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Global Wine Score MCP Server for LlamaIndex 6 tools — connect in under 2 minutes

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Global Wine Score as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Global Wine Score. "
            "You have 6 tools available."
        ),
    )

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

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.

LlamaIndex agents combine Global Wine Score tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Global Wine Score MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Global Wine Score MCP Server

LlamaIndex provides unique advantages when paired with Global Wine Score through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Global Wine Score tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Global Wine Score tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Global Wine Score, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Global Wine Score tools were called, what data was returned, and how it influenced the final answer

Global Wine Score + LlamaIndex Use Cases

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

01

Hybrid search: combine Global Wine Score real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Global Wine Score to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Global Wine Score for fresh data

04

Analytical workflows: chain Global Wine Score queries with LlamaIndex's data connectors to build multi-source analytical reports

Global Wine Score MCP Tools for LlamaIndex (6)

These 6 tools become available when you connect Global Wine Score to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Global Wine Score + LlamaIndex FAQ

Common questions about integrating Global Wine Score MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Global Wine Score tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Global Wine Score to LlamaIndex

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