How to Use the Wellhub MCP in Vercel AI SDK

Q: What data does Wellhub expose via the Vercel AI SDK?

The server exposes employee plan tiers, booking details (listbookings), and real-time location data. You can use this information to build tools that guide users through the program.

Q: Can I handle check-in validation with Wellhub using Vercel AI SDK?

Yes, you call validatecheckin and stream the confirmation back. This is ideal for building a fast, responsive front end where users see their status update instantly after scanning.

Q: How do I get partner location data with Wellhub using Vercel AI SDK?

You call listlocations to pull the list of partners. Because it streams, you can build a map or directory that populates its results live as your agent fetches each entry.

Real-time Wellhub data streaming into your UI with Vercel AI SDK.

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Connect Wellhub MCP to Vercel AI SDK

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

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Check Employee Eligibility Status

You can immediately check if an employee is eligible for the program using `check_eligibility`. The function returns the specific plan tier and confirms access permissions in real time. This data lets your front end display user status instantly, without needing a full page refresh or a loading spinner. It’s perfect for live UI feedback.

Validate Gym Check-ins Live

When a member scans their QR code at the gym desk, calling `validate_check_in` confirms plan eligibility and records the visit instantly. Your AI client can stream this confirmation back to the user in real time. This direct feedback loop is crucial for user experience. The result tells you if the check-in succeeded or why it failed, making your agent reliable.

View Available Class Schedules

Need to show members what's open? Use `list_classes` to pull the schedule, capacity, and available spots for corporate members. The data streams directly into the UI as soon as it’s fetched. This capability means your agent doesn't just send a list; it builds a dynamic component that updates live on the user's screen.

Setup guide

Set up Wellhub 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 Wellhub 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 Wellhub transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wellhub. 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 Wellhub MCP in Vercel AI SDK

Your AI client uses the streaming capabilities of the Vercel AI SDK to connect to our MCP Server. This allows user-facing tools, like `list_eligible_employees`, to show results immediately as they arrive, which feels native to the application.

The server exposes employee plan tiers, booking details (`list_bookings`), and real-time location data. You can use this information to build tools that guide users through the program.

Yes, you call `validate_check_in` and stream the confirmation back. This is ideal for building a fast, responsive front end where users see their status update instantly after scanning.

You call `list_locations` to pull the list of partners. Because it streams, you can build a map or directory that populates its results live as your agent fetches each entry.

This server handles employee plan tiers, booking records, and gym check-in validation status. These are all operational details related to corporate wellness usage.

Use it with your favorite AI tools

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