How to Use the ProUni Eligibility Calculator MCP in Vercel AI SDK
Show off live data streams with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ProUni Eligibility Calculator MCP to Vercel AI SDK
Create your Vinkius account to connect ProUni Eligibility Calculator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Real-Time Income Analysis
When a user submits basic family data, the agent starts by calling `calculate_per_capita_income`. This tool immediately processes gross income against household size to give an instant, per-person metric. The result streams directly into your Next.js UI. The end user sees the calculated number appear in real time, eliminating that frustrating loading spinner delay.
Instant Eligibility Status
The process continues by running `determine_eligibility_tier`. This tool takes the per-capita income and instantly spits out a clear scholarship tier—Full or Partial. It's reliable data that needs no complex backend calls. You can show this status change in real time, making the entire eligibility check feel instantaneous to the user.
Course Mapping & Location Lookup
After establishing the tier, the agent runs `identify_eligible_courses` to filter courses based on both ENEM scores and public school status. You can even pair this with `query_university_locations`, which finds participating schools in a specific city. This allows your client-side code to assemble a complete picture: what they qualify for, where those spots are, all streamed live from the MCP.
Set up ProUni Eligibility Calculator MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 ProUni Eligibility Calculator tools. Pass them directly togenerateText()orstreamText()— 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.
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 ProUni Eligibility Calculator transactions",
});
console.log(text);
await mcpClient.close();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.
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Common questions about ProUni Eligibility Calculator MCP in Vercel AI SDK
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