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How to Use the Gusto MCP in Google ADK

Integrate Gusto into your Google ADK agent to query HR data alongside BigQuery.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers - Free for Subscribers
Google ADK

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.

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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.

Setup guide

Set up Gusto MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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.

agent.py
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

Use the `McpToolset` class with your server URL. Pass it into your `LlmAgent` tools list to start making calls to Gusto.
The server uses `get_payroll` to fetch specific run details. Your agent can process this information within its 1M+ token context window.
You can join the output from this MCP Server with your BigQuery datasets in your agent's logic. This lets you correlate HR data with financial performance.
Vinkius manages the endpoint token for you. You do not need to manage sensitive keys inside your Google Cloud environment.
The server uses an ephemeral sandbox. Your data is never persisted by the agent, and every interaction is isolated from other processes.

Start using the Gusto MCP today

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

Built & Managed by Vinkius 30s setup 10 tools

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

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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