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How to Use the ProUni Eligibility Calculator MCP in Mastra AI

Build complex, resilient workflows with Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Mastra AI

Connect ProUni Eligibility Calculator MCP to Mastra AI

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

GDPR Included with Plan

Key Capabilities

Guaranteed Income Calculation

If the initial data is messy or incomplete, the agent can't fail. The workflow starts by calling `calculate_per_capita_income`. If this fails, Mastra AI handles automatic retries with exponential backoff until valid income metrics are generated. This guarantees that even bad input leads to a calculated result, making your multi-step process reliable.

Conditional Tier Determination

The system uses `determine_eligibility_tier` to set the scholarship status. This is critical for workflows because if the income threshold changes, the agent doesn't just fail; it triggers a defined failure handler and notifies an admin. This built-in resilience means your eligibility determination always progresses toward a known state.

Automated Course Filtering

After setting the tier, the agent uses `identify_eligible_courses` to map available options. Because it's inside an automated workflow engine, if course data is unavailable for one region, it automatically pivots to check alternatives in another. This handles complex business logic across different geographies without needing manual error checks.

Setup guide

Set up ProUni Eligibility 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All ProUni Eligibility Calculator tools become native Mastra tools.

  4. 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: "prouni-eligibility-calculator-mcp-client",
  servers: {
    "prouni-eligibility-calculator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent ProUni Eligibility Calculator transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ProUni Eligibility 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.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ProUni Eligibility Calculator MCP in Mastra AI

Mastra AI treats the calculator as a resilient service. It manages the entire sequence, ensuring that if one tool call fails (like querying locations), it automatically retries or executes alternate steps.
Yes. You can build multi-step workflows where payment failures, data source timeouts, or unexpected inputs are handled gracefully through built-in retries and conditional branching.
It does. You can configure the workflow to require `requireToolApproval` at critical points, ensuring a human reviews the calculated eligibility tier before it's finalized and acted upon.
The server processes structured financial inputs, including income brackets, household sizes, ENEM scores, and geographical university names. This is managed by the MCP layer.
It's ideal. The combination of structured financial data (income/size) and the workflow engine’s guaranteed retries makes it perfect for mission-critical, multi-step analyses.

Start using the ProUni Eligibility Calculator MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for ProUni Eligibility Calculator. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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