AI Agent for Dynatrace MCP
Integrate real-time observability and AI-powered troubleshooting directly into your development workflow with the Dynatrace MCP Server. Effortlessly fetch production-level metrics, analyze security vulnerabilities, execute Dynatrace Query Language (DQL), and receive actionable insights—all from your IDE or CLI. Empower your team to debug, monitor, and automate incident response with seamless access to the Dynatrace observability platform.
Real-Time Observability & Proactive Monitoring
Leverage real-time data from Dynatrace to detect issues early, monitor system health, and analyze critical incidents directly within your preferred development tools. Instantly access logs, metrics, events, and problem reports to ensure high reliability and rapid response to production anomalies.
- Fetch Real-Time Data.
- Access live production metrics, logs, and events for instant analysis and troubleshooting.
- Proactive Problem Detection.
- Identify exceptions and anomalies early with contextual debugging and automated alerts.
- Security Insights.
- Get detailed vulnerability analysis and monitor active threats within your stack.
- Natural Language Queries.
- Use AI-powered DQL generation and explanations to simplify complex data queries.
AI-Powered Troubleshooting & Automation
Accelerate your incident response with Davis CoPilot AI: Convert plain English to DQL, understand complex queries, and automate workflows including Slack notifications and problem ownership assignment—all from a single interface.
- Natural Language to DQL.
- Instantly convert English queries into executable Dynatrace Query Language for deeper analysis.
- DQL Explanation.
- Receive plain English explanations for complex DQL statements, making data accessible to everyone.
- Automated Workflows.
- Trigger notifications and actions, such as Slack alerts and remediation steps, with simple commands.
Seamless Integration & Secure Access
Easily connect Dynatrace observability to your IDEs, CLIs, and automation pipelines. Enjoy secure OAuth or token-based authentication and granular access controls, ensuring your data stays protected while enabling productive development.
- Secure Authentication.
- Support for OAuth clients and platform tokens with granular scope-based permissions.
- Multi-Platform Support.
- Integrate seamlessly with VS Code, Claude, Cursor, Amazon Q Developer CLI, and more.
- Rapid Setup.
- Quick configuration using JSON or environment variables for instant connectivity.
MCP INTEGRATION
Available Dynatrace MCP Integration Tools
The following tools are available as part of the Dynatrace MCP integration:
- list_problems
List all current problems detected in your monitored services for real-time issue tracking.
- get_problem
Retrieve detailed information about a specific problem by its ID, including root cause and impact.
- list_security_problems
List all open security problems and vulnerabilities detected in your environment.
- get_security_problem
Get complete details for a specific security problem or vulnerability by its identifier.
- execute_dql
Run DQL (Dynatrace Query Language) queries to fetch logs, events, spans, metrics, and other observability data.
- get_entity
Obtain detailed information about a monitored entity, such as a service, host, or process.
- get_ownership
Retrieve ownership information for a given entity to identify responsible teams or individuals.
- send_slack_message
Send notifications or messages to Slack channels using the Slack Connector integration.
- setup_workflow_notification
Configure automated notifications via Dynatrace AutomationEngine workflows.
- nl2dql
Convert natural language queries into Dynatrace Query Language (DQL) statements using AI assistance.
- dql2nl
Translate DQL queries into plain English explanations for easier understanding.
- chat_assistant
Access an AI-powered assistant for contextual help, guidance, and troubleshooting in Dynatrace.
Bring Dynatrace Observability to Your Workflow
Experience real-time monitoring, AI-powered insights, and seamless debugging in your IDE with Dynatrace MCP Server. Book a demo or try it free to enhance your development workflow with actionable observability data.
What is Dynatrace
Dynatrace is an American multinational technology company specializing in software intelligence and observability solutions. Their platform leverages advanced AI and automation to deliver real-time monitoring, analytics, and insights across cloud environments, applications, infrastructure, and user experiences. Dynatrace helps organizations optimize performance, ensure reliability, and accelerate innovation by providing deep observability into every layer of modern technology stacks. With end-to-end visibility, automated problem detection, and precise root cause analysis, Dynatrace empowers enterprises to manage complex IT environments efficiently and at scale.
Capabilities
What we can do with Dynatrace
Dynatrace provides a unified observability platform that allows users to monitor application performance, detect anomalies, automate issue remediation, and gain AI-powered insights across cloud-native and hybrid environments. The platform is designed for developers, IT operations, and business teams to collaborate efficiently and ensure optimal digital experiences.
- Full-stack Monitoring
- Monitor every layer of your application and infrastructure, from backend to frontend.
- Automatic Root Cause Analysis
- Leverage AI to automatically detect and explain the root causes of issues.
- Cloud Automation
- Automate cloud operations and incident remediation with intelligent workflows.
- Real User Monitoring
- Gain deep insights into real user behavior and experiences.
- End-to-End Security
- Integrate application security monitoring for proactive threat detection.
How AI Agents Benefit from Dynatrace
AI agents and automation tools can significantly benefit from Dynatrace’s platform by leveraging its AI-driven insights for proactive decision-making and remediation. By integrating with Dynatrace, AI agents can automatically detect anomalies, trigger automated workflows, and optimize resource usage in real time, reducing manual effort and improving system reliability. Dynatrace’s detailed data feeds also enhance the capabilities of AI models in monitoring, alerting, and predictive analytics.