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WellnessLiving MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect WellnessLiving through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using WellnessLiving, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
WellnessLiving
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About WellnessLiving MCP Server

Connect your WellnessLiving studio to any AI agent and manage your fitness business through natural conversation.

The Vercel AI SDK gives every WellnessLiving tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Schedule — View daily class schedule with instructors, capacity, and enrollment
  • Clients — Search members, view profiles, credits, and attendance history
  • Staff — List instructors and trainers with roles and schedules
  • Memberships — Browse all promotion/membership plans with pricing
  • Locations — Manage multi-location studios with addresses and hours
  • Reports — Access business reports: attendance, revenue, retention
  • Business — View account profile and configuration

The WellnessLiving MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect WellnessLiving to Vercel AI SDK via MCP

Follow these steps to integrate the WellnessLiving MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 9 tools from WellnessLiving and passes them to the LLM

Why Use Vercel AI SDK with the WellnessLiving MCP Server

Vercel AI SDK provides unique advantages when paired with WellnessLiving through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same WellnessLiving integration everywhere

03

Built-in streaming UI primitives let you display WellnessLiving tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

WellnessLiving + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the WellnessLiving MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query WellnessLiving in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate WellnessLiving tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed WellnessLiving capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with WellnessLiving through natural language queries

WellnessLiving MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect WellnessLiving to Vercel AI SDK via MCP:

01

get_business_info

Get business info

02

get_client

Get client profile

03

get_report

Reports include attendance, revenue, retention metrics. Get business report

04

list_locations

List business locations

05

list_memberships

List membership plans

06

list_schedule

List class schedule

07

list_services

List class types/services

08

list_staff

List staff members

09

search_clients

Returns profile, memberships, and visit history. Search clients/members

Example Prompts for WellnessLiving in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with WellnessLiving immediately.

01

"Show today's class schedule."

02

"Check David Chen's attendance history and remaining class credits."

03

"Generate a summary of yesterday's revenue and attendance for the Uptown studio."

Troubleshooting WellnessLiving MCP Server with Vercel AI SDK

Common issues when connecting WellnessLiving to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

WellnessLiving + Vercel AI SDK FAQ

Common questions about integrating WellnessLiving MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect WellnessLiving to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.