How to Use the Arcadia Utility Cloud MCP in Vercel AI SDK

Q: How do I get started with Arcadia Utility Cloud and the Vercel AI SDK?

Install @ai-sdk/mcp and ai, then use createMCPClient with your Vinkius MCP URL. You can get all available tools with mcpClient.tools() and pass them to your AI model functions like streamText.

Q: Can I build a real-time usage monitor with this?

Yes. The getmeterdata tool is perfect for this. When you call it via streamText, the consumption data will stream back, letting you update a chart or graph in your UI live.

Q: What kind of utility data can I actually access?

You can list all accounts and meters with listaccounts and listmeters. From there, you can pull specific meter readings with getmeterdata or billing info with liststatements and getstatement.

Stream Arcadia utility data right into your UI with the Vercel AI SDK. Your users see live data, not loading spinners.

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Connect Arcadia Utility Cloud MCP to Vercel AI SDK

Create your Vinkius account to connect Arcadia Utility Cloud 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 Arcadia Utility Cloud with Vercel AI SDK

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Live Utility Data in Your UI

Connect this Arcadia MCP Server to your `ai-sdk` client and your app can pull utility data without waiting for a full API response. The data streams in, populating your components as it arrives. Use `get_meter_data` to show energy consumption graphs that draw in real-time. Or, build a dashboard that lists bills using `list_statements` and updates instantly. It makes your app feel incredibly responsive.

Build Self-Service Utility Dashboards

Let your users manage their own utility information. With tools like `list_accounts` and `list_meters`, you can build a component that lets them select which account or meter to inspect. The user picks an account, and your `ai-sdk` agent calls `get_statement` to fetch the latest bill details. Because results stream, the bill information appears on screen piece by piece, giving immediate feedback.

Simple Setup for Your Next.js App

Getting this running is straightforward. Install the packages, then point the `createMCPClient` at your Vinkius endpoint URL. That's it. The tools are ready to be passed to `generateText`. You don't need a separate backend to proxy requests. This MCP client runs on the edge, connecting directly to the Arcadia Utility Cloud server. This setup keeps your architecture simple and your app fast.

Setup guide

Set up Arcadia Utility Cloud 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 Arcadia Utility Cloud 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 Arcadia Utility Cloud 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 Arcadia. 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 Arcadia Utility Cloud MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai`, then use `createMCPClient` with your Vinkius MCP URL. You can get all available tools with `mcpClient.tools()` and pass them to your AI model functions like `streamText`.

Yes. The `get_meter_data` tool is perfect for this. When you call it via `streamText`, the consumption data will stream back, letting you update a chart or graph in your UI live.

Vinkius handles it. Your single Vinkius endpoint token authenticates your requests to the MCP server. You can also integrate your own `authProvider` in the client if you need user-level OAuth.

You can list all accounts and meters with `list_accounts` and `list_meters`. From there, you can pull specific meter readings with `get_meter_data` or billing info with `list_statements` and `get_statement`.

Yes. Your connection to the Arcadia server is encrypted. The Vinkius platform processes requests in an ephemeral sandbox, meaning no utility account numbers or meter data are ever stored or logged after your request is complete.

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