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Vinkius runs on Vercel AI SDK

How to Use the ZipRecruiter MCP in Vercel AI SDK

Stream real-time job data into your frontend with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

ZipRecruiter MCP on Cursor AI Code Editor MCP Client ZipRecruiter MCP on Claude Desktop App MCP Integration ZipRecruiter MCP on OpenAI Agents SDK MCP Compatible ZipRecruiter MCP on Visual Studio Code MCP Extension Client ZipRecruiter MCP on GitHub Copilot AI Agent MCP Integration ZipRecruiter MCP on Google Gemini AI MCP Integration ZipRecruiter MCP on Lovable AI Development MCP Client ZipRecruiter MCP on Mistral AI Agents MCP Compatible ZipRecruiter MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect ZipRecruiter MCP to Vercel AI SDK

Create your Vinkius account to connect ZipRecruiter to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Live Job Data Streaming for ai-sdk

When you call `ziprecruiter_search_jobs`, the results stream directly into your UI. This means job listings appear in real time, ditching that annoying loading spinner. The user sees the data flowing as it arrives from the MCP Server. It’s perfect for building frontends where speed matters; the instant feedback drastically improves the end-user experience.

Build Interactive Job Search Experiences

You can structure your application to call `ziprecruiter_search_jobs` based on user input in React or Svelte components. The MCP handles the complex API calls, and your SDK client manages the flow. Because this data streams, you don't have to wait for a massive payload. You process chunks of job results as they arrive, making your application feel snappy and responsive.

Handling Job Search Credentials Securely

The Vinkius MCP handles all the credentials securely through an ephemeral zero-trust proxy. Your keys never sit on disk—that's a huge win for production apps. The `ziprecruiter_search_jobs` tool integrates this security model directly into your client calls, letting you focus purely on the user experience without worrying about credential storage.

Setup guide

Set up ZipRecruiter 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 ZipRecruiter transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZipRecruiter. 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.

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 ZipRecruiter MCP in Vercel AI SDK

You call `ziprecruiter_search_jobs` with the required keywords, location, and salary criteria. Because you're using the Vercel AI SDK, these results stream into your UI right away.
Yep. You can pass multiple parameters to `ziprecruiter_search_jobs`—like niche skills plus a salary range. The MCP handles the multi-variable search, giving you highly filtered results.
Absolutely. That's where this MCP shines for streaming frontends. Results from `ziprecruiter_search_jobs` appear in your application instantly, not after a delay.
This server handles job listing data, including keywords, locations, and salary information for various roles on ZipRecruiter.
It's built to be stable. By running inside an isolated V8 sandbox, every call to `ziprecruiter_search_jobs` is tamper-proof and highly secure.

Start using the ZipRecruiter MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 1 tools

We've already built the connector for ZipRecruiter. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 1 tools are live and waiting. You're up and running in seconds.

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