How to Use the ProUni Eligibility Calculator MCP in Google ADK

Build enterprise ProUni eligibility solutions with Google ADK for complex reasoning.

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Connect ProUni Eligibility Calculator MCP to Google ADK

Create your Vinkius account to connect ProUni Eligibility Calculator to Google ADK — 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 Google ADK

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Core Eligibility Logic on the MCP Server

Google ADK agents can use `calculate_per_capita_income` to process family finances, turning raw income and household size into a usable per capita figure. This result immediately feeds the `determine_eligibility_tier` tool, which calculates whether the student qualifies for Full or Partial scholarship status. This foundational step allows your enterprise agent to map complex financial inputs directly to clear, actionable educational tiers.

Identify Available Courses using Google ADK

The system uses `identify_eligible_courses` to restrict course options based on the calculated scholarship tier and ENEM scores. It also gives a bonus score if the student attended public school, making sure the recommendations are accurate. By integrating this tool, your agent handles both academic performance assessment and financial qualification simultaneously.

Full Process Flow Management via Google ADK

You can combine all steps into one flow. After determining eligibility, you use `query_university_locations` to find participating campuses by city. This tool ensures that the entire process is contained and traceable within your Google Cloud environment. This robust capability lets developers build agents that span financial calculation, course restriction, and geographic lookup without hitting dead ends.

Setup guide

Set up ProUni Eligibility Calculator MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ProUni Eligibility Calculator tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ProUni Eligibility Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ProUni Eligibility Calculator tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

You connect the MCP toolset to your LlmAgent. The agent then autonomously calls tools like income calculation and tier determination, providing a full eligibility report.

The system requires family financial details (income proof), student demographics (household size, public school status), and academic scores (ENEM scores).

Yes. Because it runs as an MCP, your agents can handle high throughput and process complex logic by chaining multiple tools reliably.

The system processes all inputs through defined functions. The outputs are structured so that subsequent steps (like course identification) only receive validated and predictable data types.

The server handles quantitative measurements, specifically gross family income and per capita income calculations. It is purely focused on numerical thresholds.

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