How to Use the ANEEL Dados Abertos MCP in Mastra AI

Q: How do I connect the ANEEL Dados Abertos server to Mastra AI?

Install the package @mastra/mcp and instantiate a new client pointing to your Vinkius MCP URL. Then, spread the tools directly into your agent's tool array.

Build resilient, self-healing workflows that query Brazilian grid data using Mastra AI.

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Connect ANEEL Dados Abertos MCP to Mastra AI

Create your Vinkius account to connect ANEEL Dados Abertos to Mastra AI 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 Mastra AI

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Automate energy data collection with Mastra AI

Your agent uses the `get_package` tool to fetch dataset metadata and automatically retry the call if the ANEEL portal lags. This ensures your Mastra AI pipeline never breaks on network hiccups. You define the workflow in TypeScript, and the system handles the rest. If a Brazilian power query fails, the framework retries with exponential backoff.

Add human approval to this MCP Server

You can pause your pipeline before calling `get_resource` by configuring human approval settings. This prevents your Mastra AI agent from downloading massive electricity spreadsheets without a green light. An administrator can review the requested dataset size before giving permission. Once approved, the agent resumes the pipeline and processes the CSV automatically.

Build conditional pipelines for power sector analysis

When the `search_datastore` tool returns active grid failures, your workflow can branch to notify your operations team immediately. This lets you build conditional pipelines for power sector analysis in Mastra AI. You initialize the connection using the MCP client and spread the tools directly into your agent configuration. The framework handles the transport layer automatically.

Setup guide

Set up ANEEL Dados Abertos MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ANEEL Dados Abertos tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "aneel-dados-abertos-mcp-client",
  servers: {
    "aneel-dados-abertos-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ANEEL Dados Abertos Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ANEEL Dados Abertos tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ANEEL Dados Abertos transactions"
);
console.log(result.text);

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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 Mastra AI

Install the package `@mastra/mcp` and instantiate a new client pointing to your Vinkius MCP URL. Then, spread the tools directly into your agent's tool array.

Yes, you can set up branches that trigger based on the energy records returned by `search_datastore`. For example, if a dataset update is detected, your agent can automatically trigger a downstream processing step.

The framework features built-in exponential backoff. If the Brazilian power portal throttles your requests, the agent pauses and retries the tool calls automatically.

The client automatically detects whether your endpoint uses Server-Sent Events (SSE) or Streamable HTTP. This makes connecting to the remote MCP Server completely configuration-free.

No. All retrieved energy records and resource download links remain strictly within your local execution environment. Vinkius operates as a zero-trust corridor, meaning your power grid queries are completely private.

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