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How to Use the Factorial MCP in Google ADK

Integrate Factorial with Google ADK to run HR data analysis alongside your BigQuery assets.

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Google ADK

Connect Factorial MCP to Google ADK

Create your Vinkius account to connect Factorial 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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Unified HR and cloud data

Link your Factorial HR data to your Google Cloud infrastructure using `list_employees` and `list_company_teams`. Your agents now correlate staff roles with project performance stored in your data warehouse. This allows for deeper analysis of team output without moving files manually. Your agent uses these tools to fetch the employee context needed to make sense of your existing cloud metrics.

Real-time shift tracking for agents

Your Google ADK agents can now monitor `list_attendance_shifts` and `list_time_off_leaves` as part of your standard data pipelines. It treats HR availability just like any other database entry. You avoid the friction of jumping between platforms to see if a team member is available for a critical task. The agent pulls the latest schedule and updates your internal trackers automatically.

Compliance-ready document management

Use `list_hr_documents` and `list_document_folders` to allow your agents to manage company policy audits. It simplifies the way you verify `list_employee_contracts` against your existing security protocols. This makes document discovery a background task for your agent. It identifies the correct file, checks the metadata, and ensures your compliance records stay updated without you touching a single document.

Setup guide

Set up Factorial 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 Factorial 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="Factorial_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Factorial 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 Factorial. 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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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Factorial MCP in Google ADK

Yes. You can use your agent to fetch employee data from Factorial and then perform cross-referencing with your BigQuery datasets. This helps you build a clearer picture of your organization.
You can use the tool_names filter when you define your toolset. This limits the agent to only the specific tools you want it to access, like just the attendance or document functions.
The Gemini models used by Google ADK handle massive token counts, which is perfect for processing large employee directories. Your agent can digest entire lists of staff data in one pass.
You can host it wherever you prefer, as long as the endpoint is accessible to your agent. Vinkius manages the server, so you just need to point your ADK configuration to the provided URL.
Your data is handled via an ephemeral connection that does not store your HR records. The server only processes the specific employee metadata you request, keeping your information private.

Start using the Factorial MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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