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

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TarotAPI through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to TarotAPI "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TarotAPI?"
    )
    print(result.data)

asyncio.run(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.

Pydantic AI validates every TarotAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the TarotAPI MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 6 tools from TarotAPI with type-safe schemas

Why Use Pydantic AI with the TarotAPI MCP Server

Pydantic AI provides unique advantages when paired with TarotAPI through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your TarotAPI integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your TarotAPI connection logic from agent behavior for testable, maintainable code

TarotAPI + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query TarotAPI with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple TarotAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query TarotAPI and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock TarotAPI responses and write comprehensive agent tests

TarotAPI MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect TarotAPI to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TarotAPI + Pydantic AI FAQ

Common questions about integrating TarotAPI MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your TarotAPI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect TarotAPI to Pydantic AI

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