How to Use the Appliance Energy Calculator MCP in Google ADK

Calculate utility costs at enterprise scale with Google ADK.

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Connect Appliance Energy Calculator MCP to Google ADK

Create your Vinkius account to connect Appliance Energy Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Appliance Energy Calculator with Google ADK

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Appliance Energy Calculator MCP

Connect your Gemini ecosystem directly to physical power metrics. When you call `get_appliance_impact_summary`, the MCP returns the full financial and energy footprint for any device. This fits perfectly into a long-context workflow. You can dump thousands of rows of appliance specs from BigQuery into your agent and let it analyze the entire dataset against these utility calculations.

Measure Daily Grid Load

Find out exactly how much power a device pulls in a 24-hour window. Use `calculate_daily_consumption` to turn raw wattage and run hours into hard kilowatt-hour figures. Your AI client crunches these numbers instantly. You can route the output straight into Vertex AI for further predictive modeling on peak load times.

Forecast Monthly Budgets

People care about the final bill. Take those daily energy numbers and push them through `calculate_monthly_expenses`. It applies the specific utility tariff to show the actual dollar cost. Forget manual spreadsheet math. Your Google Cloud agent handles the financial projections automatically. You get actionable cost estimates that users actually understand.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appliance Energy Calculator. 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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Common questions about Appliance Energy Calculator MCP in Google ADK

Use the McpToolset class with StreamableHttpServerParameters. Point it at the endpoint and pass it to your LlmAgent. You can filter specific tools if you only need certain functions.

Yes. Your agent can pull historical appliance usage data from BigQuery and feed it directly into the MCP. This makes bulk utility calculations incredibly fast.

It works perfectly. You can paste an entire PDF of utility tariffs or manufacturer specs into the prompt. The agent will extract the right numbers and run the math.

The SDK supports both Stdio and HTTP transports. For remote endpoints like this one, HTTP is the standard approach.

The tool only touches anonymous hardware specs like appliance wattage and generic electricity prices. It processes the math in memory and discards the inputs immediately. Your enterprise data stays secure.

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