How to Use the ClassPass MCP in OpenAI Agents SDK
Build production agents that manage your ClassPass venue with the OpenAI Agents SDK's built-in safety checks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ClassPass MCP to OpenAI Agents SDK
Create your Vinkius account to connect ClassPass 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.
Run Your ClassPass Venue Safely
Give your agent the tools to manage day-to-day operations. It can check your studio’s schedule with `list_schedule` or pull a list of attendees for the next class with `list_reservations`. The SDK’s guardrails mean you can require human approval before the agent takes any action, so there are no surprises. This isn't just about simple tasks. Your agent can also manage SmartSpot availability using `list_inventory` or get venue details with `get_venue_info`. Every action is logged in your OpenAI dashboard, giving you a full trace of what your agent did and which ClassPass tool it used.
Get ClassPass Analytics in Python
Stop exporting CSVs. Your agent can call `get_performance` to pull analytics for any date range, directly inside your Python environment. From there, you can feed the data into any other library you use for graphing or reporting. Take it a step further by building specialized agents. The OpenAI Agents SDK lets you create agent-to-agent handoffs. You could have one agent that only pulls performance data, which then passes the results to another agent responsible for creating weekly summary reports.
Connect the ClassPass MCP Server Instantly
There's no complicated setup here. Just `pip install openai-agents` and point the `MCPServerStreamableHttp` client to your Vinkius URL. Your agent discovers all the ClassPass tools automatically when you pass the server to its constructor. For production apps, you'll want to set `cacheToolsList=True` to speed up initialization. Because the SDK is designed for `async` use, it fits right into modern, responsive Python applications that can’t afford to be blocked by network requests.
Set up ClassPass 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 ClassPass tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ClassPass tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate ClassPass 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="ClassPass Agent",
instructions="You have access to ClassPass 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 ClassPass. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about ClassPass MCP in OpenAI Agents SDK
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