Zenoti MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zenoti through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Zenoti, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Zenoti MCP Server
Connect your Zenoti organization to any AI agent and manage your spa, salon, or medspa enterprise through natural conversation.
The Vercel AI SDK gives every Zenoti tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through 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
- Guests — Search guests, view profiles, preferences, allergies, and loyalty points
- Appointments — Browse bookings with therapist, room, service, and payment status
- Services — List all spa/salon services with pricing, duration, and categories
- Therapists — View providers with specialties, ratings, and availability
- Invoices — Track revenue, sales, tips, and payment breakdowns
- Memberships — Manage membership tiers: basic, premium, VIP, couples
- Packages — Browse bundled services: couples massage, day spa, bridal
- Gift Cards — Track gift card balances, sales, and redemptions
- Centers — Manage multi-location operations across your enterprise
The Zenoti MCP Server exposes 14 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 Zenoti to Vercel AI SDK via MCP
Follow these steps to integrate the Zenoti MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 14 tools from Zenoti and passes them to the LLM
Why Use Vercel AI SDK with the Zenoti MCP Server
Vercel AI SDK provides unique advantages when paired with Zenoti through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Zenoti integration everywhere
Built-in streaming UI primitives let you display Zenoti tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Zenoti + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zenoti MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zenoti in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zenoti tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zenoti capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zenoti through natural language queries
Zenoti MCP Tools for Vercel AI SDK (14)
These 14 tools become available when you connect Zenoti to Vercel AI SDK via MCP:
get_appointment
Get appointment details
get_center
Get center details
get_guest
Get guest profile
get_guest_loyalty
Get guest loyalty points
list_appointments
Filter by date to see a specific day. List spa/salon appointments
list_centers
Includes name, address, timezone, and operating hours. Essential for multi-location spa chains like Massage Envy. List spa/salon locations
list_employees
Includes role, schedule, payroll info, and commission structure. List all employees
list_gift_cards
Filter by guest to see a specific person's cards. List gift cards
list_invoices
Filter by date range for revenue analysis. List sales and invoices
list_memberships
Shows pricing, included services, visit limits, and perks. List membership plans
list_packages
Shows included services and pricing. List service packages
list_services
Includes pricing, duration, category, and required room type. List spa/salon services
list_therapists
List therapists and providers
search_guests
Returns profile, visit history, loyalty points, preferred therapist, and product preferences. Search spa/salon guests
Example Prompts for Zenoti in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zenoti immediately.
"Show today's appointments at the downtown center."
"Find the profile for guest Maria Gonzalez and check her loyalty points."
"What is the total revenue collected across all centers today?"
Troubleshooting Zenoti MCP Server with Vercel AI SDK
Common issues when connecting Zenoti to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZenoti + Vercel AI SDK FAQ
Common questions about integrating Zenoti MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Zenoti with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zenoti to Vercel AI SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.