How to Use the WellnessLiving MCP in CrewAI

Q: Does CrewAI support complex operational tasks within WellnessLiving?

Absolutely. You assign roles—one agent to check listlocations, another to verify staff availability, and a third to draft an action plan based on those findings. It's true multi-step automation.

Q: What type of reports can CrewAI compile for WellnessLiving?

You give the monitoring agent access to getreport. The crew can then analyze revenue and retention metrics, compiling a narrative summary that goes beyond just raw numbers.

Q: How does CrewAI handle multiple services across different locations for WellnessLiving?

You let the agents coordinate. One agent runs listlocations, passes the results to another which then executes listservices against each location's context, building a complete operational map.

Run autonomous operational teams with CrewAI for WellnessLiving management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WellnessLiving MCP to CrewAI

Create your Vinkius account to connect WellnessLiving 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.

GDPR Free for Subscribers

Setup WellnessLiving with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative Client Research and Analysis

You deploy a crew where Agent A uses `search_clients` to find profiles, while Agent B analyzes the resulting visit history. The shared memory allows Agent C to take action based on that combined research. This means you're not just querying data; you're simulating a team working together to understand client trends.

Automated Operational Setup Monitoring

A monitoring agent can watch for discrepancies between your `list_services` and `list_staff` records. If a service is listed but has zero associated staff, the moderator agent flags it immediately. CrewAI handles sequential execution: one agent checks availability, another confirms required credentials.

Coordinated Reporting and Data Gathering

You can set up a multi-agent pipeline where Agent A gathers raw metrics using `get_report`. Agent B then takes the attendance data and cross-references it with `list_memberships` to calculate revenue adjustments. The outcome is an automated, fully analyzed report ready for action.

Setup guide

Set up WellnessLiving 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 WellnessLiving tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent WellnessLiving 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 WellnessLiving. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WellnessLiving now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WellnessLiving MCP in CrewAI

A crew of agents can automatically search for clients using `search_clients`, gather their full profile data, and even compare their current memberships against standard plans listed in the MCP Server.

Absolutely. You assign roles—one agent to check `list_locations`, another to verify staff availability, and a third to draft an action plan based on those findings. It's true multi-step automation.

You give the monitoring agent access to `get_report`. The crew can then analyze revenue and retention metrics, compiling a narrative summary that goes beyond just raw numbers.

You let the agents coordinate. One agent runs `list_locations`, passes the results to another which then executes `list_services` against each location's context, building a complete operational map.

The server touches Client Profile Data. By assigning specific roles to agents, you control exactly which agent can access and process sensitive client information, keeping the actions auditable.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript