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Dynatrace MCP Server

By Dynatrace · MCP server · www.dynatrace.com

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 workflows Query Dynatrace Grail data using natural language Retrieve problem details, vulnerabilities, exceptions, and Kubernetes events Analyze anomalies and forecast time series data Enable AI-powered troubleshooting and debugging Automate workflows with production data Secure and governed access to Dynatrace platform data

Assessment

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

Enterprise

Custom

Contact vendor

Integrations

Key integrations:

GitHub Copilot Microsoft Copilot Claude Slack n8n Atlassian Rovo Azure SRE AWS DevOps Amazon Kiro Google Gemini CLI

Available on: n8n

Traction & Reception

GitHub: 70 stars

Overall sentiment: Mixed

Recurring themes from reviews:

  • Strong integration with Dynatrace observability
  • Easy setup and real-time insights
  • Lacks documentation on prompts, resources, roots, and sampling
  • Good for AI workflow integration
  • Costs depend on Dynatrace Grail query volume

Cite this work

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, Tyler. "Dynatrace MCP Server." *AI & Automation Tools*, tylerewillis.com/intelligence, accessed June 12, 2026. <https://tylerewillis.com/intelligence/tools/dynatrace-mcp-server>
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.}
}
curl -s https://tylerewillis.com/intelligence/api/tools/dynatrace-mcp-server.json | jq

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.