4,500+ servers built on MCP Fusion
Vinkius
Wellhub logo
Vinkius
AutoGen logo

How to Use the Wellhub MCP in AutoGen

Drive consensus-based decisions across Wellhub systems using AutoGen agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Wellhub MCP on Cursor AI Code Editor MCP Client Wellhub MCP on Claude Desktop App MCP Integration Wellhub MCP on OpenAI Agents SDK MCP Compatible Wellhub MCP on Visual Studio Code MCP Extension Client Wellhub MCP on GitHub Copilot AI Agent MCP Integration Wellhub MCP on Google Gemini AI MCP Integration Wellhub MCP on Lovable AI Development MCP Client Wellhub MCP on Mistral AI Agents MCP Compatible Wellhub MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
AutoGen

Connect Wellhub MCP to AutoGen

Create your Vinkius account to connect Wellhub to AutoGen 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

Coordinating Membership Checks with the MCP Server

Need to validate a visit? Start by having one agent call `validate_check_in`. A second, review agent then checks that result against `list_eligible_employees` to confirm plan status. They debate if the check-in is valid or requires manual intervention. The resulting consensus allows you to determine if the member's current usage status matches their expected tier before finalizing the visit record.

Resolving Booking Conflicts with AutoGen

An agent can check `list_classes` for available spots, while another reviews existing bookings using `list_bookings`. The agents then debate: 'Is this class overbooked?' or 'Does the member have a valid booking for that time slot?' The final decision is whether to allow the new reservation and what details must be confirmed before writing to the system.

Developing Location Discovery Pipelines with AutoGen

Use multiple agents to coordinate location data. Agent A calls `list_locations` for all partner sites, while Agent B uses that list to call `get_partner_info` for specific details like contact information. They then compare the datasets. This multi-agent process ensures that the final output is not just a dump of data but a curated summary detailing exactly what's needed at each location.

Setup guide

Set up Wellhub MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Wellhub tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Wellhub_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Wellhub data")
print(result.messages[-1].content)

Why Choose Vinkius

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

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 Wellhub MCP in AutoGen

You set up agents to negotiate the best path. One agent checks `list_eligible_employees` for current status, and another uses `check_eligibility` to get the specific plan tier. They must agree on the criteria before a definitive answer is returned.
Yes. You can set up agents that cross-reference `list_bookings` (class name, member name) with data from `list_check_ins` (gym name, date, plan used). The system debates if the reported utilization matches what was booked.
The server gives access to detailed partner profiles via `get_partner_info` and a list of all physical locations through `list_locations`. Agents can synthesize these details into actionable summaries.
Agents negotiate the best schedule. One agent calls `list_classes` for capacity and spots, while another checks `list_bookings` to ensure no immediate conflicts exist for corporate members.
This MCP Server touches employee plan tier and usage status. The `list_eligible_employees` tool provides access to a user's plan tier and activation date.

Start using the Wellhub MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Wellhub. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.