How to Use the Moka HR MCP in Mastra AI

Build reliable recruiting workflows in Mastra AI. Use this MCP Server to automate candidate handoffs and interview scheduling.

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Connect Moka HR MCP to Mastra AI

Create your Vinkius account to connect Moka HR 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 Moka HR with Mastra AI

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Automated interview scheduling

Chain `list_interviews` and `get_interview` into your Mastra agents to track your hiring pipeline. If a candidate misses a slot, your agent can trigger a retry or flag the record for review. It keeps your workflow moving without manual oversight. You define the logic, and the agent executes the steps against your ATS data.

Conditional recruitment logic

Use this MCP Server to feed data into branching workflows. If `get_application` returns a specific status, your agent can route the candidate to the next hiring stage automatically. This handles the busy work of moving files between stages. It ensures your process stays consistent regardless of the volume.

Resilient ATS integration

Mastra handles the retries if a network call to your ATS fails. You get a stable connection to your data even during peak hiring hours. It keeps your agents running smoothly. You just map the tool outputs to your workflow steps and let the engine handle the rest.

Setup guide

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

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

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

Add the server URL to your Mastra configuration. The framework will automatically detect and register the tools for your agents.

You can include any of the 10 tools in your agent steps. Simply call them by name and pass the required arguments.

Yes, use the requireToolApproval setting in your client. This lets you review actions before the agent completes them.

The server returns standard error codes. You can catch these in your workflow and implement custom retry logic or alerts.

Your candidate profiles and application history are protected by your endpoint token. The connection is isolated, and data doesn't persist beyond the session.

Use it with your favorite AI tools

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