Retrieve a list of all running deployments in Coolify. This includes details about the deployment status and history.
AI agents call list-deployments to retrieve information from Coolify MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists deployment information from Coolify, providing visibility into deployment status and history. It performs no modifications, deletions, or external state changes.
From the tool's definition Tool name 'list-deployments' and description 'Retrieve a list of all running deployments' indicate a query operation that retrieves data without modification or side effects.
Documented attack patterns abuse exactly the kind of access list-deployments gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Coolify MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list-deployments:
{
"version": "1",
"default": "deny",
"tools": {
"list-deployments": {}
}
} list-deployments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve a list of all running deployments in Coolify. This includes details about the deployment status and history. It is categorised as a Read tool in the Coolify MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Coolify MCP Server MCP server in PolicyLayer and add a rule for list-deployments: 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 MCP Server. Nothing to install.
list-deployments is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list-deployments 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.
Set action: deny in the PolicyLayer policy for list-deployments. 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.
list-deployments is provided by the Coolify MCP Server MCP server (stumason/coolify-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Coolify MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 Coolify MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.