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Query metrics, manage monitors, list incidents, and check service status via Datadog API
55+ deploysYour AI agent gets 5 capabilities in one connection. Deploy once, use from any client.
GET endpoints
list_monitors
List monitors with ID, name, type (metric alert/service check/event alert), status (OK/Alert/Warn/No Data), query, message, and tags. Filter by 'tags' or 'monitor_tags'. Paginate with 'page' and 'page_size' (max 100).
https://api.datadoghq.com/api/v1/monitor?page=0&page_size=25
list_incidents
List incidents with title, severity (SEV-1 to SEV-5), status (active/stable/resolved), created/modified timestamps, commander, and postmortem link. Filter by 'page[size]' (max 100). Requires Incident Management feature.
https://api.datadoghq.com/api/v2/incidents?page[size]=25
list_dashboards
List all dashboards with ID, title, description, layout_type (ordered/free), URL, author handle, and creation/modification timestamps. Use dashboard ID to construct direct links: app.datadoghq.com/dashboard/{id}.
https://api.datadoghq.com/api/v1/dashboard
POST endpoints
query_metrics
Query time-series metrics. Pass 'from'/'to' as Unix timestamps (seconds) and 'query' using Datadog query syntax (e.g. 'avg:system.cpu.user{host:web01}'). Returns series with pointlist [[timestamp, value], ...] and scope metadata.
https://api.datadoghq.com/api/v1/query
create_monitor
Create a metric alert monitor with 'name', 'type' (metric alert), 'query' (Datadog query with thresholds), 'message' (notification body with @mentions), and optional 'tags', 'priority' (1-5). Returns monitor ID for updates.
https://api.datadoghq.com/api/v1/monitor
Connect Datadog to Claude Code with one command:
claude mcp add datadog https://datafaucet.dev/api/mcp/t/datadog{notion_token}) with your real credentialsNeed API keys? Try our free sandbox templates first to see MCP in action with zero setup.
Replace these placeholders with your real values before deploying:
{alert_query}Your value{datadog_api_key}API settings page{datadog_app_key}Your value{end_ts}Your value{message}Your value{metric_query}Your value{monitor_name}Your value{start_ts}Your valuePreview:
GET https://api.datadoghq.com/api/v1/monitor?page=0&page_size=25 DD-API-KEY: {datadog_api_key} DD-APPLICATION-KEY: {datadog_app_key}
claude mcp add datadog --url https://datafaucet.dev/api/mcp/t/datadog
Paste into your client's MCP configuration file · most users connect in under 60s
claude mcp add datadog --url https://datafaucet.dev/api/mcp/t/datadogWhat your AI agent sees
I have access to 5 tools from Datadog: list_monitors, query_metrics, list_incidents, and 2 more.
“List monitors with ID, name, type (metric alert/service check/event alert), status (OK/Alert/Warn/No Data), query, message, and tags. Filter by 'tags' or 'monitor_tags'. Paginate with 'page' and 'page_size' (max 100).”
Calling list_monitors... Done. Here are the results.
Try these prompts
“Show me the p95 API latency for the last hour”
Copy“Create a monitor that alerts when error rate exceeds 5%”
Copy“List all active alerts and their current status”
CopyClick any prompt to copy, then paste into your AI client.