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

Name: Acuity Scheduling
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Acuity Scheduling through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Acuity Scheduling "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Acuity Scheduling?"
    )
    print(result.data)

asyncio.run(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 Acuity Scheduling MCP Server

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

Pydantic AI validates every Acuity Scheduling tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Acuity Scheduling MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Acuity Scheduling with type-safe schemas

Why Use Pydantic AI with the Acuity Scheduling MCP Server

Pydantic AI provides unique advantages when paired with Acuity Scheduling through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Acuity Scheduling integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Acuity Scheduling connection logic from agent behavior for testable, maintainable code

Acuity Scheduling + Pydantic AI Use Cases

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

Type-safe data pipelines: query Acuity Scheduling with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Acuity Scheduling tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Acuity Scheduling and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Acuity Scheduling responses and write comprehensive agent tests

Acuity Scheduling MCP Tools for Pydantic AI (9)

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

check_availability_dates

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

get_account

Retrieve business profile and account settings from the connected Acuity account

get_appointment

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

list_appointment_types

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

list_appointments

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

list_available_times

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

list_calendars

Retrieve all calendars identifying providers and instructors in Acuity

list_classes

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

list_products

Retrieve products or gift certificates available for purchase through Acuity

Example Prompts for Acuity Scheduling in Pydantic AI

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

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

Troubleshooting Acuity Scheduling MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Acuity Scheduling + Pydantic AI FAQ

Common questions about integrating Acuity Scheduling MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Acuity Scheduling MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.