BeClaude

datadog

New
Official PluginData & Analyticsby Datadog

Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in preview.

First seen 5/22/2026

Summary

This skill integrates Datadog directly into Claude Code via an MCP server, enabling you to query logs, metrics, traces, and dashboards through natural conversation.

  • It streamlines incident response and debugging by letting you explore observability data without switching contexts.

Install & Usage

1
Open your MCP config
~/.claude.json
2
Add the server config

Add the configuration to "mcpServers": { "datadog": { "command": "...", "args": [] } }

3
Restart Claude Code
/mcp

Use Cases

Investigate a production incident by querying recent error logs and correlated traces for a specific service.
Check the current CPU and memory usage of your Kubernetes pods to identify resource bottlenecks.
Retrieve a list of monitors in warning or alert state and get details on why they triggered.
Search for a specific dashboard by name and display its key graphs or summary.
Analyze latency trends for an API endpoint over the last hour to spot performance regressions.
Compare error rates across multiple versions of a deployed service during a canary rollout.

Usage Examples

1

/datadog show me error logs from the payment service in the last 15 minutes

2

/datadog what is the average response time of the checkout endpoint over the past hour?

3

/datadog list all monitors with status alert and explain why each is triggered

View source on GitHub
code-reviewmcpplugin

Security Audits

LicenseUnknownSourcePassRepositoryPass

Frequently Asked Questions

What is datadog?

This skill integrates Datadog directly into Claude Code via an MCP server, enabling you to query logs, metrics, traces, and dashboards through natural conversation. It streamlines incident response and debugging by letting you explore observability data without switching contexts.

How to install datadog?

To install datadog: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "datadog": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.

What is datadog best for?

datadog is a mcp categorized under Data & Analytics. It is designed for: code-review, mcp, plugin. Created by Datadog.

What can I use datadog for?

datadog is useful for: Investigate a production incident by querying recent error logs and correlated traces for a specific service.; Check the current CPU and memory usage of your Kubernetes pods to identify resource bottlenecks.; Retrieve a list of monitors in warning or alert state and get details on why they triggered.; Search for a specific dashboard by name and display its key graphs or summary.; Analyze latency trends for an API endpoint over the last hour to spot performance regressions.; Compare error rates across multiple versions of a deployed service during a canary rollout..