AEMO Australian Energy MCP Server for CrewAI 12 tools — connect in under 2 minutes
Connect your CrewAI agents to AEMO Australian Energy through Vinkius, pass the Edge URL in the `mcps` parameter and every AEMO Australian Energy tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="AEMO Australian Energy Specialist",
goal="Help users interact with AEMO Australian Energy effectively",
backstory=(
"You are an expert at leveraging AEMO Australian Energy tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in AEMO Australian Energy "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 12 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, AEMO Australian Energy becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AEMO Australian Energy tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the AEMO Australian Energy MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 12 tools from AEMO Australian Energy
Why Use CrewAI with the AEMO Australian Energy MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AEMO Australian Energy through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
AEMO Australian Energy + CrewAI Use Cases
Practical scenarios where CrewAI combined with the AEMO Australian Energy MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries AEMO Australian Energy for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries AEMO Australian Energy, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain AEMO Australian Energy tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries AEMO Australian Energy against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
AEMO Australian Energy MCP Tools for CrewAI (12)
These 12 tools become available when you connect AEMO Australian Energy to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting AEMO Australian Energy to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
AEMO Australian Energy + CrewAI FAQ
Common questions about integrating AEMO Australian Energy MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect AEMO Australian Energy with your favorite client
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Connect AEMO Australian Energy to CrewAI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.