How to Use the ANEEL Dados Abertos MCP in Google ADK

Q: How do I restrict ANEEL Dados Abertos tools in Google ADK?

Use the toolnames filter during initialization. This ensures your agent only has access to the specific search or retrieval functions you define.

Bring Brazilian power sector metrics into your Google ADK infrastructure.

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Connect ANEEL Dados Abertos MCP to Google ADK

Create your Vinkius account to connect ANEEL Dados Abertos to Google ADK 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 ANEEL Dados Abertos with Google ADK

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Native ANEEL Dados Abertos integration for Google ADK

Connect your agent using `McpToolset` to bridge the portal with your cloud environment. It maps the server tools directly into your agent's tool registry. Your Google ADK agent now treats the energy portal as a local data source. It operates on the datasets as if they were already inside your BigQuery tables.

Granular resource and format discovery

Execute `get_resource` to retrieve download links for specific files like CSVs or PDFs. The tool gives you the exact location for the data you want to ingest. This workflow fits right into your Google ADK pipelines. Your agent grabs the file URL and hands it off to your downstream processing scripts.

High-precision energy data searching

The `search_datastore` tool lets your agent query specific records across the ANEEL infrastructure. You define the query, and the server returns the matches. Google ADK models handle these results within their large context windows. You can analyze years of electricity sector history without losing track of the details.

Setup guide

Set up ANEEL Dados Abertos MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ANEEL Dados Abertos tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ANEEL Dados Abertos_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ANEEL Dados Abertos tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ANEEL Dados Abertos MCP in Google ADK

Use the tool_names filter during initialization. This ensures your agent only has access to the specific search or retrieval functions you define.

You can. Your agent fetches the metadata via the server and uses that context to write SQL queries against your existing BigQuery datasets.

It does. You configure the server parameters for a standard HTTP streamable connection within your toolset definition.

The server responds with direct data packets. Your agent manages these synchronously or asynchronously depending on your agent logic.

Your connection uses an ephemeral Vinkius endpoint. We isolate your requests so that only the requested public energy statistics pass through the tunnel.

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