datadog-automation
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.
IT & Software DevelopmentAI & 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_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:
DATADOG_LIST_METRICS- List available metric names [Optional]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 me
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-02-27 |
Related skills
application-performance-performance-optimization
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
distributed-debugging-debug-trace
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.
distributed-tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
incident-responder
Expert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management.
observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.
on-call-handoff-patterns
Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.
