How to Use the Vagaro MCP in Vercel AI SDK

Q: How do I check a client's history using Vagaro and Vercel AI SDK?

You call the searchclients tool. It returns contact info, visit history, and preferences all in one go. Since you're streaming results, the user sees that history pop up immediately.

Q: Can I build an appointment scheduler using Vagaro and Vercel AI SDK?

Absolutely. Use getstaffschedule to show booked time slots, or use listclasses for fitness scheduling data. The streaming nature of the SDK makes the booking flow feel instant.

Q: What if I need to search for a specific staff member in Vagaro using Vercel AI SDK?

You can use liststaff to get names, roles, and specialties. You'll pull that list instantly into your frontend display.

Build real-time salon apps with Vercel AI SDK. Show your users the data appearing live.

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Connect Vagaro MCP to Vercel AI SDK

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

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Access Client Profiles via MCP Server

Use `get_client` to pull a client's full profile details. Your agent instantly retrieves contact info, visit history, and specific preferences. This means the user sees the data stream into the UI as soon as it's found, skipping any loading spinners.

Manage Staff Availability with Vercel AI SDK

Check staff schedules using `get_staff_schedule` or narrow down time slots with `list_appointments`. This lets your app show exactly when a provider is booked and available. The real-time streaming nature of the SDK makes this look incredibly smooth; it feels like the data just materialized on the screen.

Search Inventory & Services via MCP Server

Listing all services offered or checking retail stock is simple. You can call `list_services` to get pricing and duration, or use `list_products` for name, price, brand, and stock levels. Your agent handles these lookups live in the frontend, which is perfect for building user-facing products that need instant feedback.

Setup guide

Set up Vagaro 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 Vagaro 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 Vagaro transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vagaro. 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 Vagaro MCP in Vercel AI SDK

You call the `search_clients` tool. It returns contact info, visit history, and preferences all in one go. Since you're streaming results, the user sees that history pop up immediately.

This MCP Server touches client profile data (contact info, visit history) and operational data like staff schedules and service pricing. You're dealing with customer records and business operations.

Absolutely. Use `get_staff_schedule` to show booked time slots, or use `list_classes` for fitness scheduling data. The streaming nature of the SDK makes the booking flow feel instant.

It supports real-time data presentation across multiple tools, like checking business info with `get_business_info` and then listing services. It's designed for building live UIs around the data.

You can use `list_staff` to get names, roles, and specialties. You'll pull that list instantly into your frontend display.

Use it with your favorite AI tools

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