit deploy? +

Yes. Add a rate_limit block to the deploy 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 deploy completely? +

Set action: deny in the PolicyLayer policy for deploy. 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 deploy? +

deploy 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.