List all configured HTTP servers with their names, listen addresses, route counts, and TLS status. Use this to discover server names before calling route tools.
AI agents call caddy_list_servers to retrieve information from Caddy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about existing server configurations without altering, deleting, or executing operations. It is purely informational, making it a Read operation. Severity is low because discovering server names and listening addresses poses minimal direct security risk, though the information could inform further attacks.
From the tool's definition Tool description explicitly states 'List all configured HTTP servers' with retrieval of names, addresses, route counts, and TLS status—a pure query/discovery operation with no modifications, deletions, or side effects.
Documented attack patterns abuse exactly the kind of access caddy_list_servers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Caddy, and nothing reaches the server without passing your rules. This is the rule we recommend for caddy_list_servers:
{
"version": "1",
"default": "deny",
"tools": {
"caddy_list_servers": {}
}
} caddy_list_servers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all configured HTTP servers with their names, listen addresses, route counts, and TLS status. Use this to discover server names before calling route tools. It is categorised as a Read tool in the Caddy MCP Server, which means it retrieves data without modifying state.
Register the Caddy MCP server in PolicyLayer and add a rule for caddy_list_servers: 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 Caddy. Nothing to install.
caddy_list_servers 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 caddy_list_servers 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 caddy_list_servers. 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.
caddy_list_servers is provided by the Caddy MCP server (yawlabs/caddy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Caddy, 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.
18 Caddy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.