How to Use the Calendarific MCP in Google ADK

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

Yes. Use the toolnames filter during your McpToolset configuration. This restricts the agent to only the specific holiday functions you choose to expose.

Connect Calendarific to your Google ADK agents to inject global schedule intelligence into your BigQuery-backed workflows.

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Connect Calendarific MCP to Google ADK

Create your Vinkius account to connect Calendarific 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 Calendarific with Google ADK

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List supported countries via Google ADK

Call `list_supported_countries` to get an inventory of valid ISO codes. Your agent then uses this list to parameterize subsequent holiday requests. This keeps your agent's queries aligned with the API's requirements. You spend less time debugging invalid inputs and more time building your application.

Filter holiday types in Google ADK agents

Invoke `list_holidays_by_type` to separate religious dates from national public holidays. Your agent sorts these results to manage complex calendars effectively. This provides the granularity needed for enterprise scheduling. You gain control over the specific categories of dates your agent considers.

Support multiple languages with Google ADK

Use `list_supported_languages` to identify which regions support localized holiday names. Your agent pulls the correct locale string for your target audience. This ensures your output matches your users' expectations. You get accurate, localized information without manual translation steps.

Setup guide

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

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Common questions about Calendarific MCP in Google ADK

Initialize a McpToolset with the server's HTTP endpoint. Add this toolset to your LlmAgent to allow it to query holiday data alongside your BigQuery records.

Yes. Use the tool_names filter during your McpToolset configuration. This restricts the agent to only the specific holiday functions you choose to expose.

Yes. Gemini models using this SDK can digest large holiday datasets returned by the server. It fits perfectly into your high-token enterprise workflows.

Yes, it supports both Stdio and HTTP transports. You choose the transport that matches your current Google Cloud infrastructure layout.

Your queries stay within a V8 isolate sandbox. We do not persist your specific holiday search history, ensuring that your data footprint remains strictly limited to the current session.

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