How to Use the ContactOut MCP in Vercel AI SDK

Pull live contact data directly into your Vercel AI SDK frontends for real-time lead generation.

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Connect ContactOut MCP to Vercel AI SDK

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

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Stream contact data into Vercel AI SDK apps

Pipe email and phone data straight from LinkedIn into your React components. Use `find_email_by_linkedin` to populate contact forms without making your users wait on a loading spinner. Your UI updates instantly as the data arrives. It keeps your Vercel AI SDK interface feeling responsive while fetching professional details.

Verify and enrich company profiles

Run `enrich_company` to grab specific firmographic data for your dashboard. You can show current employee counts or industry tags alongside your lead lists. This data arrives as a typed stream. It makes building custom CRM views in Vercel AI SDK much faster than manual scraping.

Track your ContactOut request volume

Call `get_api_usage` to keep an eye on your plan limits. You shouldn't hit a wall while your production app is live. Integrating this into your admin panel prevents surprise outages. It gives you a clear view of how many contacts your Vercel AI SDK app has processed today.

Setup guide

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

You install the MCP client package and point it at the Vinkius endpoint. Then pass the tools into your generateText call. It connects in seconds.

Yes, it runs on the edge. You just need to handle the connection carefully to keep your response times low.

Yes, but watch your API rate limits. You can use the usage tool to monitor your volume.

Your app holds the data in memory during the request. Vinkius doesn't log your specific search queries or the contact details returned.

We use encrypted transport for all lookups. Your API tokens and personal contact results remain isolated from other users in your Vercel AI SDK project.

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