How to Use the BrightMove MCP in Mastra AI

Q: Does Mastra AI support tool approval for BrightMove?

Yes, you can enable requireToolApproval in your configuration. This forces the agent to ask for your confirmation before it executes any changes.

Build complex, failure-aware hiring workflows in Mastra AI using the BrightMove MCP Server.

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Connect BrightMove MCP to Mastra AI

Create your Vinkius account to connect BrightMove 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 BrightMove with Mastra AI

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Branching hiring logic in Mastra AI

Trigger `get_job` or `get_applicant` as steps within your agent workflows. If a call hits an error, Mastra handles the retry logic automatically. This setup allows you to build multi-step recruitment processes. You can chain actions together, ensuring each step finishes before the next one starts.

Automated reference checks

Call `list_references` to verify candidate backgrounds without manual effort. Your agent evaluates the data and decides whether to move them to the next stage. Integrate these checks into your existing pipelines. It handles the heavy lifting of gathering background info so your team focuses on interviews.

Manage user accounts through Mastra AI

Execute `list_user_accounts` to audit who has access to your hiring data. You can build internal tools that monitor team activity across your organization. This provides a clear view of your hiring team's footprint. The agent tracks these accounts, letting you flag any unusual activity immediately.

Setup guide

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

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

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

Add the server to your agent configuration and spread the available tools into the agent's toolset. This enables your workflows to call hiring functions natively.

Yes, you can enable `requireToolApproval` in your configuration. This forces the agent to ask for your confirmation before it executes any changes.

You can define conditional workflows that trigger specific tools. If a candidate hits a certain status, the agent automatically pulls their full file using `get_applicant`.

Mastra provides built-in exponential backoff for all tool calls. You configure the retry limits, and the engine manages the connection stability for you.

Your candidate names and contact details remain encrypted during transit. Every execution runs in an ephemeral V8 sandbox, ensuring your private data never persists beyond your active workflow.

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