How to Use the Acuity Scheduling MCP in CrewAI

Deploy autonomous booking teams. Give your CrewAI agents direct access to Acuity Scheduling to manage calendars without human input.

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Connect Acuity Scheduling MCP to CrewAI

Create your Vinkius account to connect Acuity Scheduling to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Acuity Scheduling with CrewAI

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Coordinate CrewAI Support Teams

A dedicated triage agent runs `list_appointments` to pull a complaining customer's recent history. That agent passes the date range and booking IDs to a resolution agent. The resolution agent then fires `get_appointment` to read the exact notes and service details. These agents share memory during the session. While the first agent analyzes the past booking, a scheduling agent uses `list_appointment_types` to find a suitable makeup service. They collaborate to draft the perfect response over the MCP connection before you even see the ticket.

Monitor Class Capacity with this MCP Server

You assign a monitor agent to poll `list_classes` at regular intervals. It watches the enrolled counts versus total capacity for every group session on your schedule. When a class fills up, it notifies a marketing agent to pause ads for that specific time slot. The same crew handles physical inventory. An audit agent executes `list_products` to track gift certificates and merchandise. It cross-references those items with upcoming appointments to ensure you have enough stock for the day's clients.

Automate Provider Scheduling

Your dispatcher agent queries `list_calendars` to identify which instructors are working on a given day. It then runs `check_availability_dates` for each provider. The crew builds a complete map of who is free and when. Booking requests hit the crew and get processed sequentially. The system matches the user's requested time against the output of `list_available_times`. The agents handle the back-and-forth negotiation completely autonomously.

Setup guide

Set up Acuity Scheduling MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Acuity Scheduling tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Acuity Scheduling Analyst",
    goal="Access and analyze Acuity Scheduling data via MCP.",
    backstory="Expert analyst with direct Acuity Scheduling access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Acuity Scheduling transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Acuity Scheduling Analyst",
        goal="Access and analyze Acuity Scheduling data via MCP.",
        backstory="Expert analyst with direct Acuity Scheduling access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Acuity Scheduling transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Acuity Scheduling. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Acuity Scheduling MCP in CrewAI

Pass your Vinkius endpoint directly into the mcps array in your agent definition. Install the crewai[tools] package to enable the integration.

Yes. You give your entire crew access to the endpoint, or use tool_filter to restrict specific agents to specific tools.

A specialized agent queries the calendar tools and stores the available slots in shared memory. Other agents in the crew read that memory to propose times to the user.

The Vinkius endpoint supports Streamable HTTP or SSE. CrewAI handles the connection natively through the MCPServerHTTP class.

Nobody. The isolated execution environment handles your client booking records and staff schedules securely. Auth tokens stay at the endpoint layer, and the session wipes clean after the crew finishes its task.

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