How to Use the ProUni Eligibility Calculator MCP in OpenAI Agents SDK

Q: Does the MCP Server handle location data for ProUni Eligibility Calculator with OpenAI Agents SDK?

Yes. The queryuniversitylocations tool lets you search participating universities by city, ensuring that any recommended school is geographically relevant to the user.

Get instant ProUni eligibility status for your AI client using OpenAI Agents SDK.

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Connect ProUni Eligibility Calculator MCP to OpenAI Agents SDK

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

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Setup ProUni Eligibility Calculator with OpenAI Agents SDK

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Calculate Scholarship Status with the MCP Server

The `calculate_per_capita_income` tool determines a family's income per person, taking gross family earnings and household size as input. This initial calculation then feeds directly into the `determine_eligibility_tier` tool, which instantly assigns Full or Partial scholarship status based on established income brackets. This core logic lets your agent process raw financial data and output a clear eligibility tier before moving onto the next steps of application.

Identify Available Courses using OpenAI Agents SDK

Knowing the tier isn't enough; you need to know what courses are actually available. The `identify_eligible_courses` tool takes into account ENEM scores and whether the student attended a public school, adjusting the potential score bonus accordingly. It then cross-references this data against the determined scholarship status. This means your agent doesn't just say 'eligible'; it tells the user exactly which majors they can pursue under their specific criteria.

Find Participating Universities on the MCP Server

Once eligibility is clear, finding a school matters. Use `query_university_locations` to pinpoint universities participating in ProUni by city name. This tool acts like a geo-lookup, narrowing down thousands of options to those relevant for the user's location. This saves time and effort; your agent connects the dots between financial need, academic scores, and physical institution availability.

Setup guide

Set up ProUni Eligibility Calculator MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ProUni Eligibility Calculator tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ProUni Eligibility Calculator tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ProUni Eligibility Calculator tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ProUni Eligibility Calculator Agent",
            instructions="You have access to ProUni Eligibility Calculator tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 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 OpenAI Agents SDK

The calculator first determines per capita income to set a scholarship tier. It then uses that tier along with ENEM scores and public school status to identify available courses, giving you immediate clarity on eligibility.

This MCP touches financial data (gross family income), demographic data (household size), and academic scores (ENEM scores). It's designed for multi-factor input validation.

Absolutely. Your agent can chain multiple tools, allowing you to calculate income, determine eligibility, and then query local universities all in one continuous workflow.

Yes. The `query_university_locations` tool lets you search participating universities by city, ensuring that any recommended school is geographically relevant to the user.

Since the tools are designed for specific inputs and outputs, you'll need to adjust your agent logic if the underlying data structure changes. The system relies on validated data types.

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