CUFinder MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Bulk Enrich, Check Cufinder Status, Enrich Linkedin, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CUFinder through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The CUFinder app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using CUFinder, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CUFinder MCP Server
Connect your CUFinder business intelligence account to any AI agent and simplify how you discover professional domains, enrich company metadata, and identify decision makers through natural conversation.
The Vercel AI SDK gives every CUFinder tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Domain Discovery — Find the primary web domain for any company using only its trade name via AI.
- Company Intelligence — Retrieve detailed metadata including industry, location, and estimated annual revenue for specific domains.
- Employee Prospecting — List known employees and key decision makers associated with a company domain.
- LinkedIn Enrichment — Fetch detailed contact info and professional data from specific LinkedIn profile URLs.
- Lead Qualification — Verify company size and financial standing to prioritize your sales outreach.
- Data Accuracy — Enhance your CRM records with verified real-time data directly from the agent.
The CUFinder MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 13 CUFinder tools available for Vercel AI SDK
When Vercel AI SDK connects to CUFinder through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-enrichment, company-intelligence, b2b-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Bulk enrich
Verify connectivity
Enrich LinkedIn profile
Find company domain
Find email address
Find employees
Find phone number
Get account info
Get company info
Get company revenue
Get social profiles
Get tech stack
Verify email
Connect CUFinder to Vercel AI SDK via MCP
Follow these steps to wire CUFinder into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CUFinder MCP Server
Vercel AI SDK provides unique advantages when paired with CUFinder through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same CUFinder integration everywhere
Built-in streaming UI primitives let you display CUFinder tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
CUFinder + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CUFinder MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CUFinder in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CUFinder tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CUFinder capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CUFinder through natural language queries
Example Prompts for CUFinder in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CUFinder immediately.
"Find the domain for the company 'Acme Global Solutions'."
"Show me the employees and decision makers for 'apple.com'."
"Enrich the data from this LinkedIn URL: 'https://linkedin.com/in/stevejobs'."
Troubleshooting CUFinder MCP Server with Vercel AI SDK
Common issues when connecting CUFinder to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCUFinder + Vercel AI SDK FAQ
Common questions about integrating CUFinder MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.