- STATUS
- METRICS
- ALERTS
- HUMAN
Short answer
How do I monitor my Caddy server health with AI?
Your AI uses the Caddy Server MCP to pull real-time upstream status and Prometheus-style metrics. You get immediate visibility into proxy performance and backend health through your chat interface.
Monitoring outcomes.
Where your data lands.
The AI processes raw Caddy data into these specific outcomes.
STATUS
Upstream health checks
The AI checks if your backends are responding. You get a clear list of which upstreams are up or down.
METRICS
Performance snapshots
Your agent pulls Prometheus metrics to show request rates and error counts. This identifies spikes in real time.
ALERTS
Issue identification
The AI spots anomalies in the metric stream. It flags specific errors or latency jumps for you to review.
HUMAN
Manual intervention
The AI identifies the problem but won't touch your config. You decide when to restart services or fix routes.
The workflow
What your AI does when the data arrives.
The AI acts as a bridge between your Caddy logs and your chat interface.
Check backends
The AI looks at the current state of your proxy upstreams to see if they are reachable.
get_upstreamsPull performance data
It gathers Prometheus-style metrics to understand the current load and error rates.
get_metricsAnalyze trends
The agent compares recent metric pulls to find unusual patterns in traffic or errors.
get_metricsReport status
The AI summarizes the health of the entire proxy setup in plain language.
get_upstreamsget_metrics
Try it
Copy these to start.
Use these prompts to begin monitoring your Caddy setup.
Starting points
These are starting points. Swap out the specific backend names or metric types to match your setup.
Caddy Server Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_gShVUlwT05Svndiw6yTP7MMzUZIbPaSZETyLT6Vt/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Caddy Server capabilities are ready to use.
{
"mcpServers": {
"caddy-server-mcp": {
"url": "https://edge.vinkius.com/vk_preview_gShVUlwT05Svndiw6yTP7MMzUZIbPaSZETyLT6Vt/mcp"
}
}
}Check the status of my 'api_backend' upstream.
Show me the latest Prometheus metrics for request latency.
Are any of my Caddy upstreams currently reporting errors?
Summarize the performance metrics for the last few minutes.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Caddy Server once, then ask.
One connection links your Caddy instance to your AI. Your credentials stay encrypted and secure on our side.
Connect Caddy Server to your AIFAQ
How this task behaves.
- 01
Can the AI change my Caddyfile?
No. The AI can only read upstream status and metrics. It cannot modify your configuration or rewrite rules.
- 02
Can the AI restart my Caddy service?
No. The AI is limited to data retrieval. You must handle all service restarts and system commands yourself.
- 03
What kind of metrics can it pull?
It pulls Prometheus-style performance metrics, including things like request counts and error rates.
- 04
Does it work with any Caddy setup?
Yes, as long as the Caddy Server MCP is connected and the metrics/upstream endpoints are accessible.
- 05
How often does the AI check the status?
The AI only checks the status when you ask it a question or trigger a prompt.
More questions about Caddy Server? See everything the Caddy Server Connector can do
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