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3. Demo

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This Codespace leverages the Dynatrace Enablement Framework, providing a robust and flexible development environment. Key features include:

  • Seamless operation within GitHub Codespaces, as a remote container, or locally via Docker.
  • Cross-compilation support for both AMD and ARM architectures, ensuring broad compatibility.
  • Adherence to industry standards and best practices to optimize the developer experience.
  • Real-time observability of Kubernetes clusters using Dynatrace Full-Stack monitoring.
  • Integrated Dynatrace MCP Server to deliver deep, actionable insights across distributed systems.

To learn more about the Dynatrace Enablement Framework and how it can enhance your development workflow, please refer to the official documentation

Welcome! This guide will walk you through connecting to the MCP server and starting your analysis with the AI agent.

Step 1:Connecting the MCP Server#

Steps to establish an MCP Server Connection

  • On the IDE go to the left pane > Extensions > MCP Servers Installed > dynatrace-mcp-server
  • Open dynatrace-mcp-server click on the configuration wheel > Start server
  • The server should start, it'll read the environment file located in .devcontainer/runlocal/.env and will read the variable DT_ENVIRONMENT
  • In the Server output (click on Show Output in the configuration wheel )
  • A link for the SSO authentication should open automatically (if not then click on it).
  • you should see a prompt like "✅ Successfully retrieved token from SSO!" now let the agents communicate with the environment.

Connect to another environment

  • There is a comfort function that helps you set the DT_ENVIRONMENT variable called selectEnvironment.
  • Type selectEnvironment in the terminal, select an environment or enter your own environment.
  • Restart the MCP Server by going to Extensions > MCP Servers Installed > dynatrace-mcp-server > restart server

Step 2: Start Chatting with the Agent#

After successfully connecting to the MCP server, you can now interact with the AI agent!

The agent has access to:

  • Code Analysis: Analyze the application code in this repository
  • Dynatrace Insights: Query logs, metrics, traces, and events from the monitoring tenant
  • Davis CoPilot: Get intelligent recommendations and problem analysis
  • Observability Data: Access real-time monitoring data and application behavior

Ask the agent what can you do with the MCP Server

A very useful question is to ask the agent what can you do with Dynatrace's MCP Server. The MCP Server is pulling from latest meaning every week you'll get more features. In order to check the latest stand, just ask the agent and it'll give you a comprenhensive list of what you can do depending on the tools installed at that time.

Practical examples based on the Unguard application context

  • 🔍 Security & Vulnerability Analysis

    • "Do I have security vulnerabilities in my code?"
    • "Show me all SQL injection vulnerabilities in the membership-service"
    • "Are there any SSRF vulnerabilities in the proxy-service?"
    • "Check for JWT key confusion issues in the user-auth-service"
    • "List all command injection vulnerabilities across all services"

  • 📊 Performance & Monitoring

    • "What are the current performance metrics for the frontend service?"
    • "Show me response times for the ad-service over the last hour"
    • "Are there any slow database queries in the microblog-service?"
    • "What's the memory usage trend for the payment-service?"
    • "Show me error rates for all services in the last 24 hours"

  • 🚨 Problem Detection & Analysis

    • "What problems are currently detected in my Dynatrace environment?"
    • "Are there any critical issues affecting the user experience?"
    • "Show me recent error logs from the like-service"
    • "What are the top 5 problems by impact score?"
    • "Are there any service outages or failures?"

  • 🏗️ Infrastructure & Deployment

    • "What services are currently deployed in my environment?"
    • "Show me the architecture of the Unguard application"
    • "Are all microservices healthy and running?"
    • "What's the deployment status of the malicious-load-generator?"
    • "Show me Kubernetes pod status for all services"

  • 📝 Code Analysis & Recommendations

    • "Analyze the security of the profile-service Java code"
    • "Review the PHP code in like-service for vulnerabilities"
    • "Check the Python payment-service for security issues"
    • "Analyze the Go status-service for potential problems"
    • "Review the .NET membership-service code quality"

  • 🔗 Correlation & Insights

    • "Correlate security vulnerabilities with runtime problems"
    • "Show me how code vulnerabilities affect application performance"
    • "Link security findings with observability data"
    • "Connect code issues to user experience problems"

  • 📋 Remediation & Fixes

    • "Generate a security remediation summary for the fixes"
    • "Show me the changes needed to fix SQL injection in profile-service"
    • "Create an executive summary of security fixes with impacted infrastructure"
    • "Provide step-by-step remediation for the top vulnerabilities"

  • 🛠️ Tool & Capability Discovery

    • "What tools are installed in the Dynatrace MCP server?"
    • "What can I do with the available MCP tools?"
    • "Show me all available Dynatrace integrations"
    • "What monitoring capabilities do I have access to?"

Step 3: Explore and Analyze#

You're all set! Start exploring the codebase and monitoring data. The agent will help you understand the application, identify issues, and get insights from Dynatrace.

You'll find the source code of the unguard application in the folder unguard. The original source code is hosted here: https://github.com/dynatrace-oss/unguard

Connect to another Dynatrace environment

If you want to conect to another Dynatrace Environment/MCP Server, just type in the terminal selectMcpServer