Dynatrace Mcp vs Observability AIops

In-depth architectural comparison of the Dynatrace Mcp and Observability AIops MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Dynatrace Mcp when:

• You need dedicated capabilities in the Monitoring domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: OAuth 2.0 (BYOK (Pay Provider Direct)).
• You have access to required keys: DT_ENVIRONMENT, DT_MCP_TOKEN_STORAGE.
• Primary tools included: AI-powered DQL generation and explanation, Browser-based OAuth Authorization Code Flow authentication, Token storage in OS keychain or file system.

Explore Dynatrace Mcp Details

O

Choose Observability AIops when:

• You need dedicated capabilities in the Monitoring domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Observability AIops Details

Feature & Specification Comparison

Specification	Dynatrace Mcp dynatrace-oss Monitoring	O Observability AIops Monitoring
Summary	Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.	Governed Prometheus + Grafana ops: PromQL, alerts, dashboards, RCA; 30 tools.
Category & Scope	Monitoring	Monitoring

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "dynatrace-oss-dynatrace-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dynatrace-oss/dynatrace-mcp-server"
      ],
      "env": {
        "DT_ENVIRONMENT": "YOUR_DT_ENVIRONMENT_HERE",
        "DT_MCP_TOKEN_STORAGE": "YOUR_DT_MCP_TOKEN_STORAGE_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "observability-aiops": {
      "command": "npx",
      "args": [
        "-y",
        "observability-aiops"
      ]
    }
  }
}

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