Where do I find my API Token?

Log in to your club's myClub site, and navigate to Settings > API to generate a token. You may need admin permissions.

What is the subdomain?

The subdomain is the part before '.myclub.fi' in your URL. For example, if you use 'https://demo.myclub.fi', your subdomain is 'demo'.

myClub MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: myClub
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to myClub through the Vinkius — pass the Edge URL in the `mcps` parameter and every myClub tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="myClub Specialist",
    goal="Help users interact with myClub effectively",
    backstory=(
        "You are an expert at leveraging myClub tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in myClub "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About myClub MCP Server

Connect your myClub account to empower your AI agents with club management capabilities. This server allows for seamless coordination of sports organizations and community activities.

When paired with CrewAI, myClub becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call myClub tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Member Directory — List and inspect member profiles and registration details
Event Coordination — Monitor upcoming practices, games, and events
Billing Visibility — Access club invoices and financial records programmatically
Achievement Tracking — View member cards and earned merits within the club

The myClub MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect myClub to CrewAI via MCP

Follow these steps to integrate the myClub MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from myClub

Why Use CrewAI with the myClub MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with myClub through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

myClub + CrewAI Use Cases

Practical scenarios where CrewAI combined with the myClub MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries myClub for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries myClub, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain myClub tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries myClub against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

myClub MCP Tools for CrewAI (8)

These 8 tools become available when you connect myClub to CrewAI via MCP:

get_event

Get details for a specific event

get_invoice

Get details for a specific invoice

get_member

Get details for a specific member

list_cards

List member cards

list_events

List club events

list_invoices

List club invoices

list_members

List all club members

list_merits

List club merits

Example Prompts for myClub in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with myClub immediately.

"List all active members in the club."

"Show upcoming events for this month."

Troubleshooting myClub MCP Server with CrewAI

Common issues when connecting myClub to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

myClub + CrewAI FAQ

Common questions about integrating myClub MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.