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How to Use the Picktime MCP in Vercel AI SDK

Feed real-time Picktime calendar states directly into your React components using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Picktime MCP on Cursor AI Code Editor MCP Client Picktime MCP on Claude Desktop App MCP Integration Picktime MCP on OpenAI Agents SDK MCP Compatible Picktime MCP on Visual Studio Code MCP Extension Client Picktime MCP on GitHub Copilot AI Agent MCP Integration Picktime MCP on Google Gemini AI MCP Integration Picktime MCP on Lovable AI Development MCP Client Picktime MCP on Mistral AI Agents MCP Compatible Picktime MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Picktime MCP to Vercel AI SDK

Create your Vinkius account to connect Picktime to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Zero-Latency Calendar Feeds via Vercel AI SDK

The `get_availability` tool fetches open calendar slots directly from the Picktime API to feed your streaming UI via this MCP Server. Your Vercel AI SDK application renders these free slots in real-time as the model processes the query, bypassing slow API loading spinners. You pass this tool directly into `streamText` to let your agent output interactive booking widgets instantly. The client uses the raw JSON payload to update the calendar state on the fly.

Direct Booking Inspections in React

The `get_booking_details` tool retrieves customer contact info, payment statuses, and specific staff assignments directly from your scheduling database. Your Vercel AI SDK frontend displays these details inside conversational UI cards the moment the model calls the function. By using `list_bookings`, the agent filters appointments by date range to populate custom dashboard views. This eliminates the need for manual API routing because the SDK handles the data transfer securely at the edge.

Live Location and Staff Mapping via MCP Server

The `list_locations` tool maps independent business branches and resolves timezone boundaries before your agent schedules an appointment. Your Vercel AI SDK client uses this data to align user booking requests with local branch operations. Once the location is set, `list_staff` pulls active employee rosters and working hours to prevent scheduling conflicts. Your UI updates dynamically, showing only the staff qualified for the selected service.

Setup guide

Set up Picktime 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Picktime tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Picktime transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Picktime. 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.

Why Choose Vinkius

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Real-time monitoring

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Built-in savings

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Common questions about Picktime MCP in Vercel AI SDK

You initialize the MCP client and pass `get_availability` directly to the `tools` parameter of `streamText`. The SDK streams the open time slots directly to your Next.js UI components, which lets users see bookable slots without waiting for a full page reload.
Yes. The agent invokes `cancel_booking` with a specific reason provided by the user. The SDK processes the cancellation, triggers the notification, and updates the UI state immediately.
The agent calls `list_locations` to identify the correct branch ID. Once resolved, the Vercel AI SDK client queries `list_services` to pull services specific to that location.
Yes. The `list_classes` tool retrieves multi-attendee sessions like workshops or group trainings. Your agent can read capacity limits and current attendee counts to guide the user.
This server handles sensitive customer contact info and payment status within Vinkius's zero-trust V8 isolate sandbox. No booking data is stored on our servers; every query passes directly to the Picktime API over encrypted TLS channels and is immediately destroyed.

Start using the Picktime MCP today

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