How to Use the ENEM Score Calculator MCP in Mastra AI

Build automated student advising agents using Mastra AI and the ENEM Score Calculator.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ENEM Score Calculator MCP to Mastra AI

Create your Vinkius account to connect ENEM Score Calculator to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ENEM Score Calculator with Mastra AI

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Automate grade calculations in Mastra AI workflows

The `calculate_area_averages` tool computes the mean of the four objective exam areas inside your agent workflows. Mastra handles the execution step, passing the results to the next node in your pipeline without manual intervention. If the calculation fails due to network issues, the built-in retry engine automatically backs off and tries again. You get reliable math processing built directly into your automated advising funnels.

Branching logic for weighted scores

The `calculate_weighted_score` tool processes custom weights based on the student's target major. Your Mastra workflows can branch conditionally based on this output, routing high-scoring students to premium counseling tracks. This setup removes human bottlenecking from the evaluation process. The workflow engine evaluates the weighted results and triggers immediate follow-up actions based on the score.

Predict admissions with human-in-the-loop approval

The `simulate_admission_possibility` tool compares student performance against historical cutoffs to estimate admission chances. You can configure Mastra to require human approval before sending these predictions to the student. This guarantees accuracy when dealing with sensitive academic advice. The agent prepares the simulation, pauses for a counselor's green light, and then dispatches the final report.

Setup guide

Set up ENEM Score Calculator 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 ENEM Score Calculator 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: "enem-score-calculator-mcp-client",
  servers: {
    "enem-score-calculator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent ENEM Score Calculator 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 ENEM Score Calculator. 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 ENEM Score Calculator MCP in Mastra AI

Initialize the MCP client with the Vinkius URL and spread the tools into your agent configuration. The framework automatically registers them for use in your workflows.

Yes, you can route execution paths based on the outputs of this MCP. For example, trigger different emails depending on whether the simulated admission probability is high or low.

Yes, the framework's workflow engine automatically retries failed calls to the MCP. This handles temporary network hiccups without breaking your execution pipelines.

Set the tool approval flag to true in your agent configuration. The workflow will pause and wait for manual confirmation before calculating scores or simulating admissions.

All student grades and exam scores are transmitted over TLS directly to the execution environment. Vinkius does not log or persist any of the raw grade metrics.

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