How to Use the CUFinder MCP in Vercel AI SDK

Q: How does Vercel AI SDK handle bulk CUFinder enrichment tasks?

The SDK streams the output of bulkenrich chunk by chunk so your frontend updates dynamically. Your users see each enriched record appear in real-time instead of staring at a blank screen.

Feed live, verified B2B lead data straight into your Next.js app components using the Vercel AI SDK.

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Connect CUFinder MCP to Vercel AI SDK

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

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Stream live prospect details via Vercel AI SDK

This MCP Server streams verified contact details like emails and phone numbers directly to your frontend using the Vercel AI SDK. Your users watch the data write itself into the dashboard in real-time as `find_email` and `find_phone` execute behind the scenes. This eliminates loading spinners during bulk operations. Because the Vercel AI SDK handles the stream chunk by chunk, your UI displays the progress of `bulk_enrich` as each record finishes, keeping the interface snappy and responsive even on Edge Functions.

Fetch instant company tech stacks on the Edge

This MCP Server gives your edge-rendered application immediate access to `get_company_tech` and `get_company_revenue` without heavy database overhead. Your AI client reads the technical footprint of a domain instantly, allowing the Vercel AI SDK to generate tailored sales copy on the fly. No cold starts or heavy SDK packages to slow down your serverless execution.

Verify lead quality before rendering UI elements

This MCP Server lets you run verification checks directly inside your streaming chat interface using `verify_email`. If an address is invalid, the agent prompts the user for a correction right away. This interactive loop uses `enrich_linkedin` to pull missing profile details, turning a blank form into a complete contact record while the user watches.

Setup guide

Set up CUFinder 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 CUFinder 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 CUFinder 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 CUFinder. 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.

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Real-time monitoring

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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 CUFinder MCP in Vercel AI SDK

You configure the MCP client in your route handler and pass the tools to `streamText`. This lets tools like `find_email` write their results directly to your React components without waiting for the entire payload to finish loading.

Yes, this server is fully compatible with Edge runtimes. You can call tools like `get_company_info` without hitting cold-start delays or exceeding edge bundle limits.

The SDK streams the output of `bulk_enrich` chunk by chunk so your frontend updates dynamically. Your users see each enriched record appear in real-time instead of staring at a blank screen.

No, Vinkius hosts the MCP Server for you in a secure sandbox. Your Vercel AI SDK setup only needs your single Vinkius endpoint token to access all thirteen tools.

Every email, phone number, and social profile retrieved is processed inside an isolated V8 sandbox on Vinkius. No customer data is stored on our servers, and all API calls are encrypted in transit.

Use it with your favorite AI tools

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