How to Use the Gusto MCP in Google ADK
Integrate Gusto into your Google ADK agent to query HR data alongside BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gusto MCP to Google ADK
Create your Vinkius account to connect Gusto 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 Gusto data with your Google ADK workflow
Your agent pulls real-time staff information using `get_employee` and `list_employees`. It allows your Google Cloud-based agents to act on HR data immediately. This MCP Server connects your internal HR state to your broader data infrastructure. You get a unified view of your organization directly in your agent's memory.
Analyze payroll and organizational structure
Your agent uses `list_payrolls` and `list_departments` to generate reports on spending or headcount. It processes these records using the long-context capabilities of Gemini. Data stays consistent because your agent hits the live API. You stop wasting time on manual data exports and start using your agent to answer complex questions.
Manage time-off and benefit visibility
Your agent reads `list_time_off_policies` and `list_benefits` to clarify company rules for your team. It interprets these policies to provide accurate, context-aware responses. Every tool call is logged for full auditability. You maintain a clear trail of how your Google ADK agent interacts with sensitive company information.
Set up Gusto 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 Gusto 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="Gusto_agent",
model="gemini-2.0-flash",
instruction="You have access to Gusto 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 Gusto. 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
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 Gusto MCP in Google ADK
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