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How to Use the Recruit CRM MCP in Mastra AI

Build reliable, self-healing recruiting workflows in Mastra AI using Recruit CRM tools.

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Works with every AI agent you already use

…and any MCP-compatible client

Recruit CRM MCP on Cursor AI Code Editor MCP Client Recruit CRM MCP on Claude Desktop App MCP Integration Recruit CRM MCP on OpenAI Agents SDK MCP Compatible Recruit CRM MCP on Visual Studio Code MCP Extension Client Recruit CRM MCP on GitHub Copilot AI Agent MCP Integration Recruit CRM MCP on Google Gemini AI MCP Integration Recruit CRM MCP on Lovable AI Development MCP Client Recruit CRM MCP on Mistral AI Agents MCP Compatible Recruit CRM MCP on Amazon AWS Bedrock MCP Support
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Vinkius runs on Mastra AI

Connect Recruit CRM MCP to Mastra AI

Create your Vinkius account to connect Recruit CRM 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

Key Capabilities

Automate candidate routing with Mastra AI

`list_job_applications` gathers everyone who applied to your open roles and passes them to your screening agents. Mastra AI processes this list, using conditional branching to sort candidates based on experience or skills. If the CRM API rate limit flags a request, Mastra's built-in workflow engine automatically retries the call with exponential backoff. Your recruiting pipeline keeps moving even when external APIs hit temporary snags.

Human-in-the-loop job publishing

`create_job` writes new roles to your account, but you might not want an autonomous agent publishing vacancies without eyes on them. Mastra lets you enforce `requireToolApproval` on this specific tool. The agent pauses its execution, sends a Slack ping or UI notification to your team, and waits for a manual click before committing the new job post to the database. This keeps your public listings clean and accurate.

Multi-step client onboarding MCP Server integration

`list_companies` pulls existing client records so your agent can verify if a new lead already exists before creating duplicate accounts. If the company is missing, the workflow branches to set up a new record and assign a primary contact. You deploy this entire multi-step agent setup to your cloud provider with a single command. The MCP Server integration handles the underlying API calls, leaving you to focus on the business logic of your hiring pipeline.

Setup guide

Set up Recruit CRM 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Recruit CRM tools become native Mastra tools.

  4. 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: "recruit-crm-mcp-client",
  servers: {
    "recruit-crm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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

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Real-time monitoring

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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 Recruit CRM MCP in Mastra AI

Install `@mastra/mcp@latest` and instantiate a new `MCPClient` pointing to your Vinkius server URL. Call `mcpClient.listTools()` and spread those tools directly into your Mastra agent definition.
Yes, you can configure `requireToolApproval` for sensitive actions like `create_candidate` or job creation. This pauses the agent's workflow until a recruiter reviews and approves the payload.
The framework features built-in retry mechanisms that wrap around the MCP tool calls. If a network blip occurs while retrieving candidate data, Mastra handles the backoff and retry logic automatically.
Absolutely, you can run your Mastra agent locally while it connects to the hosted Vinkius endpoint. The SDK auto-detects the transport protocol, allowing you to debug your recruitment pipelines on your machine.
Yes, company records and contact information are protected by Vinkius's zero-trust, ephemeral architecture. No recruitment data is cached or logged on the proxy server during tool execution.

Start using the Recruit CRM MCP today

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