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How to Use the ClassPass MCP in Vercel AI SDK

Stream ClassPass data directly into your Vercel AI SDK frontends for real-time fitness scheduling and venue analytics.

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Vercel AI SDK

Connect ClassPass MCP to Vercel AI SDK

Create your Vinkius account to connect ClassPass 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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Real-time class scheduling for Vercel AI SDK

Feed your UI live session data by calling `list_schedule` within your Next.js components. The Vercel AI SDK handles the stream, so your users see the timetable populate instantly. Stop waiting for spinners. This MCP server pushes raw availability straight to your browser-side state.

Analyze fitness performance with AI SDK

Pass date ranges into `get_performance` to generate metrics on the fly. Your React frontend renders these charts as the AI processes your venue stats. It connects your backend logic to the user's screen. You get immediate visibility into how your spots are moving.

Manage venue inventory via MCP Server

Run `list_inventory` to see exactly what SmartSpots are open. The Vercel AI SDK maps these results to your interface without extra boilerplate code. This setup keeps your frontend in sync with the gym floor. You handle updates as they happen.

Setup guide

Set up ClassPass 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all ClassPass tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 ClassPass transactions",
});

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

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

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 ClassPass MCP in Vercel AI SDK

Use the `list_schedule` tool inside your streaming function. The server returns JSON objects which your frontend consumes to update the UI.
Yes, just call `get_performance` within your agent flow. The tool outputs historical data that you can format for your dashboard.
It is built for that exact environment. The HTTP transport keeps your latency low during data requests.
The server returns a standard error code that you can catch in your SDK logic. Handle it like any other API request.
We only touch your reservation and inventory records. Your endpoint token keeps the traffic isolated from other tenants.

Start using the ClassPass MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for ClassPass. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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