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How to Use the Zenserp MCP in Vercel AI SDK

Get live data streams into your UI using the Vercel AI SDK and Zenserp's search capabilities.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Zenserp MCP to Vercel AI SDK

Create your Vinkius account to connect Zenserp 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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Live Search Results with MCP Server

You call `search_google` to pull current organic results for a given query. The data streams directly into your Next.js component, so the user sees text appearing instantly instead of waiting for a loading state. You can also use `search_images` and `search_maps` this way. This means when your agent finds local listings or pictures, that visual data flows immediately to the client-side UI.

Multi-Platform Data Collection with Vercel AI SDK

Need results from multiple sources? Use `search_bing` alongside `search_duckduckgo` in a single stream. Your agent fetches and presents results from two major search engines, letting you compare data points side-by-side. It also gives access to specialized tools like `search_news`, so your application can pull the latest articles right as they happen.

Streaming Video and Media Data

The Zenserp MCP Server provides streaming results from video sources. Call `search_youtube` to get live search data, or use `search_videos` for broader Google video results. This keeps your front end dynamic. You can also run searches on other platforms using `search_yandex`, giving your AI client access to a wider global scope of media.

Setup guide

Set up Zenserp 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 Zenserp 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 Zenserp 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 Zenserp. 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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Real-time monitoring

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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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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 Zenserp MCP in Vercel AI SDK

The MCP Server exposes tools like `search_google` that your agent calls. The results stream back to your client, allowing you to display data in real-time as it arrives.
Sure thing. You can pass a query string and an optional location to `search_google`. This lets your agent get highly specific local business data or regional news.
This MCP Server handles search query strings and location data. When you use it, your agent's calls are managed through the secure endpoint token.
No. You connect once using `createMCPClient`. The client automatically exposes all available tools, like `search_shopping` and `search_maps`, for your agent to use.
Yes. You just invoke the `search_shopping` tool. Your agent gets current pricing and stock information straight from Google Shopping results.

Start using the Zenserp MCP today

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