AEMO Australian Energy MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AEMO Australian Energy through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to AEMO Australian Energy "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in AEMO Australian Energy?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
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.
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
The AEMO Australian Energy MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AEMO Australian Energy to Pydantic AI via MCP
Follow these steps to integrate the AEMO Australian Energy MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from AEMO Australian Energy with type-safe schemas
Why Use Pydantic AI with the AEMO Australian Energy MCP Server
Pydantic AI provides unique advantages when paired with AEMO Australian Energy through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AEMO Australian Energy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AEMO Australian Energy connection logic from agent behavior for testable, maintainable code
AEMO Australian Energy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AEMO Australian Energy MCP Server delivers measurable value.
Type-safe data pipelines: query AEMO Australian Energy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AEMO Australian Energy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AEMO Australian Energy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AEMO Australian Energy responses and write comprehensive agent tests
AEMO Australian Energy MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect AEMO Australian Energy to Pydantic AI via MCP:
get_facility_data
g. "ER01" for Eraring, "BNGSF1" for Bungala Solar). Shows actual output over time. Get generation data for a specific energy facility
get_market_data
Supports interval and date range filtering. Get market data including spot prices and demand by region
get_market_updates
Get market updates and social posts from OpenElectricity
get_network_by_fueltech
Useful for understanding the energy mix and renewable vs fossil fuel split. Get network data grouped by fuel technology type
get_network_by_region
Get network data grouped by Australian region/state
get_network_data
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_plans
Get available API plans and pricing tiers
get_pollution_data
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)
get_renewable_proportion
Essential for tracking Australia's energy transition progress. Get renewable energy proportion data
get_user_profile
Get current user profile and API account details
list_facilities
Filter by fuel technology, status, network, or facility code. List energy facilities and generation units
list_metrics
List all available metrics in the OpenElectricity API
Example Prompts for AEMO Australian Energy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AEMO Australian Energy immediately.
"What is the current electricity spot price across all Australian states?"
"Show me the energy mix breakdown for the NEM right now — what percentage comes from solar, wind, coal, and gas?"
"What is the renewable energy percentage in Australia today compared to this time last year?"
Troubleshooting AEMO Australian Energy MCP Server with Pydantic AI
Common issues when connecting AEMO Australian Energy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAEMO Australian Energy + Pydantic AI FAQ
Common questions about integrating AEMO Australian Energy MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect AEMO Australian Energy with your favorite client
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Connect AEMO Australian Energy to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.