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Global Wine Score 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 Global Wine Score through 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 Global Wine Score "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())
Global Wine Score
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About Global Wine Score MCP Server

Connect to Global Wine Score and access the most objective wine rating system — scores aggregated and normalized from the world's leading critics.

Pydantic AI validates every Global Wine Score tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through 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

  • Wine Scores — Search any wine and get its aggregated score (0-100) with confidence index
  • Latest Ratings — Browse the most recently published scores from top critics worldwide
  • By Color — Filter by Red, White, Rosé, or Sparkling to find the best in each category
  • By Country — Explore top-rated wines from France, Italy, USA, Spain, Australia, and more
  • By Vintage — Compare vintages to identify exceptional years and investment opportunities
  • Top Wines — Discover elite wines scoring 95+ from a consensus of respected critics

The Global Wine Score 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 Global Wine Score to Pydantic AI via MCP

Follow these steps to integrate the Global Wine Score 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 Global Wine Score with type-safe schemas

Why Use Pydantic AI with the Global Wine Score MCP Server

Pydantic AI provides unique advantages when paired with Global Wine Score 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 Global Wine Score 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 Global Wine Score connection logic from agent behavior for testable, maintainable code

Global Wine Score + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Global Wine Score MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Global Wine Score MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Global Wine Score to Pydantic AI via MCP:

01

get_latest_scores

). Each score is a confidence-weighted average out of 100, with vintage and regional context. Get latest wine scores

02

get_top_scores

The absolute elite — wines rated exceptional by a consensus of the world's most respected critics. For collectors and investment-grade wine discovery. Get top-rated wines

03

scores_by_color

Returns top-rated wines of that style, sorted by score. Perfect for "what are the best white wines right now?" Get scores by wine color

04

scores_by_country

Returns top-rated wines from that country. For regional exploration and comparison. Get scores by country

05

scores_by_vintage

Returns top-rated wines from a specific harvest. Essential for vintage comparison and investment decisions. Get scores by vintage

06

search_wine_scores

Returns all matching wines with their normalized score (0-100), confidence index, vintage, color, country, and regions. The primary tool for answering "what score did X get?" Search scores for a wine

Example Prompts for Global Wine Score in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Global Wine Score immediately.

01

"What are the highest-rated Italian wines of 2020?"

02

"Compare the scores for Château Margaux 2015 and 2016."

03

"Find the top-rated California Cabernet Sauvignon from 2018."

Troubleshooting Global Wine Score MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Global Wine Score + Pydantic AI FAQ

Common questions about integrating Global Wine Score 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 Global Wine Score MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Global Wine Score to Pydantic AI

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