How to Use the Dynatrace (APM and Observability) MCP in Claude Code

Q: How do I run Dynatrace (APM and Observability) with Claude Code?

Use the command claude mcp add --transport http -- in your terminal. This registers the server and makes all 37 tools available for your scripts.

Claude Code provides headless observability in the terminal, connecting Dynatrace (APM and Observability) to your CI/CD pipelines.

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Connect Dynatrace (APM and Observability) MCP to Claude Code

Create your Vinkius account to connect Dynatrace (APM and Observability) to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dynatrace (APM and Observability) with Claude Code

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Terminal-based problem resolution for Claude Code

Use `list_problems` and `get_problem` to fetch incident details directly in your shell. This allows you to build bash scripts or cron jobs that react to infrastructure alerts without a browser. You can automate the incident response by piping the output of these tools into `close_problem`. It is designed for SREs who prefer command-line speed over dashboard navigation.

Claude Code automates metric collection

Query your telemetry data using `list_metrics` and `query_metrics` to feed your own analysis tools. This is ideal for generating automated performance reports during your deployment process. It handles custom metric ingestion via `ingest_metrics` using the line protocol. You can integrate this into your CI/CD flow to track performance regressions automatically.

Account configuration via Claude Code

Manage your team's access by calling `list_account_users` and `update_account_group_permissions`. You can audit your security posture and apply changes programmatically through the CLI. It also supports `create_account_user` and `create_account_policy` for automated onboarding. Claude Code executes these administrative tasks with the same precision as your data queries.

Setup guide

Set up Dynatrace (APM and Observability) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see dynatrace-apm-and-observability-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Dynatrace (APM and Observability) transactions." It will automatically discover and invoke the available Dynatrace (APM and Observability) tools.

Terminal

claude mcp add --transport http dynatrace-apm-and-observability-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Dynatrace (APM and Observability) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "dynatrace-apm-and-observability-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Dynatrace (APM and Observability) MCP in Claude Code

Use the command `claude mcp add --transport http -- ` in your terminal. This registers the server and makes all 37 tools available for your scripts.

Yes. Because it runs in the terminal, you can include tool calls in your GitHub Actions or custom shell scripts to verify performance before merging code.

It does. Every tool returns structured data, which you can pipe into other utilities like `jq` to parse metrics, problems, or entity lists.

The server uses Vinkius's zero-trust sandbox. Your API keys are never stored locally and are managed through an ephemeral session token.

It exposes your infrastructure telemetry, user group configurations, and synthetic monitor results. The server only accesses these when you explicitly invoke a tool.

Use it with your favorite AI tools

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