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vCard Contacts Parser Extended MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Parse Vcard Contacts

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect vCard Contacts Parser Extended 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 for Vercel AI SDK

The vCard Contacts Parser Extended MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript
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 vCard Contacts Parser Extended, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
vCard Contacts Parser Extended
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Ed25519Audit chain
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 vCard Contacts Parser Extended MCP Server

When you export your phone's address book, you get a massive .vcf file containing hundreds of contacts formatted in the legacy BEGIN:VCARD structure, often bloated with base64-encoded profile pictures. If you ask an LLM to read this raw file, it will exhaust its context window and hallucinate phone numbers and emails.

The Vercel AI SDK gives every vCard Contacts Parser Extended tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

This MCP is a dedicated contact intelligence engine. It runs 100% local on your machine, instantly stripping away the binary noise and converting the raw vCard format into a beautiful, easily queryable JSON array. The AI sees exactly what it needs: First Name, Last Name, Organization, Phone, and Email.

The Superpowers

  • 100% Air-Gapped Privacy: Your personal phonebook never leaves your local machine.
  • Zero Hallucination: Perfect extraction of country codes, emails, and company roles.
  • Massive File Support: Can instantly process a VCF file containing 5,000+ contacts.
  • Assistant Ready: Ask your AI: 'Find the phone number for the CTO of Vinkius in my contacts.'

The vCard Contacts Parser Extended MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 vCard Contacts Parser Extended tools available for Vercel AI SDK

When Vercel AI SDK connects to vCard Contacts Parser Extended through Vinkius, your AI agent gets direct access to every tool listed below — spanning vcard, contact-management, data-parsing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

parse

Parse vcard contacts on vCard Contacts Parser Extended

Provide the absolute file path. Parse a .vcf (vCard) contact export file into structured JSON. Extracts names, phones, emails, and organization details

Connect vCard Contacts Parser Extended to Vercel AI SDK via MCP

Follow these steps to wire vCard Contacts Parser Extended into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 1 tools from vCard Contacts Parser Extended and passes them to the LLM

Why Use Vercel AI SDK with the vCard Contacts Parser Extended MCP Server

Vercel AI SDK provides unique advantages when paired with vCard Contacts Parser Extended through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same vCard Contacts Parser Extended integration everywhere

03

Built-in streaming UI primitives let you display vCard Contacts Parser Extended tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

vCard Contacts Parser Extended + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the vCard Contacts Parser Extended MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query vCard Contacts Parser Extended in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate vCard Contacts Parser Extended tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed vCard Contacts Parser Extended capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with vCard Contacts Parser Extended through natural language queries

Example Prompts for vCard Contacts Parser Extended in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with vCard Contacts Parser Extended immediately.

01

"Search my contacts.vcf and give me a list of everyone who works at 'Vinkius'."

02

"Extract all the email addresses from this vCard export and format them as a CSV."

03

"Look through my contacts and find the phone number for 'Plumber'."

Troubleshooting vCard Contacts Parser Extended MCP Server with Vercel AI SDK

Common issues when connecting vCard Contacts Parser Extended to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

vCard Contacts Parser Extended + Vercel AI SDK FAQ

Common questions about integrating vCard Contacts Parser Extended MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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