Bring Electricity Market
to Pydantic AI
Create your Vinkius account to connect AEMO Australian Energy to Pydantic AI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the AEMO Australian Energy MCP Server?
Connect to OpenElectricity API (powered by AEMO data) and bring real-time Australian energy market intelligence to any AI agent. Monitor the National Electricity Market (NEM) and Wholesale Electricity Market (WEM), track renewable energy transition, and analyze power generation across all Australian states.
What you can do
- Spot Prices — Retrieve real-time and historical wholesale electricity prices (RRP) by Australian region (NSW, VIC, QLD, SA, TAS)
- Power Generation — Access total network generation and breakdown by fuel technology (solar, wind, coal, gas, hydro, battery)
- Energy Demand — Monitor electricity demand across the NEM with 5-minute, hourly, daily, or monthly granularity
- Facility Data — Get generation output from specific power stations, solar farms, wind farms, and battery installations
- Renewable Proportion — Track what percentage of Australia's electricity comes from renewable sources in real-time
- Regional Analysis — Compare power generation and demand across Australian states and territories
- Emissions Tracking — Query pollution data including NOx, SO2, CO, PM10, PM2.5 from the National Pollutant Inventory
- Market Updates — Fetch commentary and updates about price spikes, outages, and notable market events
- Facility Registry — List all energy generation facilities with their fuel type, status, and capacity
- Available Metrics — Explore the full range of queryable metrics in the API
- User Account — Check your API plan, rate limits, and usage statistics
- Plans & Pricing — View available subscription tiers and features
How it works
- Subscribe to this server
- Enter your OpenElectricity API Bearer token (free Community plan available)
- Start querying Australian energy data from Claude, Cursor, or any MCP-compatible client
Your AI becomes an Australian energy analyst, helping you understand the grid, track the renewable transition, and make data-driven decisions.
Who is this for?
- Energy Analysts — retrieve spot prices, generation mix, and demand forecasts for market reports
- Sustainability Teams — monitor renewable energy proportions and emissions for environmental reporting
- Researchers & Academics — access granular 5-minute interval data for energy studies and modeling
- Homeowners with Solar — understand when wholesale prices are negative (solar duck curve) and optimize self-consumption
- EV Owners — find optimal charging times when prices are low and renewable proportion is high
- Policy Makers — track Australia's energy transition progress and state-by-state renewable adoption
Built-in capabilities (12)
g. "ER01" for Eraring, "BNGSF1" for Bungala Solar). Shows actual output over time. Get generation data for a specific energy facility
Supports interval and date range filtering. Get market data including spot prices and demand by region
Get market updates and social posts from OpenElectricity
Useful for understanding the energy mix and renewable vs fossil fuel split. Get network data grouped by fuel technology type
Get network data grouped by Australian region/state
Supports interval aggregation (5m, 1h, 1d, 7d, 1M, 1y) and date range filtering. Get time series network data for power, energy, demand and generation
Get available API plans and pricing tiers
5, VOC) reported to the National Pollutant Inventory by energy facilities. Filter by facility, pollutant, or category. Get pollution and emissions data from NPI (National Pollutant Inventory)
Essential for tracking Australia's energy transition progress. Get renewable energy proportion data
Get current user profile and API account details
Filter by fuel technology, status, network, or facility code. List energy facilities and generation units
List all available metrics in the OpenElectricity API
Why Pydantic AI?
Pydantic AI validates every AEMO Australian Energy tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AEMO Australian Energy integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your AEMO Australian Energy connection logic from agent behavior for testable, maintainable code
AEMO Australian Energy in Pydantic AI
Why run AEMO Australian Energy with Vinkius?
The AEMO Australian Energy connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect AEMO Australian Energy using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
AEMO Australian Energy and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect AEMO Australian Energy to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
AEMO Australian Energy for Pydantic AI
Every request between Pydantic AI and AEMO Australian Energy is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What Australian regions/states are covered in the NEM data?
The National Electricity Market (NEM) covers five regions: New South Wales (NSW1), Victoria (VIC1), Queensland (QLD1), South Australia (SA1), and Tasmania (TAS1). The API also supports the Wholesale Electricity Market (WEM) for Western Australia. Data is available at both the national aggregate level and broken down by individual region.
How do I get an API token for OpenElectricity?
Visit the OpenElectricity developer portal at https://openelectricity.org.au/content/developers and sign up for a free Community plan. You'll receive a Bearer token that you can paste into the credential field. The Community plan provides generous rate limits suitable for individual use and research. Higher-tier plans (Pro, Academic, Enterprise) are available for commercial applications.
Can I track the percentage of renewable energy in real-time?
Yes! Use the get_renewable_proportion tool to fetch the current percentage of electricity generation coming from renewable sources (solar, wind, hydro, battery) versus fossil fuels (coal, gas). You can query this at 5-minute intervals for live tracking, or aggregate to hourly, daily, or monthly views. The get_network_by_fueltech tool also provides a detailed breakdown showing each technology's contribution separately.
What time intervals are available for querying historical data?
The API supports multiple time granularities: 5m (5-minute intervals, most granular), 1h (hourly), 1d (daily), 7d (weekly), 1M (monthly), 3M (quarterly), 1y (yearly), season (seasonal aggregation), and fy (financial year). You can specify date ranges using date_start and date_end parameters in ISO format. Historical data extends back several years for most metrics.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your AEMO Australian Energy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai
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