Remove a route. Target by @id (preferred — stable across reorderings) or by array index on a specific server. Index-based removal is a two-step read-then-delete and can race against concurrent edits; prefer @id when possible.
AI agents call caddy_remove_route to permanently remove resources in Caddy — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly deletes a route from a Caddy web server configuration. Route removal cannot be undone without restoring from a prior snapshot, making it destructive. The tool modifies critical infrastructure (web server routing), so misuse could break service availability.
From the tool's definition Remove a route. Target by @id (preferred — stable across reorderings) or by array index on a specific server.
Documented attack patterns abuse exactly the kind of access caddy_remove_route 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_remove_route:
{
"version": "1",
"default": "deny",
"hide": [
"caddy_remove_route"
]
} caddy_remove_route disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Remove a route. Target by @id (preferred — stable across reorderings) or by array index on a specific server. Index-based removal is a two-step read-then-delete and can race against concurrent edits; prefer @id when possible. It is categorised as a Destructive tool in the Caddy MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Caddy MCP server in PolicyLayer and add a rule for caddy_remove_route: 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_remove_route is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the caddy_remove_route 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_remove_route. 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_remove_route 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.