ANEEL Dados Abertos MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Get Package, Get Resource, List Packages, and more

Name: ANEEL Dados Abertos
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ANEEL Dados Abertos as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The ANEEL Dados Abertos MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ANEEL Dados Abertos. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ANEEL Dados Abertos?"
    )
    print(response)

asyncio.run(main())

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About ANEEL Dados Abertos MCP Server

Connect your AI agent to the ANEEL Open Data Portal (Agência Nacional de Energia Elétrica) and explore comprehensive information about the Brazilian electricity market through natural conversation.

LlamaIndex agents combine ANEEL Dados Abertos tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Dataset Discovery — List all available packages (datasets) in the portal to understand what information is public.
Metadata Inspection — Fetch detailed metadata for specific datasets, including tags, organizations, and available resources.
Resource Details — Get specific information about files (CSV, PDF, XLS), including download URLs and formats.
Deep Data Search — Query and filter records directly within CSV/XLS resources that are integrated into the ANEEL DataStore API.

The ANEEL Dados Abertos MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 ANEEL Dados Abertos tools available for LlamaIndex

When LlamaIndex connects to ANEEL Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning electricity, brazil, energy-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get package on ANEEL Dados Abertos

Get full metadata for a specific ANEEL dataset

get

Get resource on ANEEL Dados Abertos

g., CSV, PDF file) within a dataset, including its download URL and format. Get metadata for a specific ANEEL resource

list

List packages on ANEEL Dados Abertos

List all dataset names in the ANEEL portal

Search datastore on ANEEL Dados Abertos

Search for records within an ANEEL resource

Connect ANEEL Dados Abertos to LlamaIndex via MCP

Follow these steps to wire ANEEL Dados Abertos into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from ANEEL Dados Abertos

Why Use LlamaIndex with the ANEEL Dados Abertos MCP Server

LlamaIndex provides unique advantages when paired with ANEEL Dados Abertos through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ANEEL Dados Abertos tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ANEEL Dados Abertos tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ANEEL Dados Abertos, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ANEEL Dados Abertos tools were called, what data was returned, and how it influenced the final answer

ANEEL Dados Abertos + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ANEEL Dados Abertos MCP Server delivers measurable value.

Hybrid search: combine ANEEL Dados Abertos real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ANEEL Dados Abertos to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ANEEL Dados Abertos for fresh data

Analytical workflows: chain ANEEL Dados Abertos queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ANEEL Dados Abertos in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ANEEL Dados Abertos immediately.

"List all available datasets in the ANEEL portal."

"Show me the resources available for the 'tarifas-distribuidoras' package."

"Search for records related to 'ENEL' in the resource with ID 'd345-f678'."

Troubleshooting ANEEL Dados Abertos MCP Server with LlamaIndex

Common issues when connecting ANEEL Dados Abertos to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ANEEL Dados Abertos + LlamaIndex FAQ

Common questions about integrating ANEEL Dados Abertos MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ANEEL Dados Abertos tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.