How to Use the CATS ATS MCP in Mastra AI

Q: Can Mastra AI run parallel searches on CATS ATS?

You can trigger multiple instances of searchcandidates in parallel if your workflow logic allows it. The server handles these concurrent requests to keep your agent crew moving quickly.

Build automated recruitment workflows in Mastra AI using the CATS ATS MCP Server.

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Connect CATS ATS MCP to Mastra AI

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

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Automate candidate sourcing with Mastra AI

Chain `search_candidates` and `get_candidate_details` into your agent workflows to filter talent automatically. If your agent finds a match, the workflow proceeds to the next step without human intervention. This setup handles branching logic based on the tool output. If the candidate search returns zero results, your agent can branch to a fallback task to source from a different database.

Manage job orders through Mastra AI agents

Use `list_job_orders` to feed your agent a list of active roles. The agent then performs conditional checks on each job to see if it meets specific internal requirements. Failed attempts trigger automatic retries defined in your workflow engine. This ensures your agent maintains a stable connection to your recruitment data even when network latency spikes.

Log recruitment activities using Mastra AI

Connect `list_recruitment_activities` to your monitoring agents to track interaction history. Your agents review these notes to determine if a candidate requires follow-up. Deployment happens in one command. Once your Mastra logic is set, the MCP Server runs as a managed service, providing the data your agents need to execute complex recruitment tasks.

Setup guide

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

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

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

Define the MCP server in your agent configuration using the Vinkius-provided URL. Once added, the `list_recruitment_companies` and other tools appear as callable functions within your agent definition.

Yes, you can enable approval requirements for any tool call. This forces the agent to pause until a human reviews the candidate or job data fetched from the ATS.

Vinkius secures all communication via an ephemeral session token. Your ATS data remains isolated within the V8 sandbox and is never logged by the infrastructure.

You can trigger multiple instances of `search_candidates` in parallel if your workflow logic allows it. The server handles these concurrent requests to keep your agent crew moving quickly.

The workflow engine catches tool failures and applies your defined retry policies. If the ATS is unreachable, the agent follows your pre-set error path rather than crashing.

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