How to Use the MyTime MCP in Vercel AI SDK

Q: How do I connect MyTime to Vercel AI SDK?

Install the @ai-sdk/mcp package. Initialize it with createMCPClient({ transport: { type: "http", url: "YOURVINKIUSURL" } }). Pass the resulting tools directly into your streamText call.

Q: Can the Vercel AI SDK stream MyTime appointment data?

Yes. When the agent calls getappointment, the SDK streams the returned JSON directly to your frontend. Your UI renders the booking details as they arrive.

Q: How do I show staff availability in Next.js?

Prompt your agent to run getavailability. The SDK routes the tool call to the server and streams the available time slots back to your Next.js client component.

Build live appointment booking apps with Vercel AI SDK. Stream MyTime schedules directly into your React UI.

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…and any MCP-compatible client

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Connect MyTime MCP to Vercel AI SDK

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

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Vercel AI SDK Live Integration

You want users to see available slots instantly, not stare at a loading spinner. The Vercel AI SDK takes the output from `get_availability` and streams it straight into your React or Next.js frontend component. When a user asks for an open slot, the agent fires `list_appointments` to find gaps. The results render incrementally. You get a fast, interactive booking experience that feels native to your web application.

Instant Business Context

Your agent needs basic facts before it can answer user questions. By calling `get_business_info` and `list_locations`, the AI pulls operating hours and addresses into the context window over the MCP connection. This means your chatbot stops guessing store hours. It reads the exact service menu via `list_services` and presents accurate pricing to the user before they commit to an appointment.

Real-Time Customer Rendering

Build dashboards that update as the conversation happens. When the agent identifies a user, it triggers `list_customers` to pull up their history. You can pipe the output of `list_staff` into a dropdown menu on the fly. The MCP Server handles the data fetching, and your UI components react instantly to the incoming JSON chunks.

Setup guide

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

Install the `@ai-sdk/mcp` package. Initialize it with `createMCPClient({ transport: { type: "http", url: "YOUR_VINKIUS_URL" } })`. Pass the resulting tools directly into your `streamText` call.

Yes. When the agent calls `get_appointment`, the SDK streams the returned JSON directly to your frontend. Your UI renders the booking details as they arrive.

Yes. Vinkius provides a stateless HTTP transport endpoint. You can run your scheduling integration entirely on Vercel Edge without maintaining long-lived connections.

Prompt your agent to run `get_availability`. The SDK routes the tool call to the server and streams the available time slots back to your Next.js client component.

Vinkius runs this integration inside an ephemeral V8 Isolate sandbox. The system pulls sensitive contact details and appointment histories, processes the single request, and immediately destroys the environment. Nothing persists in memory.

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