How to Use the HireVue MCP in Mastra AI

Q: How do I configure Mastra AI to retry failed HireVue actions?

You can define a Mastra AI workflow that wraps the HireVue createinterview tool. If HireVue returns a rate limit error, Mastra AI automatically retries the tool execution according to your configured backoff strategy.

Q: Can a Mastra AI agent cancel a HireVue interview?

Yes, you can register the cancelinterview tool within your Mastra AI agent's toolset. The Mastra AI agent can then autonomously call this tool if a candidate fails to complete their HireVue screening.

Q: How do I handle human approval before Mastra AI updates HireVue?

You can use Mastra AI's requireToolApproval setting on the updatecandidate tool. This pauses the workflow and requires a recruiter to approve the update before the changes are committed to HireVue.

Automate multi-step HireVue candidate screening workflows using Mastra AI agents with built-in retries.

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Connect HireVue MCP to Mastra AI

Create your Vinkius account to connect HireVue 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 HireVue with Mastra AI

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Automate Multi-Step HireVue Workflows

Running the `create_interview` tool lets Mastra AI agents schedule HireVue candidate interviews automatically after validating their profile details. If the HireVue API call fails due to a temporary network glitch, Mastra AI's built-in workflow engine retries the call with exponential backoff. Integrating this with `get_candidate` allows you to verify HireVue candidate details before sending the invitation. This prevents broken Mastra AI workflows and ensures that only qualified HireVue profiles proceed to the video screening stage.

Conditional Recruitment Branching with Mastra AI

Calling the `get_interview` tool allows your Mastra AI agent to monitor HireVue interview statuses and execute conditional branches based on candidate progress. If a candidate misses a HireVue deadline, the Mastra AI workflow can automatically trigger a reminder or cancel the slot. Executing `cancel_interview` within a Mastra AI conditional block cleans up stale HireVue invites without manual intervention. The Mastra AI agent handles the decision-making logic, keeping your HireVue pipeline clean.

Keep Job Positions Synced via MCP Server

With the `list_positions` tool, your Mastra AI workflows can fetch active job openings to route candidates to the correct HireVue departments. The Mastra AI agent uses this MCP tool to check specific HireVue requirements before updating candidate records. After verification, the Mastra AI agent calls `update_candidate` to assign the candidate to the correct HireVue position. This automated routing keeps your recruitment data consistent across both Mastra AI and HireVue.

Setup guide

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

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

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

You can define a Mastra AI workflow that wraps the HireVue `create_interview` tool. If HireVue returns a rate limit error, Mastra AI automatically retries the tool execution according to your configured backoff strategy.

Yes, you can register the `cancel_interview` tool within your Mastra AI agent's toolset. The Mastra AI agent can then autonomously call this tool if a candidate fails to complete their HireVue screening.

You can use Mastra AI's `requireToolApproval` setting on the `update_candidate` tool. This pauses the workflow and requires a recruiter to approve the update before the changes are committed to HireVue.

Yes. The hosted HireVue MCP Server runs inside Vinkius's secure V8 isolates, which matches Mastra AI's secure deployment model. You only need a single endpoint token to connect the two systems safely.

The MCP Server processes HireVue interview details and position data entirely within ephemeral Vinkius sandboxes. No personal recruitment data persists in the Mastra AI connection layer, keeping your candidate evaluations secure.

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