How to Use the Scholarship Eligibility Checker MCP in Mastra AI

Build resilient financial aid workflows with Mastra AI and the Scholarship Eligibility Checker MCP.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Scholarship Eligibility Checker MCP to Mastra AI

Create your Vinkius account to connect Scholarship Eligibility Checker 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

Setup Scholarship Eligibility Checker with Mastra AI

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Automated Application Routing

The Scholarship Eligibility Checker MCP evaluates complex student financial profiles. Mastra AI wraps these calculations in reliable workflows. If a calculation times out due to network issues, the framework automatically retries with exponential backoff. You trigger `determine_fies_eligibility` inside a branching path. The system routes approved applicants to the next step and flags rejections for manual review.

Mandatory Human Oversight

Approving government aid requires oversight. You can configure Mastra AI to pause the execution before finalizing the result. Set the approval flag on your MCP configuration. A human administrator verifies the `calculate_household_income` output before the workflow sends the final confirmation email.

One-Command Cloud Deployments

You deploy the entire financial aid pipeline to your preferred cloud provider with one command. The framework auto-detects the correct transport protocol for the MCP Server. Call the tool listing method on your client instance. Spread the results into your agent setup and let the engine handle the rest.

Setup guide

Set up Scholarship Eligibility Checker 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 Scholarship Eligibility Checker 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: "scholarship-eligibility-checker-mcp-client",
  servers: {
    "scholarship-eligibility-checker-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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