How to Use the Wellhub MCP in AutoGen
Drive consensus-based decisions across Wellhub systems using AutoGen agents.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Wellhub MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 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
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Wellhub tools and returns structured results.
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) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Wellhub_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Wellhub data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wellhub. 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
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Real-time monitoring
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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.
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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
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