Wine-Searcher MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wine-Searcher as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Wine-Searcher. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Wine-Searcher?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Wine-Searcher MCP Server
Connect to Wine-Searcher — the world's largest wine price comparison engine — and access real-time market intelligence for any wine.
LlamaIndex agents combine Wine-Searcher 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 Check — Look up any wine: critic scores, grape varieties, region, alcohol content, and global average/min/max pricing
- Market Price — Compare real-time pricing from 100,000+ merchants: shop names, locations, and direct purchase URLs
- Search Wines — Full-text search across the entire Wine-Searcher database for discovery and exploration
- Grape Info — Detailed grape variety profiles: origins, growing regions, wine styles, and food pairings
- Region Info — Wine region deep-dives: climate, soil, appellations, and notable producers
- Producer Info — Winery profiles: key wines, price ranges, scores, and available vintages
The Wine-Searcher 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 Wine-Searcher to LlamaIndex via MCP
Follow these steps to integrate the Wine-Searcher MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Wine-Searcher
Why Use LlamaIndex with the Wine-Searcher MCP Server
LlamaIndex provides unique advantages when paired with Wine-Searcher through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Wine-Searcher tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Wine-Searcher tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Wine-Searcher, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Wine-Searcher tools were called, what data was returned, and how it influenced the final answer
Wine-Searcher + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Wine-Searcher MCP Server delivers measurable value.
Hybrid search: combine Wine-Searcher real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Wine-Searcher to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Wine-Searcher for fresh data
Analytical workflows: chain Wine-Searcher queries with LlamaIndex's data connectors to build multi-source analytical reports
Wine-Searcher MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Wine-Searcher to LlamaIndex via MCP:
grape_info
Perfect for sommelier education and pairing recommendations. Get grape variety info
market_price
Use for price comparison, market analysis, or finding the best deal on a specific wine. Get global market pricing
producer_info
Use for winery research and brand comparison. Get producer/winery info
region_info
Essential for terroir education and regional exploration. Get wine region info
search_wines
Returns matching wines with pricing, scores, and merchant availability. Use for discovery and exploration. Search the wine database
wine_check
), grape varieties, region, appellation, alcohol content, average/min/max pricing across global merchants. The primary lookup tool for any wine question. Check wine details and scores
Example Prompts for Wine-Searcher in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wine-Searcher immediately.
"What's the average price for Opus One 2021?"
"Find merchants near London selling Dom Pérignon 2012."
"What can you tell me about the Pomerol wine region?"
Troubleshooting Wine-Searcher MCP Server with LlamaIndex
Common issues when connecting Wine-Searcher to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWine-Searcher + LlamaIndex FAQ
Common questions about integrating Wine-Searcher MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Wine-Searcher with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Wine-Searcher to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.