How to Use the AEMO Australian Energy MCP in Google ADK

Q: Can Google ADK restrict which AEMO Australian Energy tools the agent sees?

Absolutely. You can use the toolnames filter to expose only specific functions. If you just want pricing, restrict the toolset to getmarketdata and getplans.

Q: Does the AEMO Australian Energy MCP server work with Gemini's long context?

It works perfectly. You can pull massive payloads from getnetworkdata using 5-minute intervals. Gemini absorbs the entire time-series response without truncating the data.

Q: Can I combine these tools with Vertex AI pipelines?

Yes. Your agent can fetch current pollution stats via getpollutiondata and immediately push that structured data into downstream Vertex AI workflows.

Feed Australian energy market data directly into Gemini using Google ADK. Analyze spot prices and grid metrics with massive context windows.

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Connect AEMO Australian Energy MCP to Google ADK

Create your Vinkius account to connect AEMO Australian Energy 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 AEMO Australian Energy with Google ADK

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Long-Context Grid Analysis via MCP Server

This MCP Server feeds time-series energy data straight into Gemini's massive context window. You can dump huge amounts of historical data from `get_network_data` straight into the prompt. The model reads days of interval aggregation without losing track of the underlying trends. Connecting the tools takes just a few lines of code. You initialize an McpToolset with your Vinkius URL and pass it to your LlmAgent. If you only want the model to see market updates, use the tool_names filter to restrict access to just `get_market_updates`.

Cross-Reference BigQuery and Grid Data

Your Google ADK agent pulls live spot prices from the Australian energy market to compare against internal data. Enterprise teams often have internal energy models sitting in BigQuery. Now your agent can pull live metrics using `get_market_data` and blend them natively. Regional breakdowns become trivial. The agent calls `get_network_by_region` to check South Australian demand, then writes the analysis directly to a Vertex AI pipeline. You get live OpenElectricity metrics feeding your internal cloud infrastructure.

Track Facility Output and Fuel Tech

Understanding the exact energy mix requires facility-level data from the OpenElectricity API. The model uses `get_facility_data` to check the output of specific plants like Eraring or Bungala Solar. It sees actual generation numbers over time. Grouping by generation type provides a macro view. Calling `get_network_by_fueltech` lets the agent separate renewable output from fossil fuels. It processes the raw API payload and returns a clean summary of the current grid state.

Setup guide

Set up AEMO Australian Energy 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 AEMO Australian Energy 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="AEMO Australian Energy_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AEMO Australian Energy tools via MCP.",
    tools=mcp_tools,
)

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Common questions about AEMO Australian Energy MCP in Google ADK

Install google-adk and set up an McpToolset using StreamableHttpServerParameters. Pass that toolset directly to the tools array when building your LlmAgent.

Absolutely. You can use the tool_names filter to expose only specific functions. If you just want pricing, restrict the toolset to get_market_data and get_plans.

It works perfectly. You can pull massive payloads from get_network_data using 5-minute intervals. Gemini absorbs the entire time-series response without truncating the data.

Yes. Your agent can fetch current pollution stats via get_pollution_data and immediately push that structured data into downstream Vertex AI workflows.

Authentication stays entirely on the Vinkius side. Your agent only needs one endpoint token to connect. The actual OpenElectricity credentials remain locked in an ephemeral sandbox and never touch your local machine.

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