How to Use the ClubPlanner MCP in CrewAI

Q: How do I add ClubPlanner tools to a CrewAI agent?

Install crewaitools and pass your Vinkius URL directly in the agent's mcps array. This gives your specialized gym agents instant access to tools like getmember and listmembers with this MCP Server.

Q: Can I limit which ClubPlanner tools a specific CrewAI agent can use with this MCP Server?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter to expose only what that agent needs, like limiting a sales agent to createprospect.

Q: How do CrewAI agents collaborate on ClubPlanner appointments?

One agent can retrieve the schedule using listappointments, while a coordinator agent calls createappointment to resolve scheduling conflicts. They pass these data payloads back and forth using CrewAI's shared memory.

Q: Where is my ClubPlanner member check-in history stored during agent runs?

All check-in logs read by listcheckins are processed in ephemeral V8 isolates. No gym data is persisted on Vinkius servers, ensuring complete privacy for your members' attendance records with this MCP setup.

Deploy a collaborative crew of AI agents in CrewAI to run your gym operations, sales follow-ups, and front-desk scheduling.

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Connect ClubPlanner MCP to CrewAI

Create your Vinkius account to connect ClubPlanner 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 ClubPlanner with CrewAI

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Multi-Agent Gym Sales Pipelines

Set up a CrewAI team where specialized agents handle different parts of your gym's sales funnel. An outreach agent reads `list_prospects` from ClubPlanner, a qualification agent analyzes their interest, and a closer agent runs `create_prospect` to lock in the lead. Because these CrewAI agents share memory, they pass gym prospect context along without losing details. Your sales team gets fully qualified leads registered in the ClubPlanner database without any manual data entry.

Autonomous Front-Desk Operations with MCP Server

Run a digital front desk in CrewAI that coordinates member check-ins and schedules trainers. One CrewAI agent monitors check-ins via `list_checkins` while another cross-references the schedule using `list_appointments`. If a trainer is double-booked, the supervisor CrewAI agent assigns a new staff member from the `list_staff` pool. They coordinate these ClubPlanner logistics autonomously, keeping your gym floor running smoothly.

Automated Membership Audits

Audit your ClubPlanner database by running a CrewAI team that matches active member accounts with their financial agreements. A CrewAI compliance agent pulls the roster via `list_members` and hands it to a billing agent who checks `list_contracts` using this MCP integration. When the CrewAI agents detect an active member without a valid contract, they flag the account for review. You can restrict which ClubPlanner tools this crew can access by using `tool_filter` in your CrewAI configuration.

Setup guide

Set up ClubPlanner 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 ClubPlanner tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent ClubPlanner 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="ClubPlanner Analyst",
        goal="Access and analyze ClubPlanner data via MCP.",
        backstory="Expert analyst with direct ClubPlanner access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ClubPlanner 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 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 CrewAI

Install `crewai[tools]` and pass your Vinkius URL directly in the agent's `mcps` array. This gives your specialized gym agents instant access to tools like `get_member` and `list_members` with this MCP Server.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter` to expose only what that agent needs, like limiting a sales agent to `create_prospect`.

One agent can retrieve the schedule using `list_appointments`, while a coordinator agent calls `create_appointment` to resolve scheduling conflicts. They pass these data payloads back and forth using CrewAI's shared memory.

Yes, CrewAI handles standard SSE and Streamable HTTP transports natively. Your agents can query `list_products` to check membership pricing tiers over a secure connection.

All check-in logs read by `list_checkins` are processed in ephemeral V8 isolates. No gym data is persisted on Vinkius servers, ensuring complete privacy for your members' attendance records with this MCP setup.

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