How to Use the Jaicob MCP in Mastra AI

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Connect Jaicob MCP to Mastra AI

Create your Vinkius account to connect Jaicob 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 Jaicob with Mastra AI

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Perplexity

Complex recruitment workflow automation

Use `list_recruitment_leads` inside your Mastra AI agents to trigger conditional logic based on lead status. If a lead isn't qualified, the agent can automatically flag it for review. It handles the heavy lifting of multi-step processes. You define the path, and the agent executes the steps using the available toolset.

Safety and human-in-the-loop control

Require approval for `create_candidate` actions to ensure no garbage data enters your CRM. Mastra AI pauses the workflow until you verify the output. You keep total control over the hiring pipeline. The agent prepares the record, but you pull the trigger before it writes to the database.

Dynamic vacancy and lead tracking

The agent monitors `list_vacancies` to check for updates in real-time. If a job closes, the agent can pivot the conversation with the candidate immediately. It keeps your recruitment funnel moving without manual intervention. You set the rules for how the agent reacts to changes in your job listings.

Setup guide

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

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

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

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Common questions about Jaicob MCP in Mastra AI

Mastra AI handles retries natively. You just configure the agent to catch errors from the MCP Server and apply your preferred backoff strategy.

Yes, you can map any of the six tools to a workflow step. When the agent calls `list_recruitment_leads`, the result can trigger the next phase of your pipeline.

We support the standard approval hooks. When the agent attempts to run a write-heavy tool, the framework halts and waits for your confirmation.

The server follows a strict schema. If the data doesn't match, the agent will throw a validation error, which you can catch using standard try-catch blocks.

We enforce strict transport security. Candidate email addresses and phone numbers are encrypted in transit, and no persistent logs are kept on the server.

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