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Cardly MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cardly through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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 Cardly, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Cardly MCP Server

Connect your Cardly account to any AI agent and orchestrate your personalized gifting, customer appreciation, and physical mail workflows through natural conversation.

The Vercel AI SDK gives every Cardly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the 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

  • Order Management — Place real orders for physical greeting cards with custom messages and designs directly from your workspace.
  • Design Oversight — Browse your custom artwork library and retrieve detailed metadata for individual designs.
  • Order Preview — Generate a watermarked PDF preview of your card to verify content and layout before sending.
  • Contact Coordination — Access and manage your contact lists and add new recipients to your address book.
  • Global Shipping — Send cards to recipients in the US, Australia, UK, and worldwide with automatic address validation.
  • API Verification — Verify your connection and API key status instantly using the echo tool.

The Cardly MCP Server exposes 9 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 Cardly to Vercel AI SDK via MCP

Follow these steps to integrate the Cardly MCP Server with Vercel AI SDK.

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 9 tools from Cardly and passes them to the LLM

Why Use Vercel AI SDK with the Cardly MCP Server

Vercel AI SDK provides unique advantages when paired with Cardly 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 Cardly integration everywhere

03

Built-in streaming UI primitives let you display Cardly 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

Cardly + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Cardly MCP Server delivers measurable value.

01

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

02

API backends: create serverless endpoints that orchestrate Cardly tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Cardly capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Cardly through natural language queries

Cardly MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Cardly to Vercel AI SDK via MCP:

01

add_contact_to_list

Add a new contact to a specific list

02

find_contact

Search for a contact in a list by email

03

get_account_info

Retrieve core account information

04

get_artwork_details

Get details of a specific piece of artwork

05

list_card_artwork

List available greeting card designs/artwork

06

list_contact_lists

List all contact lists in your account

07

place_greeting_card_order

Place a real order for a physical greeting card

08

preview_greeting_card

Generate a preview of a greeting card without placing a real order

09

verify_api_connection

Verify connectivity and API key validity

Example Prompts for Cardly in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cardly immediately.

01

"List all the available greeting card designs in my account."

02

"Preview a card with artwork art_1 and message 'Happy Birthday John!'."

03

"Send a thank you card to Jane Smith in Australia."

Troubleshooting Cardly MCP Server with Vercel AI SDK

Common issues when connecting Cardly to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cardly + Vercel AI SDK FAQ

Common questions about integrating Cardly 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.

Connect Cardly to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.