ApplicantStack MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ApplicantStack through 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: {
"applicantstack": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ApplicantStack Agent",
instructions:
"You help users interact with ApplicantStack " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ApplicantStack?"
);
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 ApplicantStack MCP Server
The ApplicantStack MCP Server integrates your recruiting and onboarding workflows directly into your AI workspace. Efficiently manage your job listings, track candidate progress through custom stages, and streamline your hiring process using simple natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and ApplicantStack tool infrastructure. Connect 7 tools through 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.
Key Features
- Job Management — List all active and closed job openings, and retrieve full metadata for any specific listing.
- Candidate Tracking — Access your entire applicant database and filter by workflow stage or score.
- Workflow Automation — Move candidates between stages (e.g., from 'Interview' to 'Hired') and update their profiles instantly.
- Onboarding & Hires — Access onboarding data for new hires to ensure a smooth transition from applicant to employee.
- Secure Access — Uses private access tokens to safely interact with your organization's recruiting data.
Benefits for Teams
- Recruiters — Quickly check the status of candidates for multiple jobs without switching between tabs.
- Hiring Managers — Review candidate profiles and scores using AI-assisted summaries.
- HR Teams — Track hiring trends and ensure onboarding tasks are initiated for all new hires.
The ApplicantStack MCP Server exposes 7 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 ApplicantStack to Mastra AI via MCP
Follow these steps to integrate the ApplicantStack 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 7 tools from ApplicantStack via MCP
Why Use Mastra AI with the ApplicantStack MCP Server
Mastra AI provides unique advantages when paired with ApplicantStack through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ApplicantStack 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 ApplicantStack 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
ApplicantStack + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ApplicantStack MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ApplicantStack, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ApplicantStack as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ApplicantStack on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ApplicantStack tools alongside other MCP servers
ApplicantStack MCP Tools for Mastra AI (7)
These 7 tools become available when you connect ApplicantStack to Mastra AI via MCP:
get_account_check
Verify ApplicantStack account connection
get_candidate
Get details for a specific candidate
get_job
Get details for a specific job
list_candidates
List all candidates
list_hires
List all hires (onboarding)
list_jobs
List all job listings in ApplicantStack
update_candidate
Use stage field to move them in the workflow. Update candidate information or stage
Example Prompts for ApplicantStack in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ApplicantStack immediately.
"List all active job openings in ApplicantStack."
"Show me candidates currently in the 'Interview' stage."
"Move candidate 'C12345' to the 'Hired' stage."
Troubleshooting ApplicantStack MCP Server with Mastra AI
Common issues when connecting ApplicantStack to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpApplicantStack + Mastra AI FAQ
Common questions about integrating ApplicantStack 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 ApplicantStack 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 ApplicantStack to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.