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

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LangChain is the leading Python framework for composable LLM applications. Connect ANEEL Dados Abertos through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The ANEEL Dados Abertos MCP Server for LangChain 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "aneel-dados-abertos": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using ANEEL Dados Abertos, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
ANEEL Dados Abertos
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

LangChain's ecosystem of 500+ components combines seamlessly with ANEEL Dados Abertos through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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

Search datastore on ANEEL Dados Abertos

Search for records within an ANEEL resource

Connect ANEEL Dados Abertos to LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 4 tools from ANEEL Dados Abertos via MCP

Why Use LangChain with the ANEEL Dados Abertos MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine ANEEL Dados Abertos MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across ANEEL Dados Abertos queries for multi-turn workflows

ANEEL Dados Abertos + LangChain Use Cases

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

01

RAG with live data: combine ANEEL Dados Abertos tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query ANEEL Dados Abertos, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain ANEEL Dados Abertos tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every ANEEL Dados Abertos tool call, measure latency, and optimize your agent's performance

Example Prompts for ANEEL Dados Abertos in LangChain

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

01

"List all available datasets in the ANEEL portal."

02

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

03

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

Troubleshooting ANEEL Dados Abertos MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ANEEL Dados Abertos + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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