How to Use the ApplicantStack MCP in Mastra AI

Q: Can I use ApplicantStack with Mastra AI conditional logic?

You can. Use the output of getcandidate to drive branching logic in your agents. If a candidate hits a specific stage, you can trigger downstream tasks.

Build resilient hiring workflows in Mastra AI using ApplicantStack integration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ApplicantStack MCP to Mastra AI

Create your Vinkius account to connect ApplicantStack 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.

GDPR Free for Subscribers

Setup ApplicantStack with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

ApplicantStack branching for Mastra AI

Create logic flows that react to candidate status changes. Use `list_candidates` to trigger specific onboarding steps based on the current stage. If a record update fails, your Mastra AI workflow catches the error and retries the `update_candidate` tool automatically. You define the logic, and the agent handles the execution.

Mastra AI agents using ApplicantStack tools

Give your agents the ability to query `list_jobs` to match candidates against open roles. The agent inspects the job requirements and identifies the best matches. Every action is logged by your workflow engine. You see exactly when `get_job` was invoked and what data the agent used to make its decision.

Automated onboarding with Mastra AI

Set up a pipeline that executes `list_hires` periodically to sync new employees with your internal systems. Your agents perform this without manual oversight. You can set `requireToolApproval` on the `update_candidate` tool to keep a human in the loop. This prevents accidental changes while keeping the process moving.

Setup guide

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

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

const result = await agent.generate(
  "List recent ApplicantStack transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ApplicantStack. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ApplicantStack now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ApplicantStack MCP in Mastra AI

Install the MCP package and add the server URL to your Mastra client configuration. The agent automatically detects the tools and makes them available for use.

It does. You can configure exponential backoff in your workflow definition. This ensures that transient network issues don't break your hiring pipeline.

You can. Use the output of `get_candidate` to drive branching logic in your agents. If a candidate hits a specific stage, you can trigger downstream tasks.

We manage your connection via a secure endpoint token. Your agent only accesses the tools you explicitly expose through the server configuration.

Only the information returned by the toolset, such as names and stage IDs. This data is processed in memory and never stored on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python