How to Use the AEMO Australian Energy MCP in CrewAI

Deploy a specialized crew of autonomous agents to monitor AEMO Australian Energy data with this MCP Server.

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Connect AEMO Australian Energy MCP to CrewAI

Create your Vinkius account to connect AEMO Australian Energy to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AEMO Australian Energy with CrewAI

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Claude

Perplexity

Collaborative grid monitoring

Assign an analyst agent to track market trends using `get_market_data`. It shares findings with a moderator agent in your CrewAI setup. Use `list_metrics` to give your research agent a clear list of what can be queried. It ensures your crew stays focused on relevant data.

Autonomous facility reporting

Dispatch a monitor agent to watch specific facilities using `list_facilities` and `get_facility_data`. It alerts the crew to any generation drops. Filter results by technology type with `get_network_by_fueltech`. This allows specialized agents to focus on specific segments of the energy market.

Environmental impact auditing

Task your agents with auditing emissions using `get_pollution_data`. They pull NPI records to report on facility-level environmental performance. Track the transition progress using `get_renewable_proportion`. Your crew keeps a running log of how the energy mix changes over time.

Setup guide

Set up AEMO Australian Energy MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AEMO Australian Energy tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AEMO Australian Energy Analyst",
    goal="Access and analyze AEMO Australian Energy data via MCP.",
    backstory="Expert analyst with direct AEMO Australian Energy access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AEMO Australian Energy transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AEMO Australian Energy Analyst",
        goal="Access and analyze AEMO Australian Energy data via MCP.",
        backstory="Expert analyst with direct AEMO Australian Energy access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AEMO Australian Energy transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OpenElectricity (OpenNEM). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AEMO Australian Energy MCP in CrewAI

Simply pass the Vinkius server URL to the agent's MCP list. Your agents will automatically detect and use the available tools.

Yes, agents use shared memory to pass insights. One agent can fetch the data and another can write the summary report.

You can apply a tool filter in your MCP configuration. This restricts the agent to only the specific functions you authorize.

No, you only provide a single endpoint token. The server handles all authentication internally, keeping your credentials hidden from the agents.

We enforce strict zero-trust boundaries around your requests. Your account details and query history are never logged or exposed to other users.

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