Dynatrace: MCP server, setup and security

What Dynatrace does

According to its repository: “Connect AI assistants to Dynatrace to query observability data and analyze problems.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Dynatrace is listed under Monitoring and observability, a category of 57 servers in the directory, where it ranks #10 by stars.

Topics declared by the repository: agent-skills, ai-agents, claude-code, devops, dql, dynatrace.

Installing and connecting Dynatrace

Distribution modes declared in the official MCP registry:

• remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: JavaScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Dynatrace. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 31, 2026, the Dynatrace/dynatrace-for-ai repository has 167 stars and 37 forks, with 7 open issues. It has more stars than 75% of the servers in the directory. It received changes this month. Version published in the registry: 7.0.0 (August 31, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.