How to Use the HrFlow.ai MCP in Mastra AI

Q: Can Mastra AI use HrFlow.ai to list jobs automatically?

Absolutely. By adding listjobs to your agent, it can poll your boards on a schedule and trigger alerts or updates whenever new roles are posted.

Q: How does HrFlow.ai handle candidate personal data in Mastra AI workflows?

The server enforces strict access controls on every parseprofile operation. Your data remains isolated within your account and is never shared across other agent sessions.

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Connect HrFlow.ai MCP to Mastra AI

Create your Vinkius account to connect HrFlow.ai 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 HrFlow.ai with Mastra AI

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Perplexity

Automated talent pipeline branching in Mastra AI

Create complex logic flows where `score_profiles` triggers different actions based on candidate rank. If a score hits your threshold, the workflow automatically moves to the next interview stage. This keeps your hiring process moving without manual intervention. You define the rules, and the agent executes them across your boards.

Reliable job search automation for Mastra AI

Use `search_jobs` as a primary node in your Mastra agent graph. It pulls current openings based on your specific criteria, ensuring your team always has the latest data to work with. You can set up automatic retries for these calls to ensure your agent never stalls. It's built for production-grade recruiting operations that need to handle failures.

Human-in-the-loop profile reviews

Inject a human approval step between `parse_profile` and database entry. Mastra AI pauses the workflow and waits for your thumbs up before committing candidate info. This ensures your recruiters maintain control over the data entering your system. You get the speed of automation with the precision of human oversight.

Setup guide

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

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

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

Import the server URL into your Mastra configuration. The framework automatically detects the tools, allowing you to spread them directly into your agent definitions.

Absolutely. By adding `list_jobs` to your agent, it can poll your boards on a schedule and trigger alerts or updates whenever new roles are posted.

Yes, you can wrap your tool calls in Mastra's built-in retry mechanisms. If an API call fails, the agent will attempt the operation again based on your configured backoff strategy.

You can enable tool approval for any HrFlow.ai function. This forces the agent to ask for permission before executing sensitive actions like profile updates.

The server enforces strict access controls on every `parse_profile` operation. Your data remains isolated within your account and is never shared across other agent sessions.

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