Datadog Extension for VS Code & Cursor

문서 > Datadog IDE Plugins > Datadog Extension for VS Code & Cursor

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Overview

The Datadog extension for VS Code and Cursor brings Datadog to your code editor to accelerate your development.

The extension includes these features:

Code Security: Detect and fix security issues before you commit, and write custom rules.
Model Context Protocol (MCP) Server: Connect the editor’s AI agent to production telemetry, tools, and context from Datadog.
Code Insights: Stay informed about code and library vulnerabilities without leaving the code.
View in IDE: Jump directly from code references in Datadog to your source files.
Fix in Chat: Fix code errors, vulnerabilities, and flaky tests with AI-powered suggestions and explanations.
Logs: Gauge log volumes and search logs from your code.
Exception Replay: Debug your production code.
Live Debugger: Add non-breaking logpoints to running services to capture runtime data without redeploying.

Unless stated otherwise, all extension features are available for both VS Code and any other IDEs based on VS Code forks, such as Cursor.

Requirements

Datadog account: Most features require a Datadog account.
- New to Datadog? Learn more about Datadog’s monitoring and security tools and sign up for a free trial.
- If your organization uses a custom sub-domain such as myorg.datadoghq.com, you must indicate it using the datadog.connection.oauth.setup.domain setting in the IDE.
Git: The extension works better when Git is enabled in the IDE. Ensure this is enabled by checking the git.enabled setting.

Installation

Installation steps may vary for other VS Code-based editors.

Install the extension either directly in the IDE, or from the web:

In VS Code: Open the Extensions view (Shift + Cmd/Ctrl + X), search for datadog, and select the official extension from Datadog.
From the web: Install from the extension’s page on Visual Studio Marketplace.

MCP Server setup

The extension includes access to the Datadog Model Context Protocol (MCP) Server. Ensure the MCP Server is enabled to enhance the editor’s AI capabilities with your specific Datadog environment:

Open the chat panel, select agent mode, and click the Configure Tools button.
Find the Datadog server and tools in the list and check the boxes to enable them (expand or refresh if necessary).

Install the extension either directly in the IDE, or from the web:

In Cursor: Open the Extensions view (Shift + Cmd/Ctrl + X), search for datadog, and select the official extension from Datadog.
From the web: Download the VSIX file from Open VSX Registry, and install with Extensions: Install from VSIX in the command palette (Shift + Cmd/Ctrl + P).

Datadog MCP Server setup

Install the Datadog Plugin to enable the Datadog MCP Server. You can install the plugin from the Cursor Marketplace or in Cursor Settings > Plugins.

Core features

Code Security

The Code Security features analyze your code locally against predefined rules to detect and fix security issues and vulnerabilities before you commit changes.

Find out more in the Code Security sub-section.

Code insights

Code insights keep you informed with code and library vulnerabilities relevant to your codebase.

Find out more in the Code Insights sub-section.

View in IDE

This feature is only available for VS Code and Cursor. Other forks of VS Code are not supported.

The View in VS Code or View in Cursor feature provides a link from Datadog directly to your source files. Look for the button next to frames in stack traces displayed in the UI (for example, in Error Tracking):

A stack trace in Datadog showing the View in VS Code button

You can also use this feature to open your source files from an insight (such as an error from Error Tracking):

An Error Tracking issue in Datadog showing the View in VS Code button

To use this feature, first configure source code integration for your service.

Fix in Chat

The Fix in Chat button appears in several contexts when the extension identifies errors or issues. Click the button to generate an AI chat prompt that summarizes the problem, includes relevant details and context, and gives specific instructions for the agent.

Other features

Logs

This feature is in limited support.

Use Logs to gauge the volume of logs generated by a given log line in your code. The extension adds annotations above your code to detected logging patterns that match log records in Datadog.

Find out more in the Logs sub-section.

Exception Replay

This feature is in limited support.

Exception Replay allows you to inspect the stack trace frames of any Error Tracking code insight and get information about the values of the variables of the code running in production.

Find out more in the Exception Replay sub-section.

Live Debugger

This feature is in limited support.

The Live Debugger lets you add logpoints—auto-expiring, non-breaking breakpoints—to your running services to capture runtime data for debugging without redeploying your code.

Find out more in the Live Debugger sub-section.

Data and telemetry

Datadog collects certain information about your usage of this IDE, including how you interact with it, whether errors occurred while using it, what caused those errors, and user identifiers in accordance with the Datadog Privacy Policy and Datadog’s VS Code extension EULA. This data is used to help improve the extension’s performance and features, including transitions to and from the extension and the applicable Datadog login page for accessing the Services.

If you don’t wish to send this data to Datadog, you can disable this at any time in the extension’s settings: Datadog > Telemetry > Setup > Enable Telemetry and select disabled.

The Datadog extension also honors the VS Code telemetry setting.