Get the current health status of all reverse proxy upstreams. Shows address, active requests, and failure counts.
AI agents call caddy_upstreams 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.
The caddy_upstreams tool queries and returns monitoring/status data about reverse proxy upstreams. It retrieves existing state without creating, modifying, deleting, or executing operations. This is a read-only diagnostic tool, making it Read category with low severity since exposure poses minimal risk — an AI querying upstream health status cannot damage infrastructure or cause unintended operational changes.
From the tool's definition Tool description states it 'Get[s] the current health status' and 'Shows address, active requests, and failure counts' — purely informational retrieval with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access caddy_upstreams 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_upstreams:
{
"version": "1",
"default": "deny",
"tools": {
"caddy_upstreams": {}
}
} caddy_upstreams is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get the current health status of all reverse proxy upstreams. Shows address, active requests, and failure counts. 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_upstreams: 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_upstreams 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_upstreams 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_upstreams. 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_upstreams 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.