Jobtoolz MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jobtoolz 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 Jobtoolz, 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 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.
The Vercel AI SDK gives every Jobtoolz tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Jobtoolz MCP Server exposes 10 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 Jobtoolz to Vercel AI SDK via MCP
Follow these steps to integrate the Jobtoolz 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 10 tools from Jobtoolz and passes them to the LLM
Why Use Vercel AI SDK with the Jobtoolz MCP Server
Vercel AI SDK provides unique advantages when paired with Jobtoolz 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 Jobtoolz integration everywhere
Built-in streaming UI primitives let you display Jobtoolz 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
Jobtoolz + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jobtoolz MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jobtoolz in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jobtoolz tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jobtoolz capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jobtoolz through natural language queries
Jobtoolz MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jobtoolz to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Jobtoolz to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJobtoolz + Vercel AI SDK FAQ
Common questions about integrating Jobtoolz 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 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.
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 Jobtoolz to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.