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Picktime MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Picktime 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 Picktime, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Picktime MCP Server

Connect your Picktime organization account to your AI agent and turn complex scheduling and availability management into a simple chat conversation.

The Vercel AI SDK gives every Picktime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Space & Resources — Easily retrieve structural logistics utilizing list_locations and inspect the service portfolio actively using list_services.
  • Staff Management — Gather team rosters through list_staff to orchestrate proper assignment mappings for upcoming reservations.
  • Booking Operations — Execute deep audits with list_bookings, review detailed entries (get_booking_details), and cleanly back out utilizing cancel_booking.
  • Availability Mapping — Audit live calendar empty spots using get_availability or check structured slots via list_classes for seamless planning.

The Picktime MCP Server exposes 10 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 Picktime to Vercel AI SDK via MCP

Follow these steps to integrate the Picktime 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 10 tools from Picktime and passes them to the LLM

Why Use Vercel AI SDK with the Picktime MCP Server

Vercel AI SDK provides unique advantages when paired with Picktime 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 Picktime integration everywhere

03

Built-in streaming UI primitives let you display Picktime 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

Picktime + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Picktime MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Picktime to Vercel AI SDK via MCP:

01

cancel_booking

Cancel a Picktime booking with a reason. The customer receives a cancellation notification and the time slot becomes available again for new bookings

02

get_availability

Get available booking time slots for a specific Picktime service on a given date. Returns free windows considering staff schedules, existing bookings, and buffer times. Essential for building custom booking flows

03

get_booking_details

Get full details of a specific Picktime booking including customer contact info, service booked, staff assigned, start/end times, payment status, and any customer notes

04

get_location

Used to resolve workspace boundaries before hitting schedules. Get detailed configuration for a specific Picktime location by ID. Returns location name, address, timezone, working hours, booking URL, and linked calendar/payment integrations

05

get_service_details

Get detailed configuration for a specific Picktime service. Returns name, duration, price, description, staff assignments, booking limits, and cancellation policy

06

list_bookings

List all bookings for a Picktime location with optional date filter. Returns customer names, booked services, staff assignments, times, statuses, and payment info. Essential for schedule management

07

list_classes

List all group classes configured for a Picktime location. Classes are multi-attendee bookings with capacity limits — yoga sessions, workshops, group trainings

08

list_locations

List all business locations configured in Picktime. Each location operates independently with its own services, staff, working hours, and booking pages. Multi-location businesses manage branches separately

09

list_services

List all bookable services for a Picktime location. Returns service names, durations, prices, descriptions, assigned staff, and buffer times. Services define what customers can book

10

list_staff

List all staff members at a Picktime location. Returns staff names, emails, roles, assigned services, working hours, and active status. Staff availability determines bookable time slots

Example Prompts for Picktime in Vercel AI SDK

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

01

"Find all of our active clinic locations in the Picktime registry."

02

"Cancel the booking record identified as BK123456."

03

"Can you check the availability data for 'Hair Styling' next Monday?"

Troubleshooting Picktime MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Picktime + Vercel AI SDK FAQ

Common questions about integrating Picktime 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 Picktime to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.