- ANALYSIS
- REPORTING
- TRIAGE
- HUMAN
Short answer
How can I pull Gatus metrics into my AI?
Your AI uses the get_metrics tool to pull raw Prometheus-compatible data directly from your Gatus instance. This allows your agent to analyze health check trends and identify the exact cause of failures. You'll get a breakdown of how to set this up and use it below.
Data outcomes.
Where your data goes.
The AI processes raw Gatus metrics into these specific outcomes.
ANALYSIS
Root cause identification
The AI looks at the Prometheus data to find why a health check failed. It identifies patterns in latency or error rates that point to the source of the problem.
REPORTING
Trend summaries
Your agent aggregates metric history to show how service health has changed over time. You get a clear view of stability without manual graphing.
TRIAGE
Automated error grouping
The AI sorts through metric spikes to group similar failure modes. This helps you see if one specific endpoint is causing a cascade of issues.
HUMAN
Manual intervention
The AI flags critical metric thresholds that require you to step in. You decide when to trigger a rollback or a manual service restart.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of data retrieval and interpretation.
Fetch raw data
Your agent reaches into Gatus to grab the specific Prometheus metrics you need for your query.
get_metricsParse metrics
The AI translates the raw numerical data into a readable format it can reason about.
get_metricsIdentify anomalies
The agent compares current metric values against historical norms to spot deviations.
get_metricsDraft findings
The AI summarizes the technical state of your services based on the retrieved data.
get_metrics
Try it
Copy these to start.
Use these prompts to begin your investigation.
Starting points
Swap the bracketed text with your actual Gatus endpoint or specific metric names.
Gatus Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_SZx7OyqfGelePhBmZTfpkK6YDYBS4FrcrFgcux0J/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 — Gatus capabilities are ready to use.
{
"mcpServers": {
"gatus-health-dashboard-mcp": {
"url": "https://edge.vinkius.com/vk_preview_SZx7OyqfGelePhBmZTfpkK6YDYBS4FrcrFgcux0J/mcp"
}
}
}Get the latest Prometheus metrics for the [service name] endpoint in Gatus.
Analyze the latency metrics for [endpoint] and tell me if there is a trend.
Check the error rate metrics for [service] from the last hour.
Summarize the health status of all endpoints in my Gatus instance using the available metrics.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Gatus once, then ask.
Just provide your Gatus credentials once. Your login stays encrypted on our side, and you can immediately start asking your AI about your health checks.
Connect Gatus to your AIFAQ
How this task behaves.
- 01
Can the AI change my Gatus configuration?
No. The AI can only read metrics through the get_metrics tool. It cannot modify your health checks or settings.
- 02
Does the AI delete any of my monitoring data?
No. The AI has read-only access to the metrics. It cannot delete or alter any data in Gatus.
- 03
Can I use this with any MCP-compatible client?
Yes. Once you connect Gatus via Vinkius, you can use it in Claude, Cursor, Windsurf, or VS Code.
- 04
What kind of data can the AI see?
The AI sees any Prometheus-compatible metric exposed by your Gatus instance.
- 05
Do I need to install anything on my local machine?
No. Vinkius hosts the MCP, so you only need to connect your AI client.
More questions about Gatus? The Connector page answers them. See everything the Gatus Connector can do
Connect Gatus to Claude, Cursor, ChatGPT & more
