How to Use the Universal Unit Converter MCP in Google ADK

Q: What is the scope of Universal Unit Converter's conversions?

The scope covers four main areas: metric/imperial weight (convertweight), length (convertlength), temperature (converttemperature), and digital storage (convertdigitalstorage). It’s a general utility for physical measurements.

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Connect Universal Unit Converter MCP to Google ADK

Create your Vinkius account to connect Universal Unit Converter 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 Universal Unit Converter with Google ADK

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Unit Math via MCP Server

The Universal Unit Converter lets your Gemini agent run precise math on physical units. You call the tool, and it handles conversions like length or temperature flawlessly. This means you can process data retrieved from BigQuery—say, distance measurements—and instantly convert them to a standard format using `convert_length`.

Standardized Measurement Tools

We're talking about four core tools here: `convert_weight`, `convert_temperature`, `convert_length`, and `convert_digital_storage`. They give your agent a consistent way to measure things. If you’ve got raw data coming in, the MCP Server ensures that whether it's weight or temperature, the conversion logic is solid and predictable for your enterprise workflows.

Handling Storage Units

The `convert_digital_storage` tool makes sure your agent correctly interprets file sizes. It uses binary prefixes (KB, MB, etc.), which is critical when analyzing large datasets in Vertex AI. This deterministic engine means the conversion result you get is exactly what's expected, avoiding ambiguous or approximate math.

Setup guide

Set up Universal Unit Converter 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 Universal Unit Converter 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="Universal Unit Converter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Universal Unit Converter tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Universal Unit Converter MCP in Google ADK

You pass the MCP toolset to your LlmAgent. When the agent needs a conversion—say, converting imperial miles to metric kilometers—it calls the `convert_length` tool directly through the framework.

Yes. It handles four distinct categories of measurement: weight, length, temperature, and digital storage. This separation keeps the logic clean, so your agent can use the right tool for the job.

It deals with numeric values representing various physical units (e.g., temperature in Celsius or Fahrenheit). The input and output are always numbers, guaranteeing mathematical consistency across your Google Cloud applications.

It does. Instead of writing custom math functions into your agent code, you call this dedicated server. This guarantees deterministic results every time, improving overall data reliability in BigQuery and Vertex AI.

The scope covers four main areas: metric/imperial weight (`convert_weight`), length (`convert_length`), temperature (`convert_temperature`), and digital storage (`convert_digital_storage`). It’s a general utility for physical measurements.

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