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 LangChain 8 tools — connect in under 2 minutes

Name: Wellhub
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wellhub through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wellhub": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wellhub, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Wellhub through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Wellhub MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Wellhub via MCP

Why Use LangChain with the Wellhub MCP Server

LangChain provides unique advantages when paired with Wellhub through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Wellhub MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Wellhub queries for multi-turn workflows

Wellhub + LangChain Use Cases

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

RAG with live data: combine Wellhub tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Wellhub, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Wellhub tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Wellhub tool call, measure latency, and optimize your agent's performance

Wellhub MCP Tools for LangChain (8)

These 8 tools become available when you connect Wellhub to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Wellhub to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wellhub + LangChain FAQ

Common questions about integrating Wellhub MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.