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How to Use the Vertiv Environet MCP in Vercel AI SDK

Display live, streaming sensor data and alerts directly in your UI using Vercel AI SDK.

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…and any MCP-compatible client

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Connect Vertiv Environet MCP to Vercel AI SDK

Create your Vinkius account to connect Vertiv Environet 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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Show Real-Time Sensor Data

Use `get_sensor_reading` to grab the current temperature or humidity from a specific asset. Since results stream into your Next.js app, users see the data update live, without hitting a loading spinner. You can pair this with `get_sensors` first; it lists all available monitoring points so you know exactly which sensor ID to pass into the reading function.

Display Active Alerts Live

When critical alarms pop up, use `get_active_alerts`. You can filter this by severity—Critical or Major—to show only what needs immediate attention. This data streams instantly to the user's dashboard. If you need to check a specific facility first, just run `get_sites` and pass that ID into your alert query.

Audit User Actions in Real-Time

For compliance dashboards, the `get_user_activity` tool lets you fetch audit logs of who did what. This data streams directly to the frontend, letting users see user actions as they happen. This is useful for tracking changes made via `update_threshold`, showing exactly which user changed the safety limit and when.

Setup guide

Set up Vertiv Environet 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Vertiv Environet tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Vertiv Environet transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vertiv Environet Alert. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about Vertiv Environet MCP in Vercel AI SDK

Start by calling `get_system_health` to confirm the platform is up. Then, use `get_active_alerts` to pull any current warnings. Displaying this live gives your users immediate visibility into data center risks.
Yeah, you use `get_alert_history`. You pass in an optional site ID and a limit to view records. This is perfect for root cause analysis dashboards where the user wants to see trends over time.
The server handles environmental sensor readings, alert IDs, and audit log records. You can stream these different types of data into your client's UI to build a complete picture of the facility's status.
First, run `get_sites` to get the site ID. Then, you pass that site ID into `get_sensors`. That lists every monitoring point deployed across the facility so your client can display them.
Use `get_thresholds` to view current safety limits for any sensor. If you need to adjust them based on seasonal needs, you can call `update_threshold` and then stream the new configuration details back to the user.

Start using the Vertiv Environet MCP today

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