Wine-Searcher MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Wine-Searcher through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"wine-searcher": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Wine-Searcher, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Wine-Searcher through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Wine-Searcher MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from Wine-Searcher via MCP
Why Use LangChain with the Wine-Searcher MCP Server
LangChain provides unique advantages when paired with Wine-Searcher through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Wine-Searcher MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Wine-Searcher queries for multi-turn workflows
Wine-Searcher + LangChain Use Cases
Practical scenarios where LangChain combined with the Wine-Searcher MCP Server delivers measurable value.
RAG with live data: combine Wine-Searcher tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Wine-Searcher, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Wine-Searcher tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Wine-Searcher tool call, measure latency, and optimize your agent's performance
Wine-Searcher MCP Tools for LangChain (6)
These 6 tools become available when you connect Wine-Searcher to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Wine-Searcher to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWine-Searcher + LangChain FAQ
Common questions about integrating Wine-Searcher MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.