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Timekit MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Cancel Booking, Check Availability, Confirm Booking, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Timekit through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Timekit app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Timekit, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Timekit
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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 Timekit MCP Server

Connect your Timekit account to any AI agent and simplify how you manage resource availability, booking workflows, and customer appointments through natural conversation.

The Vercel AI SDK gives every Timekit tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Resource Management — List all resources (people, rooms, equipment) and create new profiles to manage scheduling capacity.
  • Booking Lifecycle — Create new bookings, confirm tentative requests, or decline/cancel existing appointments via AI.
  • Availability Checking — Programmatically find available time slots for one or more resources based on specific date ranges and durations.
  • Rescheduling — Easily move existing bookings to new time slots without manual dashboard entry.
  • Workflow Control — Manage complex booking 'graphs' (instant, confirm_decline) directly from your workspace.
  • Account Visibility — Retrieve detailed metadata for specific bookings and resources to stay on top of your schedule.

The Timekit MCP Server exposes 11 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.

All 11 Timekit tools available for Vercel AI SDK

When Vercel AI SDK connects to Timekit through Vinkius, your AI agent gets direct access to every tool listed below — spanning scheduling-api, resource-management, booking-system, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_booking

Cancel a confirmed booking

check_availability

Check availability for resources

confirm_booking

Confirm a pending booking

create_booking

Create a new booking

create_resource

Create a new resource

decline_booking

Decline a pending booking

get_booking

Get details for a specific booking

get_resource

Get details for a specific resource

list_bookings

List all bookings

list_resources

List all resources (people, rooms, etc.)

reschedule_booking

Reschedule an existing booking

Connect Timekit to Vercel AI SDK via MCP

Follow these steps to wire Timekit into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Timekit and passes them to the LLM

Why Use Vercel AI SDK with the Timekit MCP Server

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

03

Built-in streaming UI primitives let you display Timekit 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

Timekit + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Timekit in Vercel AI SDK

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

01

"List all resources available in my account."

02

"Find 30-minute slots for 'Alex Rivera' (ID: res_10293) for tomorrow afternoon."

03

"Confirm the tentative booking #88231."

Troubleshooting Timekit MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Timekit + Vercel AI SDK FAQ

Common questions about integrating Timekit 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.