How to Use the Scholarship Eligibility Checker MCP in Vercel AI SDK

Stream household income calculations straight into your React frontends using the Scholarship Eligibility Checker and Vercel AI SDK.

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MCP Servers — Included with Plan

Connect Scholarship Eligibility Checker MCP to Vercel AI SDK

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

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Setup Scholarship Eligibility Checker with Vercel AI SDK

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Real-Time Income Math

The Scholarship Eligibility Checker calculates household per capita income instantly. Your Vercel AI SDK setup pipes this data directly into your Next.js frontend as it generates. Users see their financial bracket appear on screen without staring at a loading spinner. You call `calculate_per_capita_income` from your edge function. The raw numbers process on the MCP and stream back to the UI component in real time.

Strict Government Formulas

Evaluating government financial aid requirements requires strict math. This MCP handles the exact formulas for ProUni and FIES qualification. Connect the client and run `check_prouni_eligibility` against the user inputs. The AI client returns a definitive yes or no based on the current minimum wage brackets.

Direct Frontend Connection for this MCP Server

Building financial calculators from scratch wastes development hours. You plug this MCP Server into your existing Svelte or Vue application without writing custom backend logic. Pass your tools array into the text generation call. The agent reads the household size and total earnings to output a final eligibility status.

Setup guide

Set up Scholarship Eligibility Checker MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Scholarship Eligibility Checker tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Scholarship Eligibility Checker transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Scholarship Eligibility Checker. 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 Scholarship Eligibility Checker MCP in Vercel AI SDK

Use the built-in client creator with an HTTP transport. Pass the resulting tools into your text generation call.

Yes. The SDK streams the eligibility status directly to your React components as the agent processes the math.

You can configure an authentication provider when setting up the client. This keeps user financial data secure during the session.

Your application catches the error standard to the SDK. You handle the fallback UI directly in your frontend code.

This MCP processes highly sensitive household income figures. Your Vercel AI SDK implementation only holds the data in memory during the calculation before dropping it.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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