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How to Use the Yu-Gi-Oh MCP in Pydantic AI

Validate Yu-Gi-Oh data with Pydantic AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect Yu-Gi-Oh MCP to Pydantic AI

Create your Vinkius account to connect Yu-Gi-Oh to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Reliably retrieve card stats

When your agent calls `get_card_info`, the MCP response is validated against a Pydantic model. This means if the API sends unexpected data, your agent fails loudly—no silent corruption. It's crucial for building production systems where correctness trumps speed.

Map out card sets and archetypes

Use `list_archetypes` to get a validated list of all major styles. Likewise, calling `list_card_sets` ensures that the set names returned are exactly what your Pydantic model expects. This type-safe approach prevents messy data from breaking complex agent logic.

Get detailed card information

Need a specific card's details? `get_card_info` pulls the stats, and Pydantic guarantees that every field—attack, defense, type—is present and correctly typed. You won't get hallucinated fields. This validation layer makes your agent extremely reliable when dealing with Yu-Gi-Oh data.

Setup guide

Set up Yu-Gi-Oh MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "yu-gi-oh-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Yu-Gi-Oh tools.",
)

result = await agent.run("List recent Yu-Gi-Oh transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Yu-Gi-Oh. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Yu-Gi-Oh MCP in Pydantic AI

You call `get_card_info`. Because the response is validated at runtime, you know those stats are clean and predictable. Your agent can trust the data it gets back.
Yes. The `list_archetypes` tool provides this, but critically, Pydantic validates that every archetype name returned matches the expected string format.
It does. `get_random_card` pulls a fresh card, and before your agent uses it, Pydantic validates that the returned data structure is sound.
Use `get_card_set_info`. The type validation ensures that every piece of set information—like the release date or card count—adheres strictly to your defined schema.
The server deals with structured metadata for cards and sets. This includes stats, names, set IDs, archetypes, and various type fields that must pass strict schema validation.

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