AEMO Australian Energy MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AEMO Australian Energy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"aemo-australian-energy": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using AEMO Australian Energy, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with AEMO Australian Energy through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the AEMO Australian Energy MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from AEMO Australian Energy via MCP
Why Use LangChain with the AEMO Australian Energy MCP Server
LangChain provides unique advantages when paired with AEMO Australian Energy through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AEMO Australian Energy MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across AEMO Australian Energy queries for multi-turn workflows
AEMO Australian Energy + LangChain Use Cases
Practical scenarios where LangChain combined with the AEMO Australian Energy MCP Server delivers measurable value.
RAG with live data: combine AEMO Australian Energy tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AEMO Australian Energy, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AEMO Australian Energy tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AEMO Australian Energy tool call, measure latency, and optimize your agent's performance
AEMO Australian Energy MCP Tools for LangChain (12)
These 12 tools become available when you connect AEMO Australian Energy to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting AEMO Australian Energy to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAEMO Australian Energy + LangChain FAQ
Common questions about integrating AEMO Australian Energy MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect AEMO Australian Energy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AEMO Australian Energy to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
