- TRENDS
- COMPLIANCE
- REPORTS
- HUMAN
Short answer
How can I use AI to track my Datadog metrics and SLOs?
Your AI pulls time-series data and checks service level objectives directly from Datadog. You'll get a clear view of performance trends and compliance status through the following breakdown.
The outcomes
Where your data goes
The AI processes Datadog telemetry into these specific results.
TRENDS
Spot performance shifts
The AI pulls metric data to show how latency or error rates change. You get a clear view of system behavior over time.
COMPLIANCE
Check SLO status
Your agent checks if services meet their objectives. It identifies when you are nearing a breach.
REPORTS
Get health summaries
The AI summarizes raw telemetry into plain text. You get a readable overview of your most important metrics.
HUMAN
Make the call
The AI provides the data and the trends. You decide if a metric requires an incident or a code fix.
The workflow
What your AI does when the data arrives.
The AI acts as the interface between your Datadog environment and your chat.
Fetch telemetry
The AI pulls specific time-series data points like CPU usage or request latency.
query_metricsCheck objectives
The agent looks up your configured service level objectives to see if they are being met.
list_slosCompare values
It compares current metric values against historical data or SLO thresholds.
query_metricslist_slosSummarize health
The AI translates raw numbers into a plain English explanation of service performance.
query_metrics
Try it
Copy these to start.
Use these prompts to begin interacting with your Datadog data.
Starting points
Replace the service names and metric names with your actual Datadog identifiers.
Datadog Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_v7in3QWy0ApCG2tAnOZzEFbhEmNkQfEznkXebVEX/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 — Datadog capabilities are ready to use.
{
"mcpServers": {
"datadog-mcp": {
"url": "https://edge.vinkius.com/vk_preview_v7in3QWy0ApCG2tAnOZzEFbhEmNkQfEznkXebVEX/mcp"
}
}
}Show me the error rate for the 'auth-service' over the last 3 hours.
Are any of my SLOs currently at risk of being breached?
Compare the p95 latency of the 'payment-gateway' from today versus yesterday.
List all my current SLOs and tell me which one has the lowest compliance rate.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Datadog once, then ask.
Link your Datadog account through Vinkius. Your credentials stay encrypted, and you can immediately start querying metrics in your favorite AI client.
Connect Datadog to your AIFAQ
How this task behaves
- 01
Can the AI change my Datadog monitor settings?
No. The AI can only read metrics and list SLOs. It cannot modify or create any configurations in Datadog.
- 02
Can the AI create new SLOs for me?
No. The AI can only list existing SLOs and check their status. You must create new objectives within the Datadog UI.
- 03
Does the AI see all my Datadog data?
The AI only sees the data it specifically queries based on your prompts. It does not have a constant stream of all your telemetry.
- 04
Can the AI delete metrics or logs?
No. The AI is limited to reading data. It has no capability to delete any information from your Datadog account.
- 05
How does the AI know which metrics to look at?
It uses the specific metric names and tags you provide in your prompt to target the right time-series data.
More questions about Datadog? See everything the Datadog Connector can do
Connect Datadog to Claude, Cursor, ChatGPT & more
