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Acuity Scheduling MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

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

main();
Acuity Scheduling
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Acuity Scheduling MCP Server

Connect your Acuity Scheduling (by Squarespace) account to any AI agent and manage your booking operations through natural conversation.

The Vercel AI SDK gives every Acuity Scheduling tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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

  • Appointments — List, search, and view booked sessions with client info and intake form answers
  • Availability — Check real-time available dates and time slots for any service
  • Calendars — List all providers/instructors and their individual schedules
  • Appointment Types — Browse all bookable services with pricing and duration
  • Classes — View group classes with capacity and enrollment
  • Products — Manage gift certificates and products for sale

The Acuity Scheduling MCP Server exposes 9 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 Acuity Scheduling to Vercel AI SDK via MCP

Follow these steps to integrate the Acuity Scheduling 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 9 tools from Acuity Scheduling and passes them to the LLM

Why Use Vercel AI SDK with the Acuity Scheduling MCP Server

Vercel AI SDK provides unique advantages when paired with Acuity Scheduling 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 Acuity Scheduling integration everywhere

03

Built-in streaming UI primitives let you display Acuity Scheduling 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

Acuity Scheduling + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Acuity Scheduling MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Acuity Scheduling to Vercel AI SDK via MCP:

01

check_availability_dates

Requires Appointment Type ID. Check which dates have available booking slots for a specific service and month

02

get_account

Retrieve business profile and account settings from the connected Acuity account

03

get_appointment

Retrieve the full details of a specific Acuity appointment using its unique ID

04

list_appointment_types

Shows duration, price, and category. Retrieve all active bookable service types offered in the Acuity account

05

list_appointments

Filter by date range. Retrieve booked appointments from the Acuity Scheduling system, filterable by date range

06

list_available_times

Essential for booking assistance. List exactly when someone can book a given Acuity service on a specific date

07

list_calendars

Retrieve all calendars identifying providers and instructors in Acuity

08

list_classes

Retrieve group classes scheduled in Acuity, including their capacity and enrolled counts

09

list_products

Retrieve products or gift certificates available for purchase through Acuity

Example Prompts for Acuity Scheduling in Vercel AI SDK

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

01

"Do I have any open slots for private yoga tomorrow?"

Troubleshooting Acuity Scheduling MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Acuity Scheduling + Vercel AI SDK FAQ

Common questions about integrating Acuity Scheduling 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 Acuity Scheduling to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.