How to Use the KeyPay MCP in Google ADK

Integrate KeyPay with Google ADK to power your Gemini-based agents with real-time payroll and business financial data.

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Connect KeyPay MCP to Google ADK

Create your Vinkius account to connect KeyPay 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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Setup KeyPay with Google ADK

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Google ADK payroll integration

Your agent can now list businesses and their associated payroll data using `list_businesses` and `get_business_details`. It bridges the gap between your cloud infrastructure and your payroll records. This MCP Server allows your Gemini-powered agent to reason over financial datasets. You get answers based on current payroll status rather than static reports.

Direct leave request processing

Query leave balances and pending requests using `list_leave_requests`. Your agent can process these entries to update your internal tracking systems automatically. It removes the latency of human-in-the-loop data entry. Your agent identifies the request and executes the necessary next step based on the data it retrieves.

Scalable pay run analysis

Handle large pay cycles by using `list_pay_runs` to monitor progress across all business units. The agent retrieves summaries and then drills down into specific details as requested. It is built for high-volume environments. You define the logic, and the agent uses these tools to maintain a clear picture of your financial obligations.

Setup guide

Set up KeyPay 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

Install Google ADK

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

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

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 KeyPay 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="KeyPay_agent",
    model="gemini-2.0-flash",
    instruction="You have access to KeyPay tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KeyPay. 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.

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Common questions about KeyPay MCP in Google ADK

You initialize the toolset by pointing it to the Vinkius endpoint. Once configured, your Gemini models gain immediate access to the payroll tools via the standard transport layer.

Yes. You can filter which tools are available to specific agents. If you only need `list_employees` and `get_employee_details`, you can restrict the toolset to those two functions.

Your agent can act as the intermediary. It retrieves data via the MCP Server and then executes the necessary commands to insert that payroll information into your BigQuery tables.

The server manages the connection lifecycle. You simply handle the agent's logic, and the MCP framework ensures the tool calls remain available throughout the agent's execution window.

The server transmits employee financial records and leave data over encrypted channels. Since your agent runs in your Google Cloud environment, the data stays within your defined security perimeter.

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