How to Use the NumVerify MCP in Vercel AI SDK

Q: Can NumVerify help my AI SDK app filter VOIP lines?

Yes, use getphonelinetype to flag VOIP numbers immediately. It identifies if the line is mobile or landline, helping you reject burner accounts.

Q: What happens if a phone number is invalid in the AI SDK?

The validatephone tool returns a clear status field. You handle the logic in your client to prompt the user for a correct number.

Audit phone data in real-time with your AI SDK tools. Stop bad signups before they hit your database.

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Connect NumVerify MCP to Vercel AI SDK

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

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Live phone validation in your UI

Feed `validate_phone` directly into your streamText calls to catch garbage numbers as the user types. The result pushes to your frontend without waiting for a backend round trip. Your UI updates instantly, showing the user if their number is active or junk. It prevents bad data from ever entering your state.

Carrier identification for your app

Use `get_phone_carrier` to pinpoint exactly who handles a user's connection. This helps you identify high-risk virtual providers before you send an expensive SMS. Integrating this into your Edge Functions keeps your latency low. You get the carrier metadata while the user is still filling out your form.

Map locations with the NumVerify MCP Server

Get the precise geographic origin of any number using `get_phone_location`. You can block signups from regions that don't match your service area. This tool feeds the results into your React components for immediate display. It keeps your user base clean without complex server-side logic.

Setup guide

Set up NumVerify 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 NumVerify 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 NumVerify 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 NumVerify. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about NumVerify MCP in Vercel AI SDK

Install the MCP client package and point it to your Vinkius endpoint. Pass the tools into your generateText call to start auditing numbers.

Yes, use `get_phone_line_type` to flag VOIP numbers immediately. It identifies if the line is mobile or landline, helping you reject burner accounts.

The server only processes the phone number you provide to return metadata. It doesn't store your user's contact information.

The `validate_phone` tool returns a clear status field. You handle the logic in your client to prompt the user for a correct number.

The server responds in milliseconds. It provides the metadata you need without dragging down your user's experience.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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