How to Use the Date Utils Engine MCP in Google ADK

Q: How do I add Date Utils Engine to Google ADK?

Initialize an McpToolset using StreamableHttpServerParameters with your Vinkius date engine URL. Attach that toolset to the tools list in your LlmAgent configuration so Gemini can access the calendar math functions.

Give your Gemini models flawless calendar math. This MCP Server provides deterministic timezone and interval calculations for Google ADK.

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Connect Date Utils Engine MCP to Google ADK

Create your Vinkius account to connect Date Utils Engine 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 Date Utils Engine with Google ADK

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Deterministic Math for Google ADK

The `add_days` tool solves calendar arithmetic failures by shifting date calculations away from the LLM and into a dedicated runtime. Gemini models excel at long-context reasoning but fail at simple math. You feed it a base ISO string and a target day count. Passing this MCP Server via `McpToolset` to your `LlmAgent` lets the model manipulate dates without hallucinating leap years. Enterprise workflows running on Google Cloud require exact scheduling, which this integration guarantees.

Parse and Diff BigQuery Timestamps

Invoking `diff_dates` gives your agent the exact span in days, hours, minutes, and seconds between two ISO strings. Analyzing logs requires knowing exactly how much time passed between events. Raw database extracts often contain messy formats that trip up agents. Running them through `parse_date` first ensures the model only works with confirmed valid date objects before attempting any analytics.

IANA Timezone Resolution

The `to_timezone` tool accepts a UTC string and an IANA identifier, returning the exact local time based on current global rules. Daylight saving time rules break custom prompts constantly. This integration handles the complexity of global scheduling for your agents. When your Gemini system needs to trigger an action at 9 AM in Tokyo, it gets the correct offset every single time.

Setup guide

Set up Date Utils Engine 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 Date Utils Engine 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="Date Utils Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Date Utils Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Date Utils Engine MCP in Google ADK

Initialize an `McpToolset` using `StreamableHttpServerParameters` with your Vinkius date engine URL. Attach that toolset to the `tools` list in your `LlmAgent` configuration so Gemini can access the calendar math functions.

Filtering the exposed calendar endpoints takes seconds. Use the `tool_names` parameter in your setup to only surface specific operations like `add_days` or `parse_date`.

Data warehouses store everything in UTC, but users want local time reports. This integration gives your agent a reliable way to map those database timestamps to local timezones accurately.

Fetching a timezone offset via HTTP transport adds minimal latency to the execution step. The time saved by avoiding hallucinated dates and failed API calls easily offsets the network request.

Every ISO string and timezone request processes inside a zero-trust execution boundary. Vinkius handles the math ephemerally and drops the memory instantly, ensuring your scheduling data never persists.

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