Dynatrace

The Dynatrace MCP Server is a remote service that allows developers to interact with the Dynatrace observability platform, integrating real-time monitoring data directly into the development workflow. It supports functions such as problem detection, log query, and security vulnerability analysis.

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update time : 2025-05-07

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What is the Dynatrace MCP Server?

The Dynatrace MCP Server is a tool that enables real-time monitoring and automation functions through the Dynatrace platform. It helps developers quickly obtain abnormal data from the production environment, diagnose problems, and query logs using natural language, thereby improving development efficiency.

How to use the Dynatrace MCP Server?

By configuring environment variables and connecting to the Dynatrace platform, you can easily execute queries, obtain monitoring data, and set up automated workflows.

Use cases

Suitable for teams that need real-time monitoring of the production environment, quick problem location, and improved development efficiency.

Main features

List problems

Get a list of problems detected in the production environment in real-time.

Get security problems

Analyze vulnerabilities and security risks in the system.

Execute DQL queries

Use the Dynatrace Query Language (DQL) to obtain event or log data.

Send Slack messages

Send alerts directly to a specified channel via the Slack connector.

Set up notification workflows

Create custom notification processes using the Dynatrace automation engine.

Get entity ownership

Query the owner information of a specific entity.

Advantages

Get production environment data in real-time to speed up problem troubleshooting.

Support multiple query methods, such as DQL and natural language.

Powerful automation capabilities to reduce the need for manual operations.

Integrated with Slack for easy team collaboration and communication.

Limitations

Requires configuring an OAuth client and granting necessary permissions.

Has a certain dependence on network connection stability.

Some advanced features may require an additional paid subscription.

How to use

Install the Dynatrace MCP Server

Install the MCP Server plugin using npm or yarn.

Configure environment variables

Set the required environment variables, such as DT_ENVIRONMENT, OAUTH_CLIENT_ID, and OAUTH_CLIENT_SECRET.

Start the MCP Server

Run the MCP Server to connect to your Dynatrace environment.

Usage examples

Find open vulnerabilities in the production environment

Check for unpatched security vulnerabilities in the production environment.

Debug intermittent 503 errors

Analyze the reasons for the load balancer returning 503 errors.

Frequently Asked Questions

How to create a Dynatrace OAuth client?

How to enable Slack integration?

Does it support custom workflows?

Related resources

Dynatrace official documentation

Learn more about the features of the Dynatrace platform.

GitHub project page

Access the open-source code repository of the MCP Server.

Slack connector tutorial

Learn how to configure Slack integration.

🚀 Dynatrace MCP Server

Dynatrace's real-time observation and automation tool (MCP) is a powerful platform that integrates real-time monitoring, problem analysis, and automated operations directly into the development environment. Developers can easily access production environment status data in the code editor and respond quickly based on this information.

🚀 Quick Start

Installation and Configuration

Download the Plugin:
- Visit the Dynatrace Plugins Page to download the MCP plugin suitable for your IDE.
Configure Environment Variables:
- Create a .env file and fill in the following content as required (see .env.template for an example):
```
DYNATRACE_API_KEY=your_api_key_here
DYNATRACE_URL=your_dynatrace_url
```
Start the Plugin:
- Enable the MCP plugin in your IDE and ensure that the environment variables are configured correctly.

Example Use Cases

1. Discover Vulnerabilities in the Production Environment and Set Alerts

I found a vulnerability warning for a dependency in the code snippet here.
Please check if there are any unfixed vulnerabilities or CVEs in the production environment.
Analyze specific production issues.
Set an alert for the workflow that sends a Slack warning message to the #devops-alerts channel when there is an availability issue.

2. Debug Intermittent 503 Errors

Our load balancer intermittently returns 503 errors during peak hours.
Please obtain all the recently detected issues of the front-end service and run a query to correlate the error rate with the service instance health metrics.
I suspect that the circuit breaker triggered this error, but I need to confirm it through telemetry data.

3. Correlate Abnormal Memory Usage with Logs

A high memory usage issue was found on a certain host.
Please obtain detailed information about this problem and retrieve relevant logs to help identify the cause of the memory spike.
Can you determine which file in the current codebase this is related to?

4. Perform Request Flow Analysis

Our users are experiencing slow checkout processes.
Please execute the following DQL query to display the complete request trace of the entire checkout process so that I can identify the specific service causing the bottleneck.

5. Retrieve Kubernetes Cluster Events

Our application deployments seem to be failing intermittently.
Can you retrieve the recent events of the "production-cluster" to help identify the root cause of these deployment failures?

✨ Features

Real-time Observation: Obtain the latest status data of applications, services, and infrastructure.
Problem Diagnosis: Identify and analyze abnormal situations in the production environment.
Automated Operations: Implement automated运维 operations through workflows and notification tools (such as Slack).

📚 Documentation

Environment Configuration

Install Dependencies:
- Use Node.js to install all the dependencies of the MCP plugin.
Write Code:
- Implement the core functions of the MCP server in index.js, including interacting with the Dynatrace API and executing workflows.
Test:
- Test all functional modules in the development environment to ensure they work properly.

Usage Examples

Enable GitHub Copilot in VSCode and add the MCP plugin to your project. By writing custom scripts or directly using the commands provided by the plugin, you can easily interact with the production environment and trigger automated operations.

📄 Notes

This product is not currently officially supported by Dynatrace.
For feature suggestions, question answers, or technical support, please contact us via GitHub Issues.