How to Use the Datanyze MCP in Vercel AI SDK

Q: How do I configure the Datanyze MCP Server with the Vercel AI SDK?

Install @ai-sdk/mcp and instantiate the client using createMCPClient with your Vinkius HTTP URL. Pass the tools directly into streamText and always call mcpClient.close() when the execution finishes to prevent memory leaks.

Q: Can I stream Datanyze contact details in real-time using Vercel AI SDK?

Yes, you can stream decision-maker profiles from getdomaincontacts right into your UI components. The Vercel AI SDK handles the incoming text stream from the tool, rendering titles and social links as the model processes them.

Q: How does the Datanyze credit check tool work in Vercel AI SDK?

Your model calls getapicreditbalance to check your remaining balance before executing heavy domain lookups. This lets you write logic in your Vercel AI SDK backend to halt queries if your credits run low.

Feed live Datanyze company intelligence directly into your Next.js UI using the Vercel AI SDK.

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Connect Datanyze MCP to Vercel AI SDK

Create your Vinkius account to connect Datanyze 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 Datanyze with Vercel AI SDK

Ask AI about this MCP

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Audit stacks live with Vercel AI SDK and Datanyze

`quick_tech_audit` gets the core software stack of any domain and pipes it straight to your UI. This tool bypasses slow backend loads by streaming the raw technographic list directly to your front-end components. Your Vercel AI SDK application renders the tech stack as it resolves, showing users real-time intelligence. You don't make your users wait for a full payload when they need to check what tools a lead runs.

Find target buyers without leaving your app

`search_b2b_companies` queries company names and industries to build lists of hot targets. This tool feeds clean organization profiles straight into your agentic search interface. By integrating this tool with your Vercel AI SDK setup, you let your users filter prospects and see company details populate on their screen instantly. It makes building lead lists feel instantaneous rather than clunky.

Identify market rivals using this MCP Server

`list_competitor_domains` identifies companies with matching tech profiles to map out a prospect's competitive field. It works alongside `get_domain_traffic_rank` to sort these rivals by global traffic volume. This MCP Server feeds these ranked domains to your UI stream, allowing your sales agents to instantly compare market positions for any prospect. Your users get a clear picture of competitor markets without manual research.

Setup guide

Set up Datanyze 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 Datanyze 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 Datanyze 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 Datanyze. 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 Datanyze MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the client using `createMCPClient` with your Vinkius HTTP URL. Pass the tools directly into `streamText` and always call `mcpClient.close()` when the execution finishes to prevent memory leaks.

Yes, you can stream decision-maker profiles from `get_domain_contacts` right into your UI components. The Vercel AI SDK handles the incoming text stream from the tool, rendering titles and social links as the model processes them.

Your model calls `get_api_credit_balance` to check your remaining balance before executing heavy domain lookups. This lets you write logic in your Vercel AI SDK backend to halt queries if your credits run low.

Yes, this MCP Server runs over standard HTTP, making it fully compatible with edge runtimes. You can query domain technographics without hitting standard serverless timeout limits.

Vinkius processes all Datanyze requests inside isolated V8 sandboxes that do not store your retrieved technographics or B2B contact details. Your API tokens and queried company data remain encrypted and are discarded as soon as the session closes.

Use it with your favorite AI tools

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