How to Use the Arbox MCP in Vercel AI SDK

Q: How do I connect the Arbox MCP Server to Vercel AI SDK?

Install both ai and @ai-sdk/mcp packages via npm. Initialize the connection using createMCPClient with your Vinkius endpoint URL. Pass the resulting tools directly to streamText or generateText.

Q: Can Vercel AI SDK stream Arbox class schedules directly to a Next.js frontend?

Yes. The SDK takes the JSON returned by the getschedule tool and streams it to your client components. You map that streamed data into your custom calendar UI as it arrives.

Q: Does the Arbox integration support OAuth through Vercel AI SDK?

You handle authentication natively through the SDK's authProvider configuration. The Vinkius endpoint requires a single access token, keeping the connection secure and ephemeral.

Stream live gym schedules and member data straight into your React components with the Arbox MCP Server for Vercel AI SDK.

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Connect Arbox MCP to Vercel AI SDK

Create your Vinkius account to connect Arbox 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 Arbox with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Build live class booking UIs with Vercel AI SDK.

Your frontend needs to show class availability the second a user asks for it. Vercel AI SDK streams the output of the `list_classes` tool directly into your React or Next.js components. Users watch the schedule appear on their screen without staring at a loading spinner. When they decide on a time, the agent triggers `book_class` in the background. You parse the streaming response and update the UI state instantly to confirm their spot.

Render gym member profiles dynamically.

Fetching client details shouldn't block the rest of your application. Calling `get_client` through the MCP integration pulls specific member records while the UI remains responsive. The edge-compatible nature of the SDK means this happens close to your users. Need to update a phone number or billing address? Your interface captures the input and fires off `update_client`. The changes push straight to Arbox while your frontend reflects the new data immediately.

Manage sales pipelines in real-time.

Prospect inquiries flow into your system constantly. Your agent intercepts these messages and runs `create_lead` to log them instantly. Staff members see the new entries pop up on their dashboards as the data streams in. Following up requires organization. The system can chain a `create_task` call right after logging the prospect, ensuring your sales team knows exactly who to call next.

Setup guide

Set up Arbox 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 Arbox 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 Arbox 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 Arbox. 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 Arbox MCP in Vercel AI SDK

Install both `ai` and `@ai-sdk/mcp` packages via npm. Initialize the connection using `createMCPClient` with your Vinkius endpoint URL. Pass the resulting tools directly to `streamText` or `generateText`.

Yes. The SDK takes the JSON returned by the `get_schedule` tool and streams it to your client components. You map that streamed data into your custom calendar UI as it arrives.

You handle authentication natively through the SDK's `authProvider` configuration. The Vinkius endpoint requires a single access token, keeping the connection secure and ephemeral.

The tool returns an error object instead of a success confirmation. Your React component reads this state change and displays a fallback message to the user immediately.

Your member profiles, payment statuses, and lead contact details remain entirely within the V8 Isolate Sandbox. Vinkius destroys the execution environment the moment the tool call finishes. No persistent storage exists outside your actual database.

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