How to Use the Awattar MCP in CrewAI

Deploy autonomous energy crews with CrewAI. Let your agents monitor markets and optimize home loads without human intervention.

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Connect Awattar MCP to CrewAI

Create your Vinkius account to connect Awattar 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 Awattar with CrewAI

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Autonomous monitoring with CrewAI

Assign a dedicated agent to poll `get_market_data` at regular intervals. Your crew can then analyze these trends to determine the best time to run heavy appliances. This creates a hands-off approach to energy management. The monitor agent gathers the facts, while the executor agent handles the actual switching.

YAML-based orchestration in CrewAI

Have your agents generate and apply configuration updates using `get_current_yaml`. This allows the crew to modify your home automation setup based on current market realities. It removes the need for you to update settings manually. The agents handle the translation of market prices into actionable configuration code.

Multi-agent coordination for energy

Use CrewAI to distribute tasks among specialized agents. One agent fetches the price data, another reviews it against your safety constraints, and a third performs the final action. This hierarchical structure ensures that no single decision is made without validation. It keeps your energy usage efficient while maintaining system safety.

Setup guide

Set up Awattar 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 Awattar tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Awattar 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="Awattar Analyst",
        goal="Access and analyze Awattar data via MCP.",
        backstory="Expert analyst with direct Awattar access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Awattar 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 aWATTar. 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 Awattar MCP in CrewAI

Pass the server URL to your CrewAI agent configuration. The agents will automatically discover `get_market_data` and be ready to use it in their tasks.

Yes, you can define a crew where agents collaborate to minimize costs. They use the tool output to make informed decisions about when to activate high-load devices.

Yes, you can schedule an agent to run continuously. It will call the MCP tools as needed to keep your energy strategy aligned with the current market.

All connections are ephemeral and authenticated via a single endpoint token. Your agents operate within a secure sandbox provided by the MCP standard.

The server only handles public electricity pricing and technical YAML strings. It does not touch your private household electricity usage logs or billing history.

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