How to Use the ANEEL Dados Abertos MCP in LlamaIndex

Q: How do I connect LlamaIndex to the ANEEL Dados Abertos portal?

Install the MCP adapters and initialize the BasicMCPClient with the Vinkius endpoint. Then convert the tools into a format LlamaIndex understands.

Q: Can LlamaIndex index CSV files from ANEEL Dados Abertos?

You can use getresource to retrieve the download URL for any CSV file. Then use LlamaIndex loaders to ingest and index that file into your knowledge base.

Q: Does ANEEL Dados Abertos provide enough metadata for LlamaIndex indexing?

The getpackage tool provides detailed metadata for every dataset. This is perfect for generating descriptive embeddings for your index.

Index Brazilian energy metadata into your LlamaIndex knowledge base for semantic search.

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Connect ANEEL Dados Abertos MCP to LlamaIndex

Create your Vinkius account to connect ANEEL Dados Abertos to LlamaIndex 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 LlamaIndex

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Ground your LlamaIndex RAG in live data

Use `get_package` to fetch metadata and immediately index it into your vector store. It stops your agent from guessing about power sector statistics. Your index stays relevant because the tools provide a direct line to the ANEEL portal. You aren't working with stale dumps of information.

Query ANEEL Dados Abertos with LlamaIndex

Convert tool outputs into searchable nodes using the `to_tool_list_async` function. This lets your agent perform semantic lookups on electrical records. Search the datastore through your index to find specific energy generation metrics. It turns raw API results into a queryable knowledge graph.

Automate resource discovery

Run `list_packages` to discover new datasets and update your vector index automatically. It keeps your agent aware of the latest information from the agency. Use the `include_resources` flag to pull full file data into your index. This allows your agent to answer questions based on the actual content of the files.

Setup guide

Set up ANEEL Dados Abertos MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ANEEL Dados Abertos MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ANEEL Dados Abertos tools.",
)
response = await agent.run("List recent ANEEL Dados Abertos data")

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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 LlamaIndex

Install the MCP adapters and initialize the `BasicMCPClient` with the Vinkius endpoint. Then convert the tools into a format LlamaIndex understands.

You can use `get_resource` to retrieve the download URL for any CSV file. Then use LlamaIndex loaders to ingest and index that file into your knowledge base.

The `get_package` tool provides detailed metadata for every dataset. This is perfect for generating descriptive embeddings for your index.

Tool calls are fast, but indexing large files takes time. We recommend caching your vector store results to keep the user experience snappy.

The server only touches public electricity sector records. Your API keys and local indexes are stored only on your machine, away from any external prying eyes.

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