How to Use the Deadline Calculator MCP in Google ADK

Q: How do I add the Deadline Calculator to my Google ADK agent?

You use McpToolset to wrap the server parameters. By passing this toolset into your LlmAgent definition, your agent gains the ability to calculate deadlines using the provided toolset.

Q: Can I filter specific tools in Google ADK?

Yes. You can use a tool name filter when configuring your McpToolset. This allows you to expose only the specific deadline tools your agent needs for its current task.

Integrate precise date logic into your Google ADK enterprise agents.

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Connect Deadline Calculator MCP to Google ADK

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Setup Deadline Calculator with Google ADK

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Business day scheduling for Google ADK

Enterprise workflows depend on accurate business day counts. Your agent uses `business_deadline_tool` to process delivery dates that account for your specific regional workweeks. This connects to your broader Google Cloud agent infrastructure, allowing you to trigger date calculations directly from data stored in BigQuery or other internal services.

Raw calendar timeline generation

When you need to calculate dates based on absolute time, `calendar_deadline_tool` is the standard. It adds days to your start date while ignoring business day nuances. Your agent uses this for simple duration calculations, keeping your Google ADK deployment efficient and lightweight.

Regional holiday lookup for agents

Localizing your agent operations requires knowledge of public holidays. The `holiday_registry_tool` allows your agent to pull official regional holiday lists in real time. By checking this registry, your agent avoids scheduling errors that typically occur when ignoring local administrative holidays.

Setup guide

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

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Common questions about Deadline Calculator MCP in Google ADK

You use `McpToolset` to wrap the server parameters. By passing this toolset into your `LlmAgent` definition, your agent gains the ability to calculate deadlines using the provided toolset.

Yes. You can use a tool name filter when configuring your `McpToolset`. This allows you to expose only the specific deadline tools your agent needs for its current task.

Your agent can pipe data from BigQuery into these tools as arguments. This means you can calculate deadlines for thousands of records by iterating through your database rows.

The server supports both transport methods. You choose the one that matches your Google Cloud infrastructure needs for better connectivity.

The tool only receives the specific dates and region codes required for the calculation. It does not store your project's sensitive timeline metadata or user information.

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