NumVerify MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NumVerify 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 NumVerify, 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 NumVerify MCP Server
Empower your AI agent to orchestrate your entire phone validation and identity verification workflow with NumVerify, the global API for phone number intelligence. By connecting NumVerify to your agent, you transform complex validation tasks into a natural conversation. Your agent can instantly verify if a number is valid, audit carrier information, and retrieve geographic location data without you ever touching a manual lookup tool. Whether you are cleaning lead lists or verifying user identity, your agent acts as a real-time communications analyst, ensuring your phone data is always verified and accurate.
The Vercel AI SDK gives every NumVerify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Phone Auditing — Verify if any international phone number is valid and retrieve detailed metadata, including country and dial codes.
- Carrier Oversight — Identify the current carrier for a phone number to maintain a clear view of network distribution.
- Location Discovery — Retrieve the geographic location (city/region) associated with a phone number instantly.
- Line-type Intelligence — Identify if a number is a mobile, landline, or VoIP line to optimize your communication strategy.
- Metadata Integrity — Retrieve official country names and formatting details to maintain strict organizational control over your contact data.
The NumVerify MCP Server exposes 4 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.
How to Connect NumVerify to Vercel AI SDK via MCP
Follow these steps to integrate the NumVerify MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from NumVerify and passes them to the LLM
Why Use Vercel AI SDK with the NumVerify MCP Server
Vercel AI SDK provides unique advantages when paired with NumVerify 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 NumVerify integration everywhere
Built-in streaming UI primitives let you display NumVerify 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
NumVerify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the NumVerify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query NumVerify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate NumVerify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed NumVerify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with NumVerify through natural language queries
NumVerify MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect NumVerify to Vercel AI SDK via MCP:
get_phone_carrier
Get carrier information for a phone number
get_phone_line_type
Identify if a phone number is mobile, landline, or other
get_phone_location
Get geographic location details for a phone number
validate_phone
Verify if a phone number is valid and retrieve metadata
Example Prompts for NumVerify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NumVerify immediately.
"Validate the phone number +14158586273 using NumVerify."
"Identify the carrier for +442071838750."
"Check if +5511999999999 is a mobile line."
Troubleshooting NumVerify MCP Server with Vercel AI SDK
Common issues when connecting NumVerify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNumVerify + Vercel AI SDK FAQ
Common questions about integrating NumVerify 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.Connect NumVerify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NumVerify to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.