How to Use the ClubPlanner MCP in Vercel AI SDK

Q: How do I stream ClubPlanner check-ins using Vercel AI SDK?

Install @ai-sdk/mcp and set up the connection with createMCPClient pointing to your Vinkius endpoint. Pass the tools from mcpClient.tools() into streamText to let your agent stream live gym check-in logs directly to your React components using this MCP Server.

Q: How does Vercel AI SDK handle club staff queries with this MCP Server?

Your application queries liststaff through the SDK's streaming interface. The agent retrieves the employee directory from the MCP Server and renders the roster on screen without blocking the main UI thread.

Q: Do I need to manually close the connection after updating member contracts?

Yes. After running listcontracts or making modifications, always execute mcpClient.close() to prevent connection leaks in your serverless environment.

Build live fitness dashboards with the Vercel AI SDK streaming real-time gym check-ins and member updates directly to your users.

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Connect ClubPlanner MCP to Vercel AI SDK

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

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Stream Live Member Check-ins to React Frontends

Hook up `list_checkins` to your Next.js edge route to show desk staff who just walked through the doors. Instead of making users stare at a blank loading state while fetching gym logs, this setup streams the check-in events straight into your UI components as they happen. Your AI client calls `create_checkin` when a member scans a barcode, instantly updating the front-end list. You avoid writing complex polling logic because the Vercel AI SDK handles the gym check-in stream directly from the MCP Server.

Interactive Club Booking Interfaces

Let gym members schedule sessions through a chat interface that renders live booking options on the fly. By passing `list_appointments` and `create_appointment` to `streamText`, the AI renders open calendar slots and books them without forcing a page refresh. You get a responsive interface where the user watches the Vercel AI SDK stream and confirm their personal training slot in real-time. Just call `mcpClient.tools()` to grab the ClubPlanner booking functions and pass them straight into your tool-calling UI.

Vercel AI SDK Prospect Onboarding

Convert web traffic into gym leads by running a chat widget powered by the Vercel AI SDK. The widget captures visitor details and writes them to your sales pipeline using `create_prospect` without delaying the user experience. This MCP integration connects your frontend forms to the ClubPlanner database on Vercel Edge. When the gym lead submission finishes, remember to call `mcpClient.close()` to clean up the connections and keep your serverless functions fast.

Setup guide

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

Install `@ai-sdk/mcp` and set up the connection with `createMCPClient` pointing to your Vinkius endpoint. Pass the tools from `mcpClient.tools()` into `streamText` to let your agent stream live gym check-in logs directly to your React components using this MCP Server.

Yes, the setup is light enough to run on Vercel Edge. The AI client calls `create_appointment` to log fitness sessions instantly, bypassing cold starts and keeping your database writes fast.

Your application queries `list_staff` through the SDK's streaming interface. The agent retrieves the employee directory from the MCP Server and renders the roster on screen without blocking the main UI thread.

Yes. After running `list_contracts` or making modifications, always execute `mcpClient.close()` to prevent connection leaks in your serverless environment.

Your member profiles, check-in histories, and contract terms are protected by Vinkius's isolated sandbox. No raw customer database credentials ever touch the client side; the SDK only receives the specific JSON payloads allowed by your endpoint token with this MCP setup.

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