How to Use the AEMO Australian Energy MCP in OpenAI Agents SDK

Q: How do I track spot price queries in my agents?

Every call to getmarketdata logs automatically. You can view the raw inputs and outputs directly inside the OpenAI dashboard tracing view.

Build production-grade energy market agents with OpenAI Agents SDK. Auto-discover Australian electricity grid data with built-in guardrails.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AEMO Australian Energy MCP to OpenAI Agents SDK

Create your Vinkius account to connect AEMO Australian Energy to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup AEMO Australian Energy with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Traceable Grid Analytics with OpenAI Agents SDK

This MCP Server pulls spot prices and demand figures from the Australian grid directly into your agent. You pass the server to the Agent constructor, and it automatically registers `get_market_data` and `get_network_data`. Handoffs between a pricing agent and a grid analysis agent work without manual tool definitions. Tracing happens by default. When your pricing agent checks current demand via the MCP Server, you see the exact payload in your OpenAI dashboard. If the model attempts to query a facility that does not exist, your custom guardrails catch the bad `get_facility_data` call before execution.

Analyze Renewable Transition Metrics

Tracking the shift from fossil fuels requires precise generation numbers from the OpenElectricity API. The `get_renewable_proportion` tool feeds directly into your analytical agents. They pull the current state of the grid and calculate transition speeds based on real data. Granular breakdowns require specific queries. Your agent can run `get_network_by_fueltech` to compare coal output against solar in real time. Because the SDK caches the tool list, performance stays high even when polling metrics repeatedly.

Monitor Facility Pollution Output

Environmental reporting agents use this server to pull National Pollutant Inventory data. The `get_pollution_data` tool grabs VOC and PM2.5 metrics reported by specific energy facilities. You filter by facility code or pollutant category right from the agent prompt. Finding the right facility takes seconds. The model runs `list_facilities` to search by fuel technology or network before requesting specific emission numbers. It handles the entire research workflow autonomously.

Setup guide

Set up AEMO Australian Energy MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all AEMO Australian Energy tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives AEMO Australian Energy tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AEMO Australian Energy tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="AEMO Australian Energy Agent",
            instructions="You have access to AEMO Australian Energy tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OpenElectricity (OpenNEM). 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AEMO Australian Energy now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AEMO Australian Energy MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your Vinkius endpoint. Pass it to the mcp_servers list in your Agent constructor.

Yes. Set cacheToolsList=True when configuring the MCP server. This stops the agent from refetching the OpenElectricity tool definitions on every single generation cycle.

The SDK guardrails intercept the request. If the model tries to pass an invalid interval to get_network_data, the framework blocks it before hitting the Vinkius endpoint.

Every call to get_market_data logs automatically. You can view the raw inputs and outputs directly inside the OpenAI dashboard tracing view.

Vinkius isolates this server in a V8 sandbox. Your spot price queries and pollution data requests never mix with other tenant environments. The connection is ephemeral, meaning your API account details from get_user_profile disappear the moment the session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript