How to Use the ProUni Eligibility Calculator MCP in Mastra AI
Build complex, resilient workflows with Mastra AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ProUni Eligibility Calculator MCP to Mastra AI
Create your Vinkius account to connect ProUni Eligibility Calculator to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Guaranteed Income Calculation
If the initial data is messy or incomplete, the agent can't fail. The workflow starts by calling `calculate_per_capita_income`. If this fails, Mastra AI handles automatic retries with exponential backoff until valid income metrics are generated. This guarantees that even bad input leads to a calculated result, making your multi-step process reliable.
Conditional Tier Determination
The system uses `determine_eligibility_tier` to set the scholarship status. This is critical for workflows because if the income threshold changes, the agent doesn't just fail; it triggers a defined failure handler and notifies an admin. This built-in resilience means your eligibility determination always progresses toward a known state.
Automated Course Filtering
After setting the tier, the agent uses `identify_eligible_courses` to map available options. Because it's inside an automated workflow engine, if course data is unavailable for one region, it automatically pivots to check alternatives in another. This handles complex business logic across different geographies without needing manual error checks.
Set up ProUni Eligibility Calculator MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All ProUni Eligibility Calculator tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "prouni-eligibility-calculator-mcp-client",
servers: {
"prouni-eligibility-calculator-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "ProUni Eligibility Calculator Agent",
model: openai("gpt-4o"),
instructions: "You have access to ProUni Eligibility Calculator tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent ProUni Eligibility Calculator transactions"
);
console.log(result.text); 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 Mastra AI
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