How to Use the Calendarific Alternative MCP in Google ADK
Feed global holiday data directly to your Google ADK agents to align BigQuery datasets with regional calendars.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Calendarific Alternative MCP to Google ADK
Create your Vinkius account to connect Calendarific Alternative 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.
BigQuery Data Alignment via Google ADK
The `get_holidays` tool pulls localized holiday schedules directly into your Google ADK workflows to filter transactional data. Your agents run queries on BigQuery, cross-referencing transaction spikes against regional public holidays. You initialize this tool using `McpToolset` and pass it to your `LlmAgent`. Gemini models use their massive context window to analyze years of holiday trends alongside your warehouse data.
Regional Filtering with Google ADK MCP Server Tools
The `list_supported_countries` tool provides your Google ADK agent with a clean list of supported regions before executing batch data pipelines. This keeps your pipeline logic clean by filtering out unsupported countries early. By passing `StreamableHttpServerParameters` to your toolset, your agent quickly queries the endpoint. You can also use the `tool_names` filter if you only want to expose country validation to specific LlmAgent instances.
Long-Context Holiday Analysis
The `get_holidays` tool injects global holiday schedules into Gemini's million-token context window. This allows your agent to construct complex, multi-year business forecasts across dozens of countries simultaneously. Your agent handles the HTTP transport natively through the ADK toolset. This setup ensures that your enterprise pipelines remain fully integrated with Google Cloud infrastructure without custom API wrappers.
Set up Calendarific Alternative MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Alternative tools in your ADK agent.
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 Alternative_agent",
model="gemini-2.0-flash",
instruction="You have access to Calendarific Alternative 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 Calendarific. 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.
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