How to Use the ANEEL Dados Abertos MCP in CrewAI
Run autonomous agent teams to monitor and analyze Brazilian power grid data with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ANEEL Dados Abertos MCP to CrewAI
Create your Vinkius account to connect ANEEL Dados Abertos 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.
Deploy a specialized crew for energy research
Your research agent runs `list_packages` to find new datasets, while another agent uses `get_package` to analyze their metadata. This lets you deploy a specialized CrewAI crew for energy research. These agents share memory and collaborate in sequence. The researcher finds the target electricity tables, and the analyst immediately dissects the grid metrics without human intervention.
Filter tools for specific agent roles
You can restrict access to the `search_datastore` tool across your team by setting up a custom filter. This ensures your CrewAI agents only search the electricity database when authorized. Give your analyst agent access to the query tools while keeping the rest of the crew focused on high-level catalog scanning. This keeps your autonomous power monitoring orderly and predictable.
Retrieve raw grid files autonomously with this MCP Server
By exposing the `get_resource` tool, your crew can locate CSV download links and pass them to local python scripts for processing. This lets your CrewAI agents retrieve raw grid files autonomously. Setting this up is simple. You just pass your Vinkius MCP endpoint URL directly into the agent's `mcps` parameter, and the framework configures the transport automatically.
Set up ANEEL Dados Abertos MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke ANEEL Dados Abertos tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="ANEEL Dados Abertos Analyst",
goal="Access and analyze ANEEL Dados Abertos data via MCP.",
backstory="Expert analyst with direct ANEEL Dados Abertos access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent ANEEL Dados Abertos transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="ANEEL Dados Abertos Analyst",
goal="Access and analyze ANEEL Dados Abertos data via MCP.",
backstory="Expert analyst with direct ANEEL Dados Abertos access.",
tools=mcp_tools,
)
task = Task(
description="List recent ANEEL Dados Abertos transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ANEEL Dados Abertos. 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 ANEEL Dados Abertos MCP in CrewAI
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