How to Use the Jobtoolz MCP in Vercel AI SDK

Q: How do I handle tool errors in Jobtoolz within Vercel AI SDK?

Wrap your tool calls in standard try-catch blocks. If listjobs fails, the SDK provides the error response so you can prompt your user to try again.

Stream real-time recruitment data into your React or Next.js apps with Jobtoolz and the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Jobtoolz MCP to Vercel AI SDK

Create your Vinkius account to connect Jobtoolz to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Jobtoolz with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live candidate tracking in AI SDK

Feed live applicant updates directly into your frontend interface. When your agent calls `list_candidates`, the results stream into your UI components without waiting for background processes to finish. This immediate feedback loop lets you build dashboards that show hiring progress as it happens. Users see the raw data from `get_candidate` populate their screen instantly, keeping the experience fast and responsive.

Targeted job filtering with AI SDK

Drill down into specific departments or office locations to find relevant roles. Your app uses `list_jobs` and `list_departments` to ensure the AI only pulls data that matches the current user's search intent. This precision prevents the AI from hallucinating open positions. By grounding the model in the exact output from `list_locations`, your application provides accurate information every single time.

Manage pipeline flow via AI SDK

Automate the way your app identifies hiring bottlenecks by querying pipeline stages. Your code invokes `list_stages` to map candidate progress against your internal company requirements. This gives your agent the context needed to summarize where applicants are stuck. You get a clear view of the hiring process directly in your edge-ready application.

Setup guide

Set up Jobtoolz MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Jobtoolz tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Jobtoolz transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jobtoolz. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Jobtoolz now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Jobtoolz MCP in Vercel AI SDK

Install the MCP client package and initialize it with your endpoint. Use `mcpClient.tools()` to expose the Jobtoolz functions to your generation logic.

Yes. The transport layer is built for low-latency environments, so you can call `get_job` or `list_candidates` without adding significant overhead to your response time.

It does. Because the SDK handles streaming, you can pipe the tool output directly into your React components for an instant UI update.

We use encrypted tokens for every request. No candidate contact details are stored in your client-side state beyond the current session.

Wrap your tool calls in standard try-catch blocks. If `list_jobs` fails, the SDK provides the error response so you can prompt your user to try again.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript