ApplicantStack MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ApplicantStack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ApplicantStack, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every ApplicantStack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the ApplicantStack MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from ApplicantStack and passes them to the LLM
Why Use Vercel AI SDK with the ApplicantStack MCP Server
Vercel AI SDK provides unique advantages when paired with ApplicantStack through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ApplicantStack integration everywhere
Built-in streaming UI primitives let you display ApplicantStack tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ApplicantStack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ApplicantStack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ApplicantStack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ApplicantStack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ApplicantStack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ApplicantStack through natural language queries
ApplicantStack MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect ApplicantStack to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting ApplicantStack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApplicantStack + Vercel AI SDK FAQ
Common questions about integrating ApplicantStack MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.