How to Use the Business Timezone & Holiday Scheduler MCP in Google ADK

Q: Can I filter the tools exposed to my Google ADK agent?

You can use the toolnames filter in your McpToolset configuration. This restricts the agent to only the specific functions you need.

Calculate exact dates and timezones for your Google ADK infrastructure. Stop scheduling bugs before they hit your pipeline.

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Connect Business Timezone & Holiday Scheduler MCP to Google ADK

Create your Vinkius account to connect Business Timezone & Holiday Scheduler 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 Business Timezone & Holiday Scheduler with Google ADK

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Automated date math in Google ADK

The `add_business_days` tool bypasses weekends and national holidays automatically. It gives your agent the context needed to set realistic shipping or meeting dates. Integrating this into Google ADK keeps your agent grounded in real-world calendar constraints. It prevents the model from scheduling operations during downtime.

Timezone accuracy for Google ADK

Use `convert_timezone` to shift any timestamp between IANA regions. It ensures your global operations stay synced regardless of where your data originates. Your Google ADK agent can now handle complex timezone math without internal confusion. It relies on a specific tool rather than model memory for these calculations.

Streamlined calendar logic for enterprise agents

This MCP server manages the calendar math that often trips up large language models. It provides a standardized way to handle time across your infrastructure. Google ADK developers use this to offload date calculations from the core agent. It ensures your long-context reasoning stays focused on your BigQuery data.

Setup guide

Set up Business Timezone & Holiday Scheduler 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 Business Timezone & Holiday Scheduler 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="Business Timezone & Holiday Scheduler_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Business Timezone & Holiday Scheduler tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Business Timezone & Holiday Scheduler MCP in Google ADK

You instantiate the McpToolset and pass it to your LlmAgent. It connects via standard HTTP to your running server.

Yes, it provides clear, concise output for date math that keeps your context window clean. It is ideal for complex enterprise agent logic.

You can use the tool_names filter in your McpToolset configuration. This restricts the agent to only the specific functions you need.

It supports both Stdio and HTTP transports. You choose the one that fits your deployment architecture.

The server treats your timezone and country code inputs as ephemeral, transient requests. No logs or records of your scheduling queries are kept on our side.

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