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How to Use the Dynatrace (APM and Observability) MCP in Mastra AI

Build self-healing TypeScript workflows that query Dynatrace and execute corrective actions using this MCP Server with Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Dynatrace (APM and Observability) MCP to Mastra AI

Create your Vinkius account to connect Dynatrace (APM and Observability) to Mastra AI 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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Automate incident remediation steps

`list_problems` identifies active system degradations and triggers your Mastra AI workflow. The agent analyzes the problem details, then determines the exact services affected by querying their current performance state. If the anomaly matches a known transient issue, the workflow calls `close_problem` to clear the alert automatically. Mastra handles retries if the API call fails, ensuring your self-healing scripts run reliably.

Chain synthetic verification steps

`create_synthetic_monitor` sets up temporary endpoints to test new canary deployments in your staging environment. Mastra AI coordinates this setup as part of your deployment workflow, waiting for the infrastructure to stabilize. The workflow then triggers `trigger_synthetic_batch` and waits for the results. If the tests fail, Mastra branches the workflow to notify your team and tears down the monitor using `delete_synthetic_monitor`.

Manage anomaly detection via Mastra AI MCP Server

`get_anomaly_detection_hosts` retrieves the current alerting thresholds for your infrastructure. Your agent reviews these settings against historical load patterns to find misconfigured alert rules. It then uses `list_settings_objects` to adjust the sensitivity of your monitoring profiles. This keeps your alerting rules aligned with actual usage patterns without manual tuning.

Setup guide

Set up Dynatrace (APM and Observability) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Dynatrace (APM and Observability) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dynatrace-apm-and-observability-mcp-client",
  servers: {
    "dynatrace-apm-and-observability-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Dynatrace (APM and Observability) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Dynatrace (APM and Observability) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Dynatrace (APM and Observability) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dynatrace. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dynatrace (APM and Observability) MCP in Mastra AI

Instantiate the `MCPClient` with your Vinkius MCP server URL. Spread the tools returned by `listTools` directly into your Mastra agent configuration block.
Yes, Mastra's built-in workflow engine uses automatic retries with exponential backoff. If a call to `close_problem` or `ingest_events` drops, the workflow pauses and retries.
Use `query_metrics` to fetch current performance data inside a Mastra step. You can branch your workflow based on the returned values to scale up resources or trigger alerts.
Yes, you can use `create_account_policy` and `update_account_group_permissions` to automate onboarding. Mastra agents can audit and adjust permissions based on your team directory.
The server accesses your environment's metric telemetry, synthetic configurations, and user account metadata. Vinkius isolates this data inside ephemeral sandboxes, ensuring your Mastra AI workflows only interact with the API through secure, single-token endpoints.

Start using the Dynatrace (APM and Observability) MCP today

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Built & Managed by Vinkius 30s setup 37 tools

We've already built the connector for Dynatrace (APM and Observability). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 37 tools are live and waiting. You're up and running in seconds.

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