Wellhub (formerly Gympass) is the world's largest corporate wellness platform, providing employees access to 50,000+ gyms, studios, and wellness apps in 11 countries. Companies subscribe to provide fitness benefits, and partner gyms receive Wellhub members.

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

Name: Wellhub
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wellhub Specialist",
    goal="Help users interact with Wellhub effectively",
    backstory=(
        "You are an expert at leveraging Wellhub 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 Wellhub "
        "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)

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About Wellhub MCP Server

Connect your Wellhub (formerly Gympass) account to any AI agent and manage your corporate wellness program through natural conversation.

When paired with CrewAI, Wellhub becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Wellhub 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

Eligibility — Check employee eligibility, manage enrollment, and verify plan access
Check-ins — Track gym visits, validate QR codes, and monitor utilization
Bookings — View class reservations made through the Wellhub app
Classes — List published classes visible to corporate members
Locations — Manage partner gym and studio locations
Partner Profile — Access business details, amenities, and network tier

The Wellhub 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 Wellhub to CrewAI via MCP

Follow these steps to integrate the Wellhub 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 Wellhub

Why Use CrewAI with the Wellhub MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Wellhub 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

Wellhub + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Wellhub 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 Wellhub, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Wellhub 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 Wellhub against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Wellhub MCP Tools for CrewAI (8)

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

check_eligibility

Returns plan tier and access permissions. Check employee eligibility

get_partner_info

Get partner profile

list_bookings

Shows class name, time, member name, and booking status. List class bookings

list_check_ins

Shows gym name, date, time, and plan used. Essential for utilization reporting. List gym check-ins

list_classes

Shows schedule, capacity, and available spots visible to corporate members. List available classes

list_eligible_employees

Shows plan tier, activation date, and usage status. List eligible corporate employees

list_locations

List partner locations

validate_check_in

Confirms plan eligibility and records the visit. Called when a member scans their QR code at the front desk. Validate a gym check-in

Example Prompts for Wellhub in CrewAI

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

"How many Wellhub check-ins did we have this week?"

"Verify if Alex Johnson is eligible for the Silver tier."

"List the upcoming Yoga classes available to Wellhub members at our main location."

Troubleshooting Wellhub MCP Server with CrewAI

Common issues when connecting Wellhub 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.

Wellhub + CrewAI FAQ

Common questions about integrating Wellhub 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.