Investigate production issues from Cursor with the Dynatrace plugin
Dynatrace has launched a verified plugin in the Cursor Marketplace that connects the code editor directly to live Dynatrace environments using the Model Context Protocol (MCP). The…
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Dynatrace Intelligence
11 articles
Query Dynatrace Managed data directly in Claude, AWS Kiro, GitHub Copilot, and other MCP-compatible clients
The Dynatrace Managed MCP Server is a protocol adapter that allows AI assistants, such as Claude Desktop and GitHub Copilot, to access and query self-hosted Dynatrace Managed data …
Orchestrate multicloud AI agents for autonomous incident resolution
Dynatrace’s Cloud SRE Agents app provides a unified orchestration layer that integrates AWS, Azure, and Google Cloud AI agents to automate incident investigation and resolution acr…
Port and Dynatrace: One-prompt incident triage with the Dynatrace MCP Server
The new Dynatrace MCP Server integration enables Port AI to correlate live production data from Dynatrace with signals from GitHub, Slack, and the Port service catalog. This allows…
Dynatrace MCP Server for Atlassian Rovo: Investigate production problems without leaving Jira or JSM
The Dynatrace MCP Server for Atlassian Rovo enables developers and on-call engineers to investigate production issues directly within Jira and JSM using plain language via an AI ag…
Dynatrace for AI: Teach your AI coding agent how to use Dynatrace
Dynatrace for AI is an open-source collection of agent skills and prompt templates designed to equip AI coding assistants with the domain expertise required to work accurately with…
Dynatrace AI agents begin working for you on day one, and are built to grow with you
Dynatrace is releasing ready-made AI agents designed to proactively address operational issues for developers, SREs, and IT operations teams – going beyond generic AI to offer task…
Bring real-time production insights into Claude Code with the Dynatrace MCP Server
This article details how to connect Anthropic’s Claude Code with Dynatrace using the Dynatrace MCP Server, enabling AI-powered troubleshooting and data analysis directly within Cla…
Observe API responses to runtime behavior: Connect Postman’s Agent Mode with Dynatrace
Postman and Dynatrace have partnered to integrate real-time observability data into API workflows with Postman’s Agent Mode. This allows developers to go beyond basic API validatio…
Dynatrace Release Radar 01.26
This article summarizes recent updates to the Dynatrace platform, focusing on improvements to accelerate service troubleshooting and enhance cloud observability. Key additions incl…
Fueling visual insights with MCP applications for complex data analysis
This article introduces new UI capabilities for Dynatrace’s Model Context Protocol (MCP) applications, allowing developers to visualize data directly within their IDEs and AI assis…