How to Use the Clubspeed MCP in Vercel AI SDK

Stream real-time Clubspeed karting reservations and racer details directly into your Vercel AI SDK React components.

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Connect Clubspeed MCP to Vercel AI SDK

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

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Stream live racing heats into your Next.js UI

Users hate waiting for spinners when checking track availability on Clubspeed. This Vercel AI SDK setup feeds live heat data straight into your React components without lag. By invoking `list_race_heats` and `list_venue_activities`, your Vercel AI SDK application displays active track schedules as the LLM processes the request. Your frontend renders the active schedules instantly, keeping racers engaged on your booking page instead of staring at blank loading states.

Verify customer waivers via Vercel AI SDK

Stop making front desk staff manually search for liability paperwork. Your Vercel AI SDK app can query the `list_customer_waivers` tool to verify signed Clubspeed documents on the fly. When a racer arrives, the Vercel AI SDK client scans the Clubspeed database and updates the registration screen instantly. This removes friction at check-in and ensures that your venue stays compliant without slowing down the queue at the front counter.

Build an interactive MCP Server reservation feed

Displaying Clubspeed bookings requires constant updates. Using `list_venue_reservations` and `get_reservation_details`, your Vercel AI SDK application pulls the latest booking statuses directly into your dashboard. The MCP client handles the connection to Vinkius, serving fresh Clubspeed venue data on demand to your Vercel AI SDK frontend. This setup works perfectly within Edge Functions, giving you low-latency data fetching that scales during peak weekend hours.

Setup guide

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

Install the core packages and initialize the client using createMCPClient pointing to your Vinkius endpoint. Pass the tools directly into streamText to let your model call `list_venue_customers` or check booking details.

Yes, the integration is fully compatible with Edge runtimes. Because Vinkius handles the connection details, your serverless functions remain lightweight and fast.

The SDK passes calls directly to the Vinkius MCP gateway, which manages connection pooling. You won't have to write custom throttling code to protect your venue database.

This specific server focuses on reading and organizing venue data. Your agent can query details using `get_reservation_details` to assist staff, but it won't write new database entries.

Vinkius runs this server inside an isolated V8 sandbox, ensuring your waiver logs and racer profiles remain private. Sensitive customer info fetched via `list_customer_waivers` never persists on the gateway.

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