How to Use the US WARN Act Compliance Calculator MCP in Mastra AI

Automate complex layoff risk workflows with the US WARN Act Compliance Calculator MCP and Mastra AI.

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Connect US WARN Act Compliance Calculator MCP to Mastra AI

Create your Vinkius account to connect US WARN Act Compliance Calculator to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup US WARN Act Compliance Calculator with Mastra AI

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Mastra AI workflows for compliance status

The `check_warn_compliance` tool evaluates whether a specific layoff event crosses federal thresholds. You plug this MCP directly into a multi-step workflow. If the tool returns a violation risk, Mastra AI can automatically branch the logic. It will pause the termination sequence and alert the legal team for manual review.

Calculate exact back pay obligations

Running the `calculate_employee_backpay_liability` tool gives your agent the total cost of paying employees in lieu of a 60-day notice. This requires heavy financial parsing. Network timeouts happen when crunching large payroll datasets. Your workflow engine uses exponential backoff to retry the calculation until it succeeds.

Map civil penalty exposure

The `calculate_civil_penalty_exposure` tool quantifies the exact dollar amount of daily fines for your risk assessment. Failing to notify local governments triggers massive financial penalties. You can configure this MCP to require human approval before finalizing the exposure report. A manager clicks approve and the workflow continues to the next phase.

Setup guide

Set up US WARN Act Compliance Calculator MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All US WARN Act Compliance Calculator tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "us-warn-act-compliance-calculator-mcp-client",
  servers: {
    "us-warn-act-compliance-calculator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "US WARN Act Compliance Calculator Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to US WARN Act Compliance Calculator tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent US WARN Act Compliance Calculator transactions"
);
console.log(result.text);

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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 US WARN Act 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 US WARN Act Compliance Calculator MCP in Mastra AI

Initialize an MCPClient with your target URL and call the listTools method. Spread the results directly into your agent configuration.

You can route workflows dynamically based on the output. If a violation is detected, the agent redirects the process to a legal review step.

It supports the requireToolApproval flag natively. You can force a human to review the penalty estimates before the agent sends the final report to executives.

The framework auto-detects between Streamable HTTP and SSE. You just provide the endpoint and the system handles the connection details.

The system only ingests aggregate payroll totals and layoff dates. Vinkius isolates all compute environments to prevent cross-tenant data leakage during workflow execution.

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