How to Use the UpCloud MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle complex billing lookups from UpCloud?

Yes. You can call getbillingsummary through your agent client. The stream will deliver the monthly summary figures, letting you build a dashboard that displays up-to-the-minute financial data.

See Cloud Status Live: Stream Real-Time Infrastructure Data with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect UpCloud MCP to Vercel AI SDK

Create your Vinkius account to connect UpCloud 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.

GDPR Free for Subscribers

Setup UpCloud with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Monitor Server and Network Changes

When you call `get_server` or `list_servers`, the data streams right into your front end. This means users see server details, like IP addresses or status changes, appear live without having to hit a refresh button. Need to make quick changes? You can use `update_server` and then check the result immediately with `get_host`. The real-time flow makes building user-facing cloud dashboards feel instant.

Handle Cloud Billing in Real Time

The MCP Server lets you expose financial data to your UI. Call `get_billing_summary` and the billing figures stream directly, giving users live visibility into their account costs. Want to let them see what they're paying for? Exposing results from `list_prices` means the pricing table updates as soon as it's fetched, perfect for an integrated sign-up flow.

Manage Storage Operations Live

Tracking storage status is critical. When you run `get_storage` or use `list_storages`, the data appears in your UI instantly. This real-time feedback works great when showing users if a backup job finished successfully. If they need to modify something, calling `update_storage` and getting confirmation immediately makes the whole experience feel native.

Setup guide

Set up UpCloud 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 UpCloud 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 UpCloud transactions",
});

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

Get your connection token →

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

Connect UpCloud now

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 UpCloud MCP in Vercel AI SDK

The MCP Server streams data directly to your client. When you call tools like `get_server` or `list_ips`, the results appear in the UI stream, eliminating loading spinners and giving a genuinely real-time feel.

Yes. You can call `get_billing_summary` through your agent client. The stream will deliver the monthly summary figures, letting you build a dashboard that displays up-to-the-minute financial data.

This MCP Server handles several critical data types. You can get account details using `get_account`, list IP addresses via `list_ips`, and manage credentials by listing API tokens through `list_api_tokens`.

It does. You can use the client to create or modify network components. Tools like `create_load_balancer` and `create_network` allow your agent to provision infrastructure, and the result streams back immediately.

The server specifically handles financial data by exposing methods like `get_billing_summary`, which provides the user with their current monthly billing summary.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript