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

main();
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About Appointlet MCP Server

Connect your Appointlet scheduling workspace to any AI agent to streamline booking operations, access client intake forms, and orchestrate meeting lifecycles directly via natural language. Forget jumping through tabs and let your virtual agent manage your calendar logistics.

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

  • Scheduling Pages — Retrieve all available booking links and overall configurations for your account
  • Meeting Types — Pull details on available meeting formats, including durations, conferencing tools, and status
  • Booking Operations — Discover scheduled meetings, access filled intake forms, or instantly cancel a booking with a custom reason
  • Team Availability — List members assigned to different scheduling pages to audit round-robin workloads
  • Organization Stats — Audit the Appointlet workspace status, tier, and connected members

The Appointlet 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 Appointlet to Vercel AI SDK via MCP

Follow these steps to integrate the Appointlet 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 Appointlet and passes them to the LLM

Why Use Vercel AI SDK with the Appointlet MCP Server

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

03

Built-in streaming UI primitives let you display Appointlet 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

Appointlet + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Appointlet MCP Tools for Vercel AI SDK (10)

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

01

cancel_booking

The attendee receives a cancellation notification email. The time slot becomes available for new bookings. Cancel an existing Appointlet booking

02

get_booking

Get full details of a specific Appointlet booking

03

get_meeting_type

Get detailed configuration for a specific Appointlet meeting type

04

get_organization

The organization is the top-level account entity. Get the Appointlet organization profile

05

get_scheduling_page

Retrieve detailed information for a specific Appointlet scheduling page

06

list_bookings

Useful for reporting and CRM sync. List all bookings for an Appointlet scheduling page

07

list_intake_fields

Returns field names, types, and required status. List all custom intake form fields for an Appointlet meeting type

08

list_meeting_types

List all meeting types configured for an Appointlet scheduling page

09

list_members

Members receive meetings via round-robin or pooled availability. List all team members assigned to an Appointlet scheduling page

10

list_scheduling_pages

Each page has a unique booking URL. List all scheduling pages in the Appointlet organization

Example Prompts for Appointlet in Vercel AI SDK

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

01

"List the meeting types on my primary scheduling page."

02

"Cancel my meeting with Alex Johnson scheduled for today and give the reason 'Flight delayed'."

03

"What answers did the attendee give in the intake form for booking bk_71m?"

Troubleshooting Appointlet MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Appointlet + Vercel AI SDK FAQ

Common questions about integrating Appointlet 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 Appointlet to Vercel AI SDK

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