datadog-automation

name: datadog-automation description: Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas. category: Document Processing source: antigravity tags: [markdown, api, mcp, ai, automation, workflow, document] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/datadog-automation

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_CONNECTIONS with toolkit datadog
• Always call RUBE_SEARCH_TOOLS first 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.

1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
2. Call RUBE_MANAGE_CONNECTIONS with toolkit datadog
3. If connection is not ACTIVE, follow the returned auth link to complete Datadog authentication
4. 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. `DATA