How to Use the Betterfly MCP in Google ADK
Connect Betterfly to the Google ADK and let your Gemini agents act on corporate wellness data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Betterfly MCP to Google ADK
Create your Vinkius account to connect Betterfly to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Sync Betterfly with Google ADK infrastructure
Initialize your agent with `McpToolset` to bring Betterfly functionality into your Google Cloud environment. It bridges your agents directly to wellness and ESG data sources. Your agents can now call `list_donations` or `list_insurance` as easily as querying BigQuery. It makes your Gemini-powered agents much more effective at managing HR operations.
Query wellness data with long-context reasoning
Gemini models can chew through massive datasets from `get_company_metrics` without breaking a sweat. It allows for complex analysis of aggregate health trends across your entire organization. Use the `tool_names` filter to keep your agent focused on specific operations. This prevents the model from hallucinating tool usage and keeps your agent responses precise.
Control user access through Google ADK
Your agents can manage accounts using `pause_user` or `list_users` to keep your Betterfly directory current. It turns your agent into an active administrator for your wellness platform. Everything operates over secure HTTP or Stdio transports. You get a reliable way to manage staff members while keeping your agent workflows tightly integrated with your cloud infra.
Set up Betterfly MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Betterfly tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Betterfly_agent",
model="gemini-2.0-flash",
instruction="You have access to Betterfly tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Betterfly. 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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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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place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Betterfly MCP in Google ADK
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