How to Use the Flatwork ATS MCP in Mastra AI

Q: How do I register the Flatwork ATS MCP Server in Mastra AI?

Instantiate MCPClient with your Vinkius URL, then spread the tools from listTools() into your agent configuration. Your Mastra AI agent can then run listapplicants to fetch candidate profiles.

Q: Can Mastra AI handle human-in-the-loop approvals for Flatwork ATS status updates?

Yes, you can set requireToolApproval on the updateapplicationstatus tool. This pauses the Mastra AI workflow and waits for a recruiter to approve the hiring stage change before executing.

Q: Can I monitor active webhooks with this setup?

Yes. Your agent can call listwebhooks to check which endpoints are listening to applicant events, allowing Mastra to trigger workflows when new candidates apply.

Build automated hiring workflows with Flatwork ATS and Mastra AI agents using this MCP Server.

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Connect Flatwork ATS MCP to Mastra AI

Create your Vinkius account to connect Flatwork ATS 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 Flatwork ATS with Mastra AI

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Branching hiring workflows with Mastra AI

Mastra AI lets you build complex logic around Flatwork ATS tools. For example, your agent can call `list_applications` to find new candidates, then branch based on their experience level. If a candidate fits, the workflow triggers `update_application_status` to move them forward. If the API rate limit hits, Mastra handles the exponential backoff automatically, ensuring the status update goes through.

Fail-safe applicant creation using this MCP Server

Creating candidates in Flatwork ATS can fail when external APIs hiccup. By registering this MCP Server with Mastra AI, the `create_applicant` tool runs within a structured workflow that retries failed requests. After a successful write, the agent calls `get_applicant` to verify the record. If any network error occurs during this step, Mastra catches it and resumes the run without losing the applicant data.

Automated job audit loops

Set up a Mastra agent to run scheduled checks on your Flatwork ATS hiring pipeline. The Mastra agent uses `list_jobs` to find active roles, then pulls applicants for each role using `list_applicants`. If the agent finds a role with zero active applications, it triggers a workflow to alert your team. This keeps your pipeline moving without requiring manual dashboard checks every morning.

Setup guide

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

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

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

Instantiate `MCPClient` with your Vinkius URL, then spread the tools from `listTools()` into your agent configuration. Your Mastra AI agent can then run `list_applicants` to fetch candidate profiles.

Yes, you can set `requireToolApproval` on the `update_application_status` tool. This pauses the Mastra AI workflow and waits for a recruiter to approve the hiring stage change before executing.

Mastra AI has a built-in workflow engine that automatically retries tool executions like `get_job` or `list_jobs`. If the Flatwork ATS API times out, the system backs off and retries without failing the entire run.

Yes. Your agent can call `list_webhooks` to check which endpoints are listening to applicant events, allowing Mastra to trigger workflows when new candidates apply.

All applicant data, including resumes and emails processed by `get_applicant`, travels through Vinkius's zero-trust, ephemeral V8 sandbox. No candidate profiles are cached or stored on the hosting platform, keeping your hiring pipeline compliant.

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