How to Use the intelliHR MCP in Mastra AI

Q: Can I build multi-step HR approval chains with Mastra AI and intelliHR?

Yes, you can configure Mastra AI to pause after running listremuneration and wait for human approval. Once an admin approves the salary update, the workflow proceeds to the next operational step.

Build resilient, automated HR workflows using Mastra AI to sync and update your intelliHR directory.

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Connect intelliHR MCP to Mastra AI

Create your Vinkius account to connect intelliHR to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup intelliHR with Mastra AI

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Run automated employee onboarding checks

The `list_people` tool acts as the starting point for your Mastra AI agent when checking for new hires. The framework monitors active employee lists and triggers multi-step onboarding workflows the moment a new profile appears. If a profile lacks training records, the agent calls `list_training` to verify compliance. This automated check runs on a schedule, ensuring every new hire completes their required safety modules without HR intervention.

Reconcile pay updates with Mastra AI

The `list_remuneration` tool lets your Mastra AI workflows audit salary updates across different corporate divisions. The agent compares current pay records against internal budgets, running retry logic if the API encounters temporary rate limits. It maps these salary details against legal structures using `list_business_entities`. If a mismatch occurs, the workflow suspends execution and alerts your finance team via Slack before making changes.

Verify office location and role changes

The `list_locations` tool provides physical office details to your Mastra AI agents when employees change regions. The agent runs conditional checks to see if an employee's new physical desk matches their assigned department. It cross-references this with `list_jobs` to ensure the position exists at that specific site. This prevents data errors in your HR directory by validating office assignments automatically with this MCP Server.

Setup guide

Set up intelliHR 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 intelliHR 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: "intellihr-mcp-client",
  servers: {
    "intellihr-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent intelliHR 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 intelliHR. 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 intelliHR MCP in Mastra AI

Mastra AI features a built-in workflow engine that automatically retries failed calls to `list_people`. If the intelliHR API throttles your requests, the agent backs off exponentially and resumes when safe.

Yes, you can configure Mastra AI to pause after running `list_remuneration` and wait for human approval. Once an admin approves the salary update, the workflow proceeds to the next operational step.

You instantiate the MCP Server client and spread the tools from `listTools` into your Mastra agent configuration. The agent instantly gains access to `get_person` and other administrative endpoints.

Yes, you write standard TypeScript logic to branch your workflows based on the output of tools like `list_positions`. For example, if a position is vacant, the agent triggers a hiring sequence.

This MCP Server runs in an ephemeral, zero-trust environment where your skills directory from `list_skills` is never cached. Your credentials remain encrypted at rest, and all API interactions occur over isolated HTTPS connections.

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