Bring Corporate Wellness
to LangChain
Create your Vinkius account to connect Wellhub to LangChain and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Wellhub MCP Server?
Connect your Wellhub (formerly Gympass) account to any AI agent and manage your corporate wellness program through natural conversation.
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
Who is this for?
- HR Directors — Monitor employee wellness program utilization and ROI
- Fitness Partners — Track Wellhub member check-ins and booking volume
- Benefits Managers — Verify eligibility and manage corporate wellness enrollment
- Operations — Real-time check-in validation and facility management
Built-in capabilities (8)
Returns plan tier and access permissions. Check employee eligibility
Get partner profile
Shows class name, time, member name, and booking status. List class bookings
Shows gym name, date, time, and plan used. Essential for utilization reporting. List gym check-ins
Shows schedule, capacity, and available spots visible to corporate members. List available classes
Shows plan tier, activation date, and usage status. List eligible corporate employees
List partner locations
Confirms plan eligibility and records the visit. Called when a member scans their QR code at the front desk. Validate a gym check-in
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Wellhub through native MCP adapters. Connect 8 tools via 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.
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The largest ecosystem of integrations, chains, and agents. combine Wellhub MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Wellhub queries for multi-turn workflows
Wellhub in LangChain
Why run Wellhub with Vinkius?
The Wellhub connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Wellhub using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Wellhub and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Wellhub to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Wellhub for LangChain
Every request between LangChain and Wellhub is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What is Wellhub?
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.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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