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TarotAPI MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TarotAPI 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 TarotAPI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About TarotAPI MCP Server

Connect TarotAPI to any AI agent and access the complete 78-card tarot deck with detailed meanings, keywords, fortune telling interpretations, and card imagery through natural language.

The Vercel AI SDK gives every TarotAPI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • Daily Draw — Pull a random card for daily guidance and reflection
  • Full Deck Browser — Explore all 78 Major and Minor Arcana cards
  • Detailed Readings — Get upright and reversed meanings, keywords, and fortune telling interpretations for any card
  • Multi-Card Spreads — Draw multiple random cards for past/present/future or Celtic Cross readings
  • Meaning Search — Find cards by their interpretive meanings or keywords
  • Card Details — Access full card descriptions, imagery, and arcana classifications

The TarotAPI MCP Server exposes 6 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 TarotAPI to Vercel AI SDK via MCP

Follow these steps to integrate the TarotAPI 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 6 tools from TarotAPI and passes them to the LLM

Why Use Vercel AI SDK with the TarotAPI MCP Server

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

03

Built-in streaming UI primitives let you display TarotAPI 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

TarotAPI + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

TarotAPI MCP Tools for Vercel AI SDK (6)

These 6 tools become available when you connect TarotAPI to Vercel AI SDK via MCP:

01

get_api_info

Get TarotAPI information

02

get_card

Includes full meanings (upright and reversed), keywords, fortune telling interpretations, description, and card image. Use short names like "ar01" (The Magician), "swac" (Ace of Cups), "wa02" (Two of Wands), etc. Get detailed information about a specific tarot card

03

get_multiple_random_cards

Useful for multi-card spreads like three-card past/present/future readings or Celtic Cross layouts. Returns up to 78 cards (full deck). Get multiple random tarot cards for a spread

04

get_random_card

Perfect for daily draws, quick readings, or when you need guidance from the tarot without specifying a particular card. Get a random tarot card for a daily reading

05

list_all_cards

Returns card names, numbers, arcana types, suits, and short names. Use this to browse the full deck or find card identifiers for detailed lookups. List all 78 tarot cards

06

search_cards

Supports searching by upright meaning, reversed meaning, or general text query. Returns all cards that match the search criteria with full card details. Search tarot cards by meaning or keywords

Example Prompts for TarotAPI in Vercel AI SDK

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

01

"Pull a card for my daily reading."

02

"Give me a three-card past/present/future reading."

03

"What does The Fool card mean in tarot?"

Troubleshooting TarotAPI MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TarotAPI + Vercel AI SDK FAQ

Common questions about integrating TarotAPI 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 TarotAPI to Vercel AI SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.