MCP For Claude Marketplace
Datadog

Datadog MCP Connector for Claude

A+

Monitor applications via Datadog — query performance metrics, search logs, and list active monitors directly from any AI agent.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Datadog account to any AI agent and take full control of your infrastructure monitoring and log management through natural conversation.

What you can do

  • Metric Auditing — Execute static queries targeting numeric telemetry datastores to resolve specific DDQL metrics objects generated dynamically
  • Log Investigation — Perform structural extraction matching target string traces inside Datadog logs to evaluate status boundaries across your apps
  • Monitor Management — Discover explicit system rule endpoints bounding configured triggers against alert metrics to verify health states
  • Telemetry Extraction — Fetch timestamp arrays natively from numeric logged endpoints to analyze performance trends over specific time intervals
  • Log Filtering — Apply ISO boundary mappings to compare logging payloads and identify exactly when errors or bottlenecks occurred

How it works

  1. Connect the Datadog integration to your AI assistant.
  2. Authorize using your Datadog API Key, APP Key, and Site.
  3. Monitor your entire cloud infrastructure using natural language.

Who is this for?

  • DevOps Engineers — monitor system health and audit alerts without switching to the Datadog dashboard
  • Software Developers — search through application logs and verify metric telemetry directly from the IDE or chat
  • SREs — monitor active alerts and analyze performance trends during incident response
  • System Admins — audit monitor configurations and verify system boundaries through natural language
infrastructure-monitoringlog-analysisperformance-metricscloud-observabilityalertingreal-time-monitoring

11 tools expose this connector's capabilities to your AI agent.

list_dashboards

Returns a list of dashboard identifiers, titles, layout types (timeboard/screenboard), and direct access URLs. List all dashboards

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

list_downtimes

Returns scope tags, recurring schedules, and current status to identify planned maintenance periods. List scheduled downtimes

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

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

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

get_monitor

Resolves notification settings, threshold values, and historical status changes for the given monitor ID. Get monitor details

mute_monitor

Interacts with the alerting boundary to set temporary silence periods, optionally with an automatic expiration timestamp. Mute a monitor

list_events

Returns a collection of events including titles, priority levels, and source identifiers (e.g., monitor alerts, deployment events). List events

get_dashboard

Resolves all widget configurations, template variables, and layout structures for visualization rendering. Get dashboard details

list_hosts

Returns host metadata including agent version, active tags, and associated cloud provider attributes. List infrastructure hosts

See how to talk to your AI agent using Datadog.

Show me the CPU usage for 'web-server' over the last 30 minutes

Querying Datadog metrics... Average CPU usage for 'web-server' is 45%. Usage peaked at 78% about 10 minutes ago. Performance appears stable.

Find logs with '500 Internal Server Error' from the last hour

I found 12 logs with '500 Internal Server Error'. Most occurrences are in the 'auth-service'. I can provide the detailed stack traces for these errors if you need.

Are there any active monitors in 'Alert' state?

Checking Datadog monitors... I found 2 monitors in 'Alert' state: [Free Disk Space Low] on 'db-node-1' and [High Request Latency] on 'api-gateway'.

Yes. Use the 'query_metrics' tool. Provide your DDQL query string and the target time range. The agent will fetch the numeric timeseries data directly from Datadog's telemetry datastores.

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