Jobtoolz MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jobtoolz through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jobtoolz": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jobtoolz Agent",
instructions:
"You help users interact with Jobtoolz " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jobtoolz?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Jobtoolz MCP Server
Empower your AI agents with Jobtoolz's recruitment management platform. This MCP server allows you to list jobs, track candidates, manage pipeline stages, and view departments and locations directly through the Jobtoolz API. Ideal for automating hiring workflows and candidate engagement.
Mastra's agent abstraction provides a clean separation between LLM logic and Jobtoolz tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
The Jobtoolz MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Jobtoolz to Mastra AI via MCP
Follow these steps to integrate the Jobtoolz MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Jobtoolz via MCP
Why Use Mastra AI with the Jobtoolz MCP Server
Mastra AI provides unique advantages when paired with Jobtoolz through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Jobtoolz without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jobtoolz tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Jobtoolz + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jobtoolz MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jobtoolz, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jobtoolz as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jobtoolz on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jobtoolz tools alongside other MCP servers
Jobtoolz MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Jobtoolz to Mastra AI via MCP:
get_candidate
Returns contact details, application history, and custom field values. Use this for deep-dive vetting of an applicant. Retrieves details for a specific candidate
get_job
Returns descriptions, requirements, and internal status. Essential for detailed analysis of a specific role. Retrieves details for a specific job
list_candidates
Includes candidate names, IDs, and current pipeline status. Use this to monitor applicant flow and identify recent entries. Lists all candidates
list_departments
Useful for filtering jobs and candidates by business unit (e.g., Sales, R&D). Lists all departments
list_jobs
Returns job titles, IDs, and departments. Use this to identify open positions and locate job IDs for candidate management. Lists all active jobs
list_locations
Useful for identifying jobs in specific geographical regions. Lists all office locations
list_sources
g., "Company Website", "Indeed") configured in Jobtoolz. Useful for auditing the origins of candidate traffic. Lists all recruitment sources
list_stages
g., "Applied", "Interview", "Offer"). Essential for understanding the company's hiring process. Lists all configured pipeline stages
list_tags
Useful for identifying valid tags before performing a tagged search. Lists all configured tags
list_users
Useful for identifying account administrators or hiring managers. Lists all organization users
Example Prompts for Jobtoolz in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Jobtoolz immediately.
"List all open jobs in Jobtoolz."
"Show me the details for candidate ID '123'."
"Check the available recruitment sources."
Troubleshooting Jobtoolz MCP Server with Mastra AI
Common issues when connecting Jobtoolz to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJobtoolz + Mastra AI FAQ
Common questions about integrating Jobtoolz MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Jobtoolz with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jobtoolz to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.