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How to Use the Adzuna MCP in Vercel AI SDK

Stream live job market data and salary histograms directly into your React frontends using the Adzuna MCP Server with Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Adzuna MCP to Vercel AI SDK

Create your Vinkius account to connect Adzuna 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.

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Stream Job Searches Live

The `search_jobs` tool pipes live vacancy data straight into your Next.js frontend as the user types. Your Vercel AI SDK client grabs thousands of listings across multiple countries using standard two-letter codes. Instead of making users wait for a loading spinner, the job titles and locations appear instantly. You just pass the MCP client tools into `streamText` and watch the UI populate with real employment options.

Build Salary Histograms in React

`get_salary_histogram` fetches current average pay distributions for specific queries while your Vercel AI SDK agent is still generating its response. This means you render charts on the fly. Your frontend components receive the histogram buckets exactly when they need them. The user sees the salary spread for their desired role without ever leaving the page.

Vercel AI SDK MCP Server Integration

Tracking historical pay trends requires the `get_salary_history` tool to pull data for a specific title and country. You call `mcpClient.tools()` and feed that straight into your generation pipeline. Finding who is hiring right now happens through `list_top_companies`. Your Edge Functions handle the request, pulling the top employers for a category and dropping them right into your Svelte or Vue interface.

Setup guide

Set up Adzuna 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 Adzuna 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 Adzuna 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 Adzuna. 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

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

Built-in savings

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

Single dashboard

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place for every integration

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

Common questions about Adzuna MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` and instantiate `createMCPClient` with your HTTP transport URL. Once connected, extract the tools and pass them to your text generation functions. Remember to call `mcpClient.close()` when finished.
Yes. When your agent calls the search tools, the results stream directly into your React or Next.js UI. Users see the vacancies appear instantly without waiting for the entire payload to finish.
You receive live job postings, average pay distributions, and top hiring companies based on keywords. The SDK formats this data so your components can render it immediately.
You can pass an `authProvider` directly into your Vercel client configuration. This handles the authentication flow before the server ever attempts to fetch salary histories or job listings.
Vinkius runs this MCP server inside an ephemeral V8 Isolate Sandbox. Your users' postal codes and specific job queries vanish the moment the connection closes. Zero-trust architecture ensures no search parameters persist after the session ends.

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