# AEMO Australian Energy MCP for AI Agents MCP

> AEMO Australian Energy MCP gives your AI agents instant access to Australia’s National Electricity Market (NEM) intelligence. Pull real-time and historical wholesale electricity spot prices, track power generation breakdown by fuel type (solar, wind, coal), monitor regional demand changes, and analyze emissions data across all major Australian states.

## Overview
- **Category:** the-unthinkable
- **Price:** Free
- **Tags:** electricity-market, wholesale-pricing, renewable-energy, market-intelligence, real-time-data, power-generation

## Description

This MCP connects your AI agent directly to the OpenElectricity API, pulling deep, live insights into Australia's complex energy market. Forget manual spreadsheet downloads or fragmented dashboard views. You can now ask your agent specific questions—like 'What is the expected grid demand next week?' or 'How does the renewable proportion compare between NSW and QLD?' The system handles fetching everything from 5-minute interval spot prices to detailed pollution metrics.

Whether you're modeling the impact of a new wind farm, tracking compliance for emissions reporting, or just optimizing solar usage at home, your AI becomes an instant energy analyst. Because Vinkius hosts and manages this MCP, you connect once with any compatible agent client and get access to this entire suite of Australian market data.

It's about getting immediate answers on Australia’s grid health and tracking the renewable transition, all without writing a single API query.

## Tools

### list_facilities
Lists all energy facilities and generation units, allowing filtering by fuel type or status.

### get_facility_data
Retrieves the actual output data over time for a specific named energy facility.

### get_market_data
Gets detailed market information, including spot prices and demand figures, filtered by region and date range.

### list_metrics
Provides a list of every single metric available for querying in the OpenElectricity API.

### get_network_by_fueltech
Retrieves network data grouped by fuel technology type, helping map out the energy mix (e.g., coal vs. wind).

### get_network_by_region
Gets network data specifically organized and grouped by Australian state or territory.

### get_network_data
Fetches time series network data for power, energy, demand, and generation across customizable intervals (5m to 1y).

### get_plans
Get available API plans and pricing tiers

### get_pollution_data
Gathers pollution and emissions metrics from the National Pollutant Inventory, filterable by pollutant or facility.

### get_renewable_proportion
Provides essential data tracking what percentage of Australia's electricity comes from renewable sources.

### get_market_updates
Fetches recent market commentary and social posts regarding price spikes or outages.

### get_user_profile
Checks your current API plan details, rate limits, and overall account usage statistics.

## Prompt Examples

**Prompt:** 
```
What were the biggest price swings in Victoria last month?
```

**Response:** 
```
**Victoria Spot Price Analysis (Last 30 Days)**

| Date Range | Avg. Price ($/MWh) | Max Spike | Primary Driver |
| :---: | :---: | :---: | :---: |
| Jan 1 - Jan 7 | $85 | $120 | High demand, low wind output |
| Feb 1 - Feb 7 | $62 | $95 | Strong solar penetration (Utility Solar) |

The biggest spike occurred on Jan 3rd. The system shows that high industrial demand coincided with an unexpected drop in hydro generation, leading to the price surge.
```

**Prompt:** 
```
Show me how emissions changed compared to last quarter.
```

**Response:** 
```
**National Emissions Trend (NOx & SO2)**

* **Metric:** Pollution Load (Tonnes)
* **Timeframe:** Q1 2024 vs. Q4 2023
* **Observation:** Total NOx emissions rose by 8% this quarter, while SO2 dropped 15%. This decrease is directly correlated with the increased capacity of battery storage units being brought online at major facilities.
```

**Prompt:** 
```
How are solar and wind impacting different states right now?
```

**Response:** 
```
**Current Regional Generation Mix Snapshot**

* **NSW:** Dominated by coal (55%), but utility solar is adding 12%.
* **VIC:** Shows a robust mix. Wind accounts for 20%, while rooftop solar makes up 8%. This combination keeps the average price stable.
* **QLD:** High reliance on gas (40%) due to lower regional interconnection capacity.
```

## Capabilities

### Analyze Wholesale Market Pricing
Retrieve real-time and historical wholesale electricity prices (RRP) for specific Australian regions like NSW, VIC, or QLD.

### Model Energy Generation Mix
Access total network generation data broken down by source, including solar, wind, coal, natural gas, hydro, and battery storage.

### Track Emissions Compliance Data
Query detailed pollution metrics (like NOx or PM2.5) reported to the National Pollutant Inventory for compliance reporting.

### Monitor Regional Grid Demand
Check electricity demand trends across the NEM with granular options, including 5-minute and hourly intervals.

### Identify Facility Output Status
Get specific generation output data for named facilities, such as a solar farm or wind park, over time.

## Use Cases

### Modeling the effect of new coal closures
A planner needs to understand how reducing capacity changes market stability. They ask their agent to compare historical power generation data (via `get_network_data`) before and after a major facility shutdown, mapping out potential spikes in spot prices.

### Creating an annual emissions report
A sustainability team must prove compliance. They use the MCP to pull detailed pollution data via `get_pollution_data` for specific facilities across multiple years, ensuring their environmental reporting is accurate and defensible.

### Optimizing EV charging schedules
An EV owner wants to minimize cost. They ask the agent to check both real-time market data (`get_market_data`) and the renewable proportion, identifying the cheapest times when solar power is peaking for optimal charging.

### Comparing state energy resilience
A researcher needs a comparative view. They use `get_network_by_region` to pull generation and demand metrics across NSW, VIC, and QLD simultaneously, allowing them to visualize regional differences in grid health.

## Benefits

- Analyze immediate price action: Use the `get_market_data` tool to instantly pull current and historical wholesale electricity prices by region, essential for financial modeling.
- Understand the grid mix in depth: Grouping data by fuel technology using `get_network_by_fueltech` lets you map exactly what percentage of power comes from solar versus coal right now.
- Improve compliance reporting: The ability to pull pollution and emissions data via `get_pollution_data` streamlines environmental impact assessments significantly.
- Optimize energy consumption: By checking the renewable proportion using `get_renewable_proportion`, homeowners or EV owners know exactly when prices are low and clean power is abundant.
- Identify asset performance gaps: Use `get_facility_data` to track specific output from individual solar farms, wind parks, or battery installations over time.

## How It Works

The bottom line is that you'll get actionable Australian electricity market intelligence without leaving your chat interface.

1. Subscribe to the AEMO Australian Energy MCP within Vinkius.
2. Enter your OpenElectricity API Bearer token (a free Community plan is available).
3. Instruct your AI client to query specific market questions, and it handles fetching the required historical or real-time energy data.

## Frequently Asked Questions

**How can I use the AEMO Australian Energy MCP for AI Agents to track wholesale electricity prices?**
You ask your agent for current or historical spot prices, and it instantly retrieves data by region (NSW, VIC, etc.). It makes complex market trends easy to visualize and analyze in natural language.

**Does the AEMO Australian Energy MCP cover emissions tracking?**
Yes. You can query detailed pollution metrics like NOx or PM2.5 from facilities using the MCP, which is crucial for generating accurate environmental reports and compliance documents.

**What kind of generation mix data can I get with AEMO Australian Energy MCP?**
The MCP gives you a full breakdown: total power generated by solar, wind, coal, gas, hydro, and battery. You'll know exactly how clean the grid is at any moment.

**Is AEMO Australian Energy MCP useful for optimizing home solar use?**
Absolutely. By combining real-time market data with the renewable proportion metrics, your agent can tell you when wholesale prices are lowest and clean power is peaking, helping you optimize self-consumption.

**Can I compare demand patterns across different Australian states?**
Yes. You use the MCP to pull network data grouped by region. This lets you see how electricity demand shifts between state boundaries, which is vital for grid planning and infrastructure investment.