How to Use the ClassPass MCP in AutoGen

Q: How do I register ClassPass tools with AutoGen agents via MCP?

Install autogen-extmcp and use mcpservertools to fetch the schema. Pass these tools to your AssistantAgent so it can execute listschedule during agent debates.

Q: Can AutoGen agents resolve ClassPass booking conflicts?

Yes, your agents can pull listreservations and compare it against your internal schedule database. They negotiate the best resolution path and output a clear plan for your staff.

Q: How do AutoGen agents collaborate on ClassPass data?

One agent calls getvenueinfo to get studio details, while another checks listinventory for open spots. They share these inputs in the group chat to build a unified operational report.

Q: Where is my ClassPass inventory data stored during AutoGen runs?

Your SmartSpot inventory data retrieved via listinventory exists only in the volatile memory of your local AutoGen session. Vinkius secures the MCP transport layer with token-based authentication, keeping your commercial data completely private.

Deploy AutoGen agents that debate scheduling and analyze ClassPass performance using this MCP Server.

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Connect ClassPass MCP to AutoGen

Create your Vinkius account to connect ClassPass to AutoGen 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 ClassPass with AutoGen

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Multi-agent AutoGen debate on ClassPass optimization

This MCP Server delivers the `list_schedule` tool so your AutoGen scheduling agent can review active classes. A separate AutoGen finance agent then analyzes the cost-per-class to negotiate the best times for new ClassPass sessions. By feeding ClassPass `get_performance` data into this AutoGen multi-agent conversation, the agents debate which classes to cancel or promote. These AutoGen agents reach a consensus on ClassPass schedule changes before presenting the final plan to your studio manager.

Autonomous ClassPass inventory management

The `list_inventory` tool gives your AutoGen agents live access to your SmartSpot counts. An AutoGen booking agent reviews this ClassPass inventory while a marketing agent drafts promotional campaigns for empty slots. If ClassPass `list_reservations` shows low attendance, the AutoGen agents coordinate to suggest updates to class descriptions via `get_class_detail`. This collaborative AutoGen effort ensures your ClassPass studio maximizes occupancy without manual oversight.

Multi-agent venue profiling with AutoGen

The `get_venue_info` tool enables your AutoGen research agent to pull complete venue profiles instantly. The research agent shares this ClassPass data with your AutoGen operations analyst agent to audit branding consistency across locations. Using `list_locations` allows the AutoGen agent group to map out regional ClassPass performance variations. They cross-reference ClassPass location lists with local demographic data to pinpoint where to open your next fitness studio.

Setup guide

Set up ClassPass MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ClassPass tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ClassPass_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ClassPass data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ClassPass_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ClassPass data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about ClassPass MCP in AutoGen

Install autogen-ext[mcp] and use mcp_server_tools to fetch the schema. Pass these tools to your AssistantAgent so it can execute list_schedule during agent debates.

Yes, your agents can pull list_reservations and compare it against your internal schedule database. They negotiate the best resolution path and output a clear plan for your staff.

Use the Streamable HTTP transport provided by Vinkius to connect your AutoGen agents to the MCP Server. This setup guarantees fast, low-latency execution of tools like get_performance.

One agent calls get_venue_info to get studio details, while another checks list_inventory for open spots. They share these inputs in the group chat to build a unified operational report.

Your SmartSpot inventory data retrieved via list_inventory exists only in the volatile memory of your local AutoGen session. Vinkius secures the MCP transport layer with token-based authentication, keeping your commercial data completely private.

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