How to Use the ProUni Eligibility Calculator MCP in AutoGen

Run consensus-driven decision making with the ProUni Eligibility Calculator using AutoGen.

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Connect ProUni Eligibility Calculator MCP to AutoGen

Create your Vinkius account to connect ProUni Eligibility Calculator to AutoGen — 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 AutoGen

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AutoGen Multi-Agent Decision Making on MCP Server

Instead of one answer, you get a debate. You can set up an agent system where one 'Finance Agent' runs `calculate_per_capita_income`, and another 'Policy Agent' challenges that calculation against the current rules. The result is consensus-driven decision making, ensuring no single assumption (like static income brackets) goes unchallenged.

ProUni Eligibility Calculator for AutoGen

The system handles conflicting viewpoints. For instance, one agent determines the scholarship tier using `determine_eligibility_tier`, while a second 'Academic Agent' then challenges that result by cross-referencing it with `identify_eligible_courses` and public school status. This simulates real-world advisory discussions.

Deliberative Planning using the MCP Server

The architecture forces deliberation. You pass initial inputs, and multiple agents work together to narrow down the options. They must agree on the final set of potential universities by running `query_university_locations` across different geographical criteria. This is useful when the best path isn't obvious.

Setup guide

Set up ProUni Eligibility Calculator MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ProUni Eligibility Calculator tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ProUni Eligibility Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ProUni Eligibility Calculator data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ProUni Eligibility Calculator_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ProUni Eligibility Calculator data")
    print(result.messages[-1].content)

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 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 AutoGen

You set up a group of agents. They debate the eligibility criteria, running tools like `calculate_per_capita_income` and `determine_eligibility_tier` until they achieve consensus on the final scholarship status.

Yes. You can have an 'Auditing Agent' challenge the results of `identify_eligible_courses` against known policy gaps, forcing a review of the entire decision tree.

It excels at it. You don't tell the agents the order; they decide which tool to call and when, based on the need for deliberation between competing perspectives.

You'll get a comprehensive report showing not just the final answer, but the full debate: which agent used which tool and why they reached their conclusion.

This MCP touches financial metrics: gross family income and household size. It also processes standardized test scores (ENEM scores).

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