How to Use the Buk MCP in Google ADK

Q: Can I use Google ADK to filter which Buk tools are exposed?

Yes, you can use the optional toolnames filter when initializing your toolset. This lets you hide administrative tools like approveleave from public-facing agents.

Q: How does Gemini handle the 14 tools provided by Buk?

Gemini easily registers all 14 tools, including listbenefits and listjobs. Its advanced reasoning engine selects the precise tool required based on the natural language prompt.

Feed live HR and payroll data directly into Google ADK to power deep workforce analysis with Gemini models.

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Connect Buk MCP to Google ADK

Create your Vinkius account to connect Buk 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 Buk with Google ADK

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Connect Google ADK to live HR metrics

Enterprise planning requires combining database records with real-time staff metrics. By exposing `get_company_stats` and `get_attendance` to your Google ADK agent, you bridge the gap between BigQuery warehouse tables and current operational realities. The agent queries your historical metrics in the cloud, then checks current status using the live tools. This allows for immediate forecasting of labor costs without manual data exports.

Analyze department schedules at scale

Gemini's million-token context window shines when parsing massive corporate structures. This MCP Server lets your agent pull entire organizational rosters using `list_departments` and `list_vacations` in a single pass. The agent ingests these massive datasets without hitting context limits. It can instantly flag scheduling conflicts or identify departments running dangerously low on active staff.

Automate enterprise offboarding pipelines

Offboarding an employee involves coordinated steps across multiple cloud platforms. Your agent can run `get_employee` to gather the target profile, then execute `delete_employee` to trigger account deactivation. By integrating this workflow into your Google Cloud pipelines, you ensure zero lag time between HR decisions and system access removal. The agent logs every action back to your enterprise logging system.

Setup guide

Set up Buk 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 Buk 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="Buk_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Buk tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Buk MCP in Google ADK

You instantiate McpToolset using the Streamable HTTP transport parameters pointing to your Vinkius URL. Then, pass that toolset object directly into your LlmAgent configuration.

Yes, you can use the optional tool_names filter when initializing your toolset. This lets you hide administrative tools like approve_leave from public-facing agents.

Yes, Google ADK can connect via either transport. For cloud-hosted enterprise agents, the HTTP transport managed by Vinkius is the most reliable option.

Gemini easily registers all 14 tools, including list_benefits and list_jobs. Its advanced reasoning engine selects the precise tool required based on the natural language prompt.

All employee identities, leave requests, and payroll snapshots are transmitted via encrypted HTTPS channels. Vinkius executes the code in isolated V8 sandboxes, ensuring your proprietary HR data is never exposed to external storage.

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