How to Use the Arbox MCP in Vercel AI SDK

Q: Can I stream Arbox membership updates live using Vercel AI SDK?

Yes, you can stream them. By calling listmemberships inside streamText, the user sees pricing plans and studio options render on their screen chunk by chunk.

Q: How do I fetch trainer rosters using this MCP Server?

Your agent invokes listcoaches to retrieve active trainers and their specialties. The server returns clean JSON payloads that map directly to your frontend UI components.

Q: How does Vinkius protect my studio payment records and member data?

Every request to listpayments and getmember runs inside an isolated V8 sandbox. Your customer financial records and gym profiles never persist on disk, ensuring strict memory-only processing.

Stream live Arbox studio schedule and membership data directly into your React frontend using the 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

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Build live fitness dashboards with Vercel AI SDK

The `search_members` tool pulls live profile and engagement scores directly into your React components without slowing down your UI. Your frontend receives fitness studio member profiles instantly, bypassing the need for manual API route setups. This MCP Server handles the data fetching under the hood while your streaming setup keeps the UI responsive. You call `mcpClient.tools()` to grab the tools and feed them straight into `streamText` for real-time gym stats.

Render real-time class schedules in Next.js

The `list_schedule` tool queries your Arbox calendar to display upcoming classes directly to your gym members. Because the Vercel AI SDK streams responses, class availability updates on the screen as the AI agent processes the calendar data. You configure this by wrapping the fetch in an Edge-compatible function. Running `get_branch_info` alongside the schedule query lets you show location-specific timetables without adding server latency.

Convert sales leads directly on the edge

The `list_leads` tool scans your studio sales pipeline to identify high-value prospects waiting for follow-ups using the Arbox MCP. Web apps built with Vercel AI SDK can process these lead lists on edge nodes, keeping your sales dashboard fast and responsive. Developers pass the tool definitions directly into the SDK's text generation functions. Once the pipeline analysis finishes, you call `mcpClient.close()` to clean up the connections and save edge compute resources.

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.

Why Choose Vinkius

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Common questions about Arbox MCP in Vercel AI SDK

Install the required packages and initialize the client using `createMCPClient` with your Vinkius HTTP endpoint. Pass the tools array directly to your text generation function to let your agent query studio data.

Yes, you can stream them. By calling `list_memberships` inside `streamText`, the user sees pricing plans and studio options render on their screen chunk by chunk.

Yes, the server is built to run on lightweight edge infrastructure. You write standard TypeScript code and import `@ai-sdk/mcp` to handle gym data queries from any edge region.

Your agent invokes `list_coaches` to retrieve active trainers and their specialties. The server returns clean JSON payloads that map directly to your frontend UI components.

Every request to `list_payments` and `get_member` runs inside an isolated V8 sandbox. Your customer financial records and gym profiles never persist on disk, ensuring strict memory-only processing.

Use it with your favorite AI tools

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