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Dynatrace MCP

Observability problems, logs, metrics and traces for AI agents

MonitoringFreeClaude DesktopCursorVS CodeModerate✓ Verified
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Last verified: September 20, 2026

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Maintenance status

Archived
Last code update: August 26, 2026License: MITChecked September 28, 2026

The maintainers have archived this repository (read-only, no longer updated).

How to Install Dynatrace MCP

$npx -y @dynatrace-oss/dynatrace-mcp-server

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "dynatrace-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dynatrace-oss/dynatrace-mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "dynatrace-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dynatrace-oss/dynatrace-mcp-server"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "dynatrace-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dynatrace-oss/dynatrace-mcp-server"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add dynatrace-mcp -- npx -y @dynatrace-oss/dynatrace-mcp-server

Add any API keys or environment variables the server's README lists.

About Dynatrace MCP

The Dynatrace MCP server exposes problem records with automated root cause analysis, logs, metrics, distributed traces and entity relationships to AI agents, aimed at faster incident explanation and triage. For dashboards and Prometheus or Loki queries, connect Grafana to Claude.

Dynatrace MCP is a Monitoring MCP server designed for developers and AI power users. It enables extending AI assistants with real-world capabilities by exposing a structured set of tools over the Model Context Protocol. Key capabilities include standards-based mcp server interface, works with claude, gpt, gemini, and other mcp clients, tool discovery and structured outputs, and structured tool calls that work cleanly inside an LLM context. It integrates with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client, and is best suited for developers and AI power users who need ai engineers wiring assistants into real tools.

Key Features

  • observability
  • monitoring
  • tracing
  • incident-response
  • Standards-based MCP server interface
  • Works with Claude, GPT, Gemini, and other MCP clients

Pricing

Free: from Free (Dynatrace account required)

Pros & Cons

Pros

  • Drop-in support across MCP-compatible AI clients
  • Reduces prompt boilerplate by exposing concrete tool calls
  • Active community and ongoing updates

Cons

  • Requires an MCP-capable client to use
  • Initial setup can require configuration
  • Capability surface depends on what the underlying service exposes

Best For

  • AI engineers wiring assistants into real tools
  • Teams adopting MCP as an integration standard
  • Power users who want more than chat

Our Take on Dynatrace MCP

Brings observability problems, logs, metrics and traces into an agent's context, which is where it pays off during incident triage. Requires an existing Dynatrace tenant.

Frequently Asked Questions

Tags

#Monitoring#observability#monitoring#tracing#incident-response