datadog:logs

Search and aggregate Datadog logs for a service, time range, and status level.

1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/fabn/claude-plugins --skill datadog-logs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: datadog:logs
Source: https://github.com/fabn/claude-plugins/tree/main/plugins/datadog/skills/logs
Command: npx skills add https://github.com/fabn/claude-plugins --skill datadog-logs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It eliminates the manual effort of crafting Datadog log queries and interpreting raw log data, enabling rapid troubleshooting and monitoring.

Core Features & Use Cases

  • Translates natural language or code snippets into precise Datadog log queries.
  • Applies default service and filter settings from project configuration.
  • Executes searches and aggregations with search-logs and aggregate-logs, then presents concise results with follow‑up suggestions.

Quick Start

Ask the skill to find recent error logs for my service in the last hour.

Frequently Asked Questions about datadog:logs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search Datadog logs using natural language instead of complex queries?

You can search Datadog logs by providing natural language or code snippets. The tool translates your input into precise queries, applies default service filters, and uses the search-logs function to return concise results for rapid troubleshooting.

Can I aggregate Datadog log data for a specific service and time range?

Yes, you can aggregate Datadog log data for a specific service, time range, and status level. The tool leverages Datadog MCP aggregate-logs parameters to process and summarize the log information for actionable insights.

Does this tool work with default service filters for Datadog log analysis?

Yes, this tool applies default service and filter settings from your project configuration during Datadog log analysis. This ensures your search-logs and aggregate-logs queries are automatically scoped to the correct operational context.

What is the best way to resolve operational issues using Datadog logs?

The best way to resolve operational issues is to analyze Datadog logs for your specified service and time range. This tool eliminates manual query crafting, executes the search, and presents concise results with follow-up suggestions.

How do I find recent error logs for my service in Datadog?

To find recent error logs, ask the tool to search for errors in your service over a specified time range. It translates this request into a Datadog log query, applies status level filters, and retrieves the matching log data.

Are there limitations when using Datadog MCP tools for log aggregation?

Datadog MCP log aggregation relies on the default service filters and aggregation parameters provided in your configuration. It is limited to analyzing log data for specified services, time ranges, and status levels to ensure accurate operational troubleshooting.