How to Use the Gridscale (IaaS & PaaS Cloud Hosting API) MCP in Vercel AI SDK

Q: Can Vercel AI SDK users see Gridscale (IaaS & PaaS Cloud Hosting API) metrics?

Yes, you can stream the output of getservermetrics directly to the client. This allows for live updates in your UI components.

Stream your Vercel AI SDK infrastructure data directly into your frontend components for real-time cloud management.

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Connect Gridscale (IaaS & PaaS Cloud Hosting API) MCP to Vercel AI SDK

Create your Vinkius account to connect Gridscale (IaaS & PaaS Cloud Hosting API) 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 Gridscale (IaaS & PaaS Cloud Hosting API) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live Server Monitoring

Feed your UI live metrics by piping `get_server_metrics` straight into your React or Next.js state. You don't wait for spinners here; the data hits the browser as soon as the API responds. Your users see their resource usage update in real-time. It's the fastest way to build a dashboard that feels like a native part of your application.

Provision Infrastructure on Demand

Trigger `create_server` inside an Edge Function to spin up resources based on user interaction. You handle the logic in your frontend and let the MCP Server execute the heavy lifting. It removes the need for custom backends just to manage your cloud footprint. Your code stays clean and your users get instant results.

Automated Lifecycle Control

Use `set_server_power` and `shutdown_server` to manage compute states from your interface. It gives your users direct control over their environment without them ever needing to touch a management console. This makes your app the single source of truth for their hosting. You stop switching tabs and keep the focus where it belongs.

Setup guide

Set up Gridscale (IaaS & PaaS Cloud Hosting API) 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 Gridscale (IaaS & PaaS Cloud Hosting API) 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 Gridscale (IaaS & PaaS Cloud Hosting API) transactions",
});

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

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Why Choose Vinkius

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

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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 Gridscale (IaaS & PaaS Cloud Hosting API) MCP in Vercel AI SDK

Install the MCP client packages and point them to your Vinkius endpoint. You'll pass the tools into your generateText call to start interacting with your infrastructure.

Yes, you can stream the output of `get_server_metrics` directly to the client. This allows for live updates in your UI components.

The connection is ephemeral and handled via secure tokens. Your credentials stay isolated within the Vinkius sandbox.

You handle the error in your standard try-catch blocks within your backend route. The stream will terminate gracefully and you can display an alert to the user.

It accesses your server names, power states, and resource identifiers. Everything is encrypted in transit and never stored by the underlying protocol.

Use it with your favorite AI tools

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