datadog-automation
This skill enables AI agents to programmatically interact with Datadog via the Rube MCP (Composio) integration, allowing them to query metrics, search logs, manage monitors and dashboards, and create events or downtimes—while automatically resolving current API schemas by searching available tools first.
How to Install
This skill comes from a community source.
Datadog Automation via Rube MCP
Automate Datadog monitoring and observability operations through Composio's Datadog toolkit via Rube MCP.
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Datadog connection via
RUBE_MANAGE_CONNECTIONSwith toolkitdatadog - Always call
RUBE_SEARCH_TOOLSfirst to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
- Verify Rube MCP is available by confirming
RUBE_SEARCH_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitdatadog - If connection is not ACTIVE, follow the returned auth link to complete Datadog authentication
- Confirm connection status shows ACTIVE before running any workflows
Core Workflows
1. Query and Explore Metrics
When to use: User wants to query metric data or list available metrics
Tool sequence:
1. DATADOG_LIST_METRICS - List available metric names [Optional]
2. DATADOG_QUERY_METRICS - Query metric time series data [Required]
Key parameters:
- query: Datadog metric query string (e.g., avg:system.cpu.user{host:web01})
- from: Start timestamp (Unix epoch seconds)
- to: End timestamp (Unix epoch seconds)
- q: Search string for listing metrics
Pitfalls:
- Query syntax follows Datadog's metric query format: aggregation:metric_name{tag_filters}
- from and to are Unix epoch timestamps in seconds, not milliseconds
- Valid aggregations: avg, sum, min, max, count
- Tag filters use curly braces: {host:web01,env:prod}
- Time range should not exceed Datadog's retention limits for the metric type
2. Search and Analyze Logs
When to use: User wants to search log entries or list log indexes
Tool sequence:
1. DATADOG_LIST_LOG_INDEXES - List available log indexes [Optional]
2. DATADOG_SEARCH_LOGS - Search logs with query and filters [Required]
Key parameters:
- query: Log search query using Datadog log query syntax
- from: Start time (ISO 8601 or Unix timestamp)
- to: End time (ISO 8601 or Unix timestamp)
- sort: Sort order ('asc' or 'desc')
- limit: Number of log entries to return
Pitfalls:
- Log queries use Datadog's log search syntax: service:web status:error
- Search is limited to retained logs within the configured retention period
- Large result sets require pagination; check for cursor/page tokens
- Log indexes control routing and retention; filter by index if known
3. Manage Monitors
When to use: User wants to create, update, mute, or inspect monitors
Tool sequence:
1. DATADOG_LIST_MONITORS - List all monitors with filters [Required]
2. DATADOG_GET_MONITOR - Get specific monitor details [Optional]
3. DATADOG_CREATE_MONITOR - Create a new monitor [Optional]
4. DATADOG_UPDATE_MONITOR - Update monitor configuration [Optional]
5. DATADOG_MUTE_MONITOR - Silence a monitor temporarily [Optional]
6. DATADOG_UNMUTE_MONITOR - Re-enable a muted monitor [Optional]
Key parameters:
- monitor_id: Numeric monitor ID
- name: Monitor display name
- type: Monitor type ('metric alert', 'service check', 'log alert', 'query alert', etc.)
- query: Monitor query defining the alert condition
- message: Notification message with @mentions
- tags: Array of tag strings
- thresholds: Alert threshold values (critical, warning, ok)
Pitfalls:
- Monitor type must match the query type; mismatches cause creation failures
- message supports @mentions for notifications (e.g., @slack-channel, @pagerduty)
- Thresholds vary by monitor type; metric monitors need critical at minimum
- Muting a monitor suppresses notifications but the monitor still evaluates
- Monitor IDs are numeric integers
4. Manage Dashboards
When to use: User wants to list, view, update, or delete dashboards
Tool sequence:
1. DATADOG_LIST_DASHBOARDS - List all dashboards [Required]
2. DATADOG_GET_DASHBOARD - Get full dashboard definition [Optional]
3. DATADOG_UPDATE_DASHBOARD - Update dashboard layout or widgets [Optional]
4. DATADOG_DELETE_DASHBOARD - Remove a dashboard (irreversible) [Optional]
Key parameters:
- dashboard_id: Dashboard identifier string
- title: Dashboard title
- layout_type: 'ordered' (grid) or 'free' (freeform positioning)
- widgets: Array of widget definition objects
- description: Dashboard description
Pitfalls:
- Dashboard IDs are alphanumeric strings (e.g., 'abc-def-ghi'), not numeric
- layout_type cannot be changed after creation; must recreate the dashboard
- Widget definitions are complex nested objects; get existing dashboard first to understand structure
- DELETE is permanent; there is no undo
5. Create Events and Manage Downtimes
When to use: User wants to post events or schedule maintenance downtimes
Tool sequence:
1. DATADOG_LIST_EVENTS - List existing events [Optional]
2. `DAT
Details
| Category | DevOps → cicd |
| Source | community |
| SKILL.md | View on GitHub → |
| Repo Stars | N/A |
| Est. per Skill | N/A (shared across 1230 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | Critical |
Related Skills
Works Well With
Skills from the same repository — often designed to work together