How to Use the WellnessLiving MCP in LangChain

Q: Can I check class availability with WellnessLiving and LangChain?

Yep. You use listservices to see what classes are offered, then pass that list into listschedule to find out when they're happening.

Q: Does the MCP Server support multiple WellnessLiving functions with LangChain?

Absolutely. You can string together tools like getbusinessinfo and listmemberships in a single, logical workflow chain.

Build multi-step automation chains for WellnessLiving using LangChain.

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Connect WellnessLiving MCP to LangChain

Create your Vinkius account to connect WellnessLiving to LangChain 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 WellnessLiving with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chaining actions with the MCP Server

Need to figure out a client's history? Start by calling `search_clients` to pull their profile and memberships. Then, pass that client ID into `get_client` to get detailed personal data. This chain allows you to build multi-step reasoning pipelines where the agent decides exactly which tool to call next based on what it just found.

Generating custom WellnessLiving reports

Want a full picture of studio performance? First, use `list_locations` to identify all operating sites. Next, feed those locations into `get_report` so your agent pulls together attendance and revenue metrics for every branch. The system handles the entire sequence: locating data points and compiling them into one actionable report.

Managing studio staff schedules

Checking who's working when? The chain starts with `list_staff` to get all employee IDs. You then take those IDs and use `list_schedule` to map out their shifts for the week. This process ensures you never manually cross-reference staff lists against booking schedules again.

Setup guide

Set up WellnessLiving MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes WellnessLiving tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "wellnessliving-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent WellnessLiving transactions"
    })
    print(result["messages"][-1].content)

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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.

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Common questions about WellnessLiving MCP in LangChain

LangChain uses the MCP Server to execute specific tasks. For instance, it calls `search_clients` to pull a list of people, and then passes those names into other functions like checking their memberships.

You can retrieve client profiles, full attendance records via `get_report`, and detailed staff rosters. Everything is exposed through the MCP Server's toolset.

Yep. You use `list_services` to see what classes are offered, then pass that list into `list_schedule` to find out when they're happening.

Absolutely. You can string together tools like `get_business_info` and `list_memberships` in a single, logical workflow chain.

The server primarily touches client profile data, specifically names and membership details retrieved via the `get_client` tool.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python