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

Q: How do I stream Dynatrace (APM and Observability) metrics in Vercel AI SDK?

Call querymetrics inside your streamText function. Pass the tools array from the Vinkius MCP client directly into your model call. The telemetry data streams straight to your React components.

Q: Can I trigger synthetic monitors from a Vercel AI SDK edge function?

Yes, you can run triggersyntheticbatch within edge runtimes. The Vinkius MCP Server connection uses standard HTTP transport, which avoids Node-specific dependencies. Your edge function stays fast and lightweight.

Q: Can my users close active incidents directly from my custom UI?

Yes, your agent can invoke closeproblem to resolve issues from your custom frontend. You just need to expose that tool to the Vercel AI SDK client in your backend route.

Feed live Dynatrace infrastructure telemetry and active problem statuses directly into your React UI using the Vercel AI SDK.

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Connect Dynatrace (APM and Observability) MCP to Vercel AI SDK

Create your Vinkius account to connect Dynatrace (APM and Observability) to Vercel AI SDK 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 Vercel AI SDK

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Stream active telemetry to your frontend

`query_metrics` pulls raw time-series data from your infrastructure and sends it straight to your user-facing dashboard. Your Vercel AI SDK client renders these data points as they arrive, cutting out loading spinners entirely. You can also run `list_problems` to show active incidents on your custom status page. Because the SDK handles streaming natively, users watch the incident feed populate line-by-line as your agent fetches the details.

Run synthetic tests from your browser console

`trigger_synthetic_batch` kicks off immediate synthetic monitor executions directly from your frontend app. Developers can force a test run during a deployment and watch the execution state change in real-time. The agent checks the progress using `list_synthetic_executions` to verify performance. This integration makes it simple to build custom internal portals where team members trigger and verify test suites without opening the full console.

Modify dashboards using this MCP Server

`update_dashboard` lets your agent alter layout configurations based on current incident severity. When a critical alert fires, the Vercel AI SDK client updates the team's shared view to highlight the failing services. The agent can also run `create_dashboard` to instantly spin up temporary debugging views for active incidents. This keeps your SRE team focused on the exact metrics causing the outage without manual setup.

Setup guide

Set up Dynatrace (APM and Observability) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Dynatrace (APM and Observability) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Dynatrace (APM and Observability) transactions",
});

console.log(text);
await mcpClient.close();

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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.

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

Call `query_metrics` inside your `streamText` function. Pass the tools array from the Vinkius MCP client directly into your model call. The telemetry data streams straight to your React components.

Yes, you can run `trigger_synthetic_batch` within edge runtimes. The Vinkius MCP Server connection uses standard HTTP transport, which avoids Node-specific dependencies. Your edge function stays fast and lightweight.

The server manages API throttling behind the scenes. If your agent calls `list_entities` or `list_problems` repeatedly during a heavy incident, the Vinkius gateway queues requests to prevent token exhaustion.

Yes, your agent can invoke `close_problem` to resolve issues from your custom frontend. You just need to expose that tool to the Vercel AI SDK client in your backend route.

Vinkius runs this server inside an isolated V8 sandbox. Your API tokens and credential profiles never touch the browser or the Vercel AI SDK client code. The server only exposes specific tools like `list_metrics` to the LLM.

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