How to Use the ClubPlanner MCP in AutoGen

Deploy multi-agent teams in AutoGen to negotiate gym bookings using the ClubPlanner MCP Server for consensus-driven decisions.

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Connect ClubPlanner MCP to AutoGen

Create your Vinkius account to connect ClubPlanner 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 ClubPlanner with AutoGen

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Perplexity

Debate scheduling in AutoGen

Set up a team of agents to reconcile `list_appointments` and `list_staff` availability. One agent proposes a slot while another verifies the staff workload. They negotiate until they reach a valid booking. You get a final decision that considers all operational constraints without human intervention.

Use ClubPlanner tools for agent consensus

Give your agents access to `create_prospect` to handle new leads. They debate the priority of each prospect before committing the record. This ensures your database reflects a vetted team decision. It removes the ambiguity of single-agent operations.

Manage gym workflows with MCP Server agents

Use the `list_checkins` tool to let your performance agent monitor gym traffic. If volume spikes, it alerts the scheduling agent to adjust class availability. Your agents work together to balance member experience. They handle the messy details of club management through continuous, deliberate communication.

Setup guide

Set up ClubPlanner 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 ClubPlanner 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="ClubPlanner_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ClubPlanner 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="ClubPlanner_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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 ClubPlanner. 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 ClubPlanner MCP in AutoGen

You register the server tools with the McpToolAdapter. Then, you pass the tools to your AssistantAgent to enable the discussion capabilities.

Yes, you can configure agents to flag discrepancies between tools. They will cross-reference data points to ensure accuracy before finalizing any action.

They work perfectly across multiple agents. Each agent can call different tools to contribute to the overall conversation.

You maintain control via your endpoint token. The agents only execute the tools you explicitly permit them to use.

We isolate your data sessions within the V8 sandbox. Your member check-in timestamps are never logged or shared outside your specific agent environment.

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