How to Use the WellnessLiving MCP in Google ADK

Q: How does Google ADK assist with class scheduling in WellnessLiving?

It uses listschedule. Your agent can pull the full class schedule, checking conflicts or availability across multiple locations. Since it integrates with BigQuery, it handles large-scale scheduling data easily.

Q: Can I use Google ADK to find client history in WellnessLiving?

Yes. The searchclients tool lets you access a profile, memberships, and visit history all at once. Your AI client can then process this full record within the Gemini model's large context window.

Q: What if I need business operational reports using Google ADK with WellnessLiving?

You use getreport. This tool covers attendance, revenue, and retention. Because of native BigQuery connections, the agent can process these metrics efficiently for enterprise-level reporting.

Q: Does Google ADK help list all business locations in WellnessLiving?

Yes. The listlocations tool pulls a complete list of all operating sites. This is key if you manage multiple branches and need to know where staff or clients are located.

Build enterprise studio agents with Google ADK for WellnessLiving operations.

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 Google ADK

Create your Vinkius account to connect WellnessLiving to Google ADK 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 Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Membership Plans via MCP Server

Need to list available packages? The `list_memberships` tool gives you a full catalog of membership plans. This is critical when your agent needs to advise clients or staff on upgrading their service. Google ADK integrates this directly into your Google Cloud workflow, letting the Gemini model reason over these options and present them logically.

Generate WellnessLiving Client Reports

The `get_report` tool lets you pull attendance, revenue, or retention metrics for deep analysis. Because of BigQuery integration via Google ADK, the agent can handle massive datasets and complex temporal queries. You're not just getting a number; your AI client is running an enterprise-grade query that respects the full data context in Google Cloud.

Examine Client Profiles with MCP Server

The `get_client` tool retrieves a detailed profile for any given client. This goes beyond just names, giving you essential background info needed by your staff or management team. Using Google ADK ensures that the agent can take this structured data and combine it with other sources in BigQuery for richer insights.

Setup guide

Set up WellnessLiving MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WellnessLiving tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WellnessLiving_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WellnessLiving tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

It uses `list_schedule`. Your agent can pull the full class schedule, checking conflicts or availability across multiple locations. Since it integrates with BigQuery, it handles large-scale scheduling data easily.

Yes. The `search_clients` tool lets you access a profile, memberships, and visit history all at once. Your AI client can then process this full record within the Gemini model's large context window.

You use `get_report`. This tool covers attendance, revenue, and retention. Because of native BigQuery connections, the agent can process these metrics efficiently for enterprise-level reporting.

Yes. The `list_locations` tool pulls a complete list of all operating sites. This is key if you manage multiple branches and need to know where staff or clients are located.

The server accesses operational, scheduling, and financial metrics—specifically revenue figures, attendance counts, and retention rates. The `get_report` tool manages this comprehensive business intelligence.

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