How to Use the Indeed MCP in Vercel AI SDK

Q: How do I stream Indeed search results using Vercel AI SDK?

You call the searchjobs tool inside streamText or generateText from the Vercel AI SDK. The server fetches the live Indeed listings and streams them straight to your frontend UI components.

Q: How do I close the connection to this server?

Always invoke mcpClient.close() once your Vercel AI SDK function finishes executing. This prevents open HTTP connections from hanging in your serverless environment.

Fetch and stream live job listings directly into your Next.js frontend using Vercel AI SDK and the Indeed MCP Server.

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Connect Indeed MCP to Vercel AI SDK

Create your Vinkius account to connect Indeed 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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Setup Indeed with Vercel AI SDK

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Vercel AI SDK Streams Indeed Job Data Live

The `search_jobs` tool executes live queries against Indeed and feeds raw listings directly into your Vercel AI SDK stream. Your users watch job titles, salaries, and company names render in real-time on your page instead of staring at a blank loading screen. This setup bypasses the usual API-to-frontend lag. By feeding the Indeed MCP Server tool outputs straight into `streamText`, your React or Next.js application renders live career data instantly.

Edge-Compatible Indeed Searches with MCP Server

Run the `search_jobs` tool inside your Vercel AI SDK edge functions without worrying about heavy dependencies slowing down your cold starts. This lightweight integration keeps your runtime footprint minimal while querying Indeed data on demand. Because Vercel AI SDK handles the HTTP transport efficiently, your edge middleware contacts the Indeed MCP Server, grabs the listings, and closes the connection instantly.

Dynamic UI Generation from Indeed Job Objects

Your custom React components render the structured JSON payload from the `search_jobs` tool as soon as the Vercel AI SDK receives it. You don't have to map complex API schemas manually because the server outputs clean, structured job listings. You can build custom job boards where the Vercel AI SDK dynamically renders custom cards for every Indeed posting found.

Setup guide

Set up Indeed 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 Indeed 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 Indeed transactions",
});

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

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

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Common questions about Indeed MCP in Vercel AI SDK

You call the `search_jobs` tool inside `streamText` or `generateText` from the Vercel AI SDK. The server fetches the live Indeed listings and streams them straight to your frontend UI components.

Yes. Pass specific parameters like location and job type to the `search_jobs` tool through your Vercel AI SDK prompt, and the server returns only those matched roles.

No, you must manage rate limits within your Vercel AI SDK code or use the Vinkius platform configurations. The Indeed MCP Server executes the queries, but your application code handles the backoff.

Always invoke `mcpClient.close()` once your Vercel AI SDK function finishes executing. This prevents open HTTP connections from hanging in your serverless environment.

Vinkius runs the Indeed MCP Server inside isolated V8 sandboxes, meaning your job search queries and location parameters never persist on disk. All search terms pass through ephemeral memory and vanish immediately.

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