The Dynatrace MCP Server integrates observability and monitoring tools into AI workflows, providing real-time production insights and secure access to Dynatrace data. It supports natural language querying, anomaly detection, forecasting, and agentic workflows by connecting AI agents to Dynatrace platform data via the Model Context Protocol (MCP).
Integrate real-time observability and monitoring into AI workflowsQuery Dynatrace Grail data using natural languageRetrieve problem details, vulnerabilities, exceptions, and Kubernetes eventsAnalyze anomalies and forecast time series dataEnable AI-powered troubleshooting and debuggingAutomate workflows with production dataSecure and governed access to Dynatrace platform data
Maintained by Tyler Willis · AI & Automation Tools · Updated · CC-BY-4.0 — cite this work
Proprietary scoring across three dimensions: how capable the tool is vs peers, how valuable it is specifically for marketing-agency and SMB clients, and how much it threatens to commoditize independent consulting work.
7/100
Capability
7/100
Agency Value
3/100
Consultant Threat
Commoditization risk: Medium
Acquisition risk: Low
Capabilities
Each capability is verified against current documentation and review data. Unknown = not confidently determined yet.
Agent Workflows · Yes
Multi-Agent · Unknown
MCP Server · Yes
Memory · Unknown
RAG · Unknown
Voice · Unknown
Vision · Unknown
Code Execution · Yes
Human-in-Loop · Unknown
Real-Time · Yes
Fine-Tuning · Unknown
Public API · Yes
Webhooks · Yes
Pricing
Model: Custom. Last verified Jun 8, 2026.
Tier
Price
Details
Free
Free
Local MCP server is free; usage of Dynatrace Grail queries may incur additional costs based on volume scanned
This entry is part of the Tyler Willis Intelligence public dataset
and licensed under CC-BY-4.0.
You're free to quote, redistribute, and feed it into AI systems — please carry the source URL or one of the citation strings below.
Willis, T. (2026). Dynatrace MCP Server. Tyler Willis Intelligence — AI & Automation Tools. Retrieved June 12, 2026, from https://tylerewillis.com/intelligence/tools/dynatrace-mcp-server
@misc{willis_tools_dynatrace_mcp_server,
author = {Willis, Tyler},
title = {{Dynatrace MCP Server}},
howpublished = {Tyler Willis Intelligence --- AI & Automation Tools},
year = {2026},
url = {https://tylerewillis.com/intelligence/tools/dynatrace-mcp-server},
note = {Accessed June 12, 2026. CC-BY-4.0.}
}
Every JSON response carries a _source block with the canonical URL and citation string.
Programmatic consumers: read that field.
From the Maintainer
I implement Dynatrace MCP Server for clients.
If you want Dynatrace MCP Server built into your business or your agency's stack — wired into your existing tools, with a real workflow on top — that's the consulting work. Direct conversation, no junior team, senior execution.