Use Datadog with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Monitor applications via Datadog. query performance metrics, search logs, and list active monitors directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 11 capabilities
The complete Datadog capability set.
These are the exact actions your AI can choose when you ask it to work with Datadog.
01-04
4 capabilities in this set.
Part of 11 available through Datadog.
- 01
Get dashboard
Resolves all widget configurations, template variables, and layout structures for visualization rendering. Get dashboard details
- 02
Get monitor
Resolves notification settings, threshold values, and historical status changes for the given monitor ID. Get monitor details
- 03
List downtimes
Returns scope tags, recurring schedules, and current status to identify planned maintenance periods. List scheduled downtimes
- 04
List events
Returns a collection of events including titles, priority levels, and source identifiers (e.g., monitor alerts, deployment events). List events
05-08
4 capabilities in this set.
Part of 11 available through Datadog.
- 05
List monitors
Filters results by operational state (alert, warn, no data, ok) and returns monitor metadata including type, query, and current status. List monitors by state
- 06
Mute monitor
Interacts with the alerting boundary to set temporary silence periods, optionally with an automatic expiration timestamp. Mute a monitor
- 07
Query metrics
Resolves time-series data within the specified UNIX timestamp range. Returns metric points, scope tags, and unit metadata for infrastructure and application monitoring. Query time-series metrics
- 08
List slos
Returns SLO definitions including target percentages, time windows, and current compliance status for monitor-based or metric-based objectives. List Service Level Objectives
09-11
3 capabilities in this set.
Part of 11 available through Datadog.
- 09
Search logs
Interacts with the log storage boundary to retrieve entries matching the query syntax, including timestamps, status levels, and structured attributes. Search application logs
- 10
List dashboards
Returns a list of dashboard identifiers, titles, layout types (timeboard/screenboard), and direct access URLs. List all dashboards
- 11
List hosts
Returns host metadata including agent version, active tags, and associated cloud provider attributes. List infrastructure hosts
Observed, not estimated
894ms average. Fast in production.
Datadog is checked daily against the live service.
- Fastest day
- 741ms
- Slowest day
- 1136ms
- 14-day trend
- Slowing+30%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Datadog, so you can see the experience inside your AI.
It does not authenticate your account with Datadog. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
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"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Datadog owners ask.
- 01
Can my agent query specific Datadog metrics using DDQL?
Yes. Use the 'query_metrics' capability. Provide your DDQL query string and the target time range. The agent will fetch the numeric timeseries data directly from Datadog's telemetry datastores.
- 02
How do I search for a specific error message across my application logs?
Use the 'search_logs' capability. Provide a query matching your error string and an ISO time boundary. The agent will retrieve the structural extraction of logs matching those parameters to help you identify failures.
- 03
Can I see which monitors are currently in an alert state?
Absolutely. The 'list_monitors' capability allows you to filter by group state (e.g., 'alert,warn'). The agent pulls the explicitly configured system triggers to show you which services are currently unhealthy.
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