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Automations48k · #2725

datadog-automation

Automates Datadog tasks for your agent. It can fetch metrics, logs, and manage alerts, making monitoring easier.

What it does

This tool helps automate tasks in Datadog, like querying metrics, searching logs, managing alerts and dashboards, and creating events or scheduling downtimes.

When to use it

  • ✓When you need to see server performance.
  • ✓When you want to find specific errors in logs.
  • ✓When you need to temporarily silence an alert.

Example of what to ask your AI

“Show me the error logs from the web server for the last 2 hours.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/datadog-automation/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/datadog-automation/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool connects to Datadog using your credentials. It uses specific commands to fetch information or make changes, like requesting metrics or creating a new alert.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill datadog-automation

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/datadog-automation/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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:

…

FAQ

How do I connect Datadog?

You need to set up Rube MCP and use the `RUBE_MANAGE_CONNECTIONS` command with the 'datadog' type. Follow the authentication link if prompted.

What is Rube MCP?

It's a system that allows the AI to interact with other tools. You add a specific address for it to work.

Can I create a new alert?

Yes, you can create, update, mute, or view details of alerts (monitors) using the appropriate commands.

Details

Original description by the author

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.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2725
License
MIT
Updated
10/15/2026

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