How to Use the Acuity Scheduling MCP in OpenAI Agents SDK
Directly manage your Acuity Scheduling bookings inside your OpenAI Agents SDK production pipeline for reliable, automated operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Acuity Scheduling MCP to OpenAI Agents SDK
Create your Vinkius account to connect Acuity Scheduling to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Check availability via OpenAI Agents SDK
Your agent queries `check_availability_dates` to identify open slots without manual lookup. It pulls data directly from your service definitions to confirm timing. This keeps your agent loop tight. By using `list_available_times`, the system avoids scheduling conflicts before they occur.
Full appointment control for agents
The agent uses `list_appointments` to scan your existing schedule. It extracts precise details using `get_appointment` when you need to confirm specific client data. Everything happens inside your Python code logic. You avoid context switching by having your agent handle these queries natively.
Sync business metadata into agents
Your agent pulls your `list_appointment_types` to understand current service pricing and duration constraints. It reads `list_calendars` to see which providers are active. This setup bridges your business logic with your agent. The server makes sure your agent knows exactly what products and classes are currently live.
Set up Acuity Scheduling MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Acuity Scheduling tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Acuity Scheduling tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Acuity Scheduling tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Acuity Scheduling Agent",
instructions="You have access to Acuity Scheduling tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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