Dynatrace MCP Server

Dynatrace MCP Server MCP Server

This MCP Server allows interaction with the Dynatrace observability platform, brining real-time observability data directly into your development workflow.

What is an MCP Server?⁠

Characteristics

Attribute	Details
Docker Image	mcp/dynatrace-mcp-server⁠
Author	dynatrace-oss⁠
Repository	https://github.com/dynatrace-oss/dynatrace-mcp⁠
Dockerfile	https://github.com/dynatrace-oss/dynatrace-mcp/blob/main/Dockerfile⁠
Docker Image built by	Docker Inc.
Docker Scout Health Score
Verify Signature	COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/dynatrace-mcp-server --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub
Licence	MIT License

Available Tools (16)

Tools Details

Tool: chat_with_davis_copilot

Use this tool in case no specific tool is available. Get an answer to any Dynatrace related question as well as troubleshooting, and guidance. (Note: Davis CoPilot AI is GA, but the Davis CoPilot APIs are in preview)

Tool: create_workflow_for_notification

Create a notification for a team based on a problem type within Workflows in Dynatrace

Tool: execute_dql

Get Logs, Metrics, Spans or Events from Dynatrace GRAIL by executing a Dynatrace Query Language (DQL) statement. It's recommended to use "verify_dql" tool before you execute a DQL statement. A valid statement looks like this: "fetch [logs, spans, events] | filter | summarize count(), by:{some-fields}. Adapt filters for certain attributes: traceId could be trace_id or trace.id.

Tool: explain_dql_in_natural_language

Explain Dynatrace Query Language (DQL) statements in natural language using Davis CoPilot AI.

Tool: find_entity_by_name

Get the entityId of a monitored entity based on the name of the entity on Dynatrace

Tool: generate_dql_from_natural_language

Convert natural language queries to Dynatrace Query Language (DQL) using Davis CoPilot AI. You can ask for problem events, security issues, logs, metrics, spans, and custom data.

Tool: get_entity_details

Get details of a monitored entity based on the entityId on Dynatrace

Tool: get_environment_info

Get information about the connected Dynatrace Environment (Tenant)

Tool: get_kubernetes_events

Get all events from a specific Kubernetes (K8s) cluster

Tool: get_logs_for_entity

Get Logs for a monitored entity based on name of the entity on Dynatrace

Tool: get_ownership

Get detailed Ownership information for one or multiple entities on Dynatrace

Tool: list_problems

List all problems (dt.davis.problems) known on Dynatrace, sorted by their recency, for the last 12h. An additional filter can be provided using DQL filter.

Tool: list_vulnerabilities

List all non-muted vulnerabilities from Dynatrace for the last 30 days. An additional filter can be provided using DQL filter.

Tool: make_workflow_public

Modify a workflow and make it publicly available to everyone on the Dynatrace Environment

Tool: send_slack_message

Sends a Slack message to a dedicated Slack Channel via Slack Connector on Dynatrace

Tool: verify_dql

Verify a Dynatrace Query Language (DQL) statement on Dynatrace GRAIL before executing it. This step is recommended for DQL statements that have been dynamically created by non-expert tools. For statements coming from the generate_dql_from_natural_language tool as well as from documentation, this step can be omitted.

Use this MCP Server

{
  "mcpServers": {
    "dynatrace-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DT_ENVIRONMENT",
        "-e",
        "OAUTH_CLIENT_ID",
        "-e",
        "OAUTH_CLIENT_SECRET",
        "mcp/dynatrace-mcp-server"
      ],
      "env": {
        "DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com",
        "OAUTH_CLIENT_ID": "dt0s02.SAMPLE",
        "OAUTH_CLIENT_SECRET": "dt0s02.SAMPLE.abcd1234"
      }
    }
  }
}

Why is it safer to run MCP Servers with Docker?⁠