Vinsight MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Vinsight through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"vinsight": {
"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 Vinsight, 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 Vinsight MCP Server
Connect your Vinsight operation to any AI agent and manage your entire beverage production business through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Vinsight through native MCP adapters. Connect 12 tools via the 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
- Stock Items — Search your product catalog: wines, beers, spirits, and raw materials with pricing and compliance codes
- Sales Orders — Track orders: customer, items, totals, status, and shipping across all channels
- Production Orders — Monitor production runs: input materials, output products, vessel assignments
- Batches — Track individual lots through the production lifecycle with batch codes and vintage
- Vessels — Monitor tanks, fermenters, barrels, and bright tanks with capacity and fill levels
- Lab Results — View QC analyses: pH, TA, alcohol, SO₂, dissolved oxygen, and residual sugar
- Inventory — Real-time stock levels across all warehouses: available, committed, and on-order
- Contacts — Manage customers, suppliers, and distributors
- Purchase Orders — Track incoming materials: grapes, bottles, corks, chemicals
The Vinsight MCP Server exposes 12 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 Vinsight to LangChain via MCP
Follow these steps to integrate the Vinsight 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 12 tools from Vinsight via MCP
Why Use LangChain with the Vinsight MCP Server
LangChain provides unique advantages when paired with Vinsight through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Vinsight 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 Vinsight queries for multi-turn workflows
Vinsight + LangChain Use Cases
Practical scenarios where LangChain combined with the Vinsight MCP Server delivers measurable value.
RAG with live data: combine Vinsight tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Vinsight, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Vinsight tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Vinsight tool call, measure latency, and optimize your agent's performance
Vinsight MCP Tools for LangChain (12)
These 12 tools become available when you connect Vinsight to LangChain via MCP:
get_sales_order
Get order details
get_stock_item
The definitive product record. Get product details
list_batches
Track individual lots through the production lifecycle. List production batches
list_lab_results
Sorted by date. For quality control and compliance monitoring. List lab analysis results
list_production_orders
Tracks the winemaking or brewing process. List production orders
list_purchase_orders
Supply chain tracking for production inputs. List purchase orders
list_sales_orders
Core revenue tracking for wineries and breweries. List sales orders
list_stock_levels
Critical for fulfillment and reorder decisions. List current inventory
list_vessels
With capacity, current contents, fill level, and location. For cellar space planning. List tanks and barrels
list_warehouses
For multi-site inventory management. List warehouses
search_contacts
Returns contact profile, type, addresses, payment terms, and order history. Search contacts
search_stock_items
Returns product details including SKU, description, unit of measure, price, tax code, and current stock level. Works for wine, beer, spirits, and raw materials. Search wine/beer/spirit products
Example Prompts for Vinsight in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Vinsight immediately.
"What's our current Chardonnay 2024 inventory?"
"Create a new production order to blend 500L of 'Batch 44' into Tank 12."
"Check the latest lab results for the Pinot Noir fermentations in Tank B."
Troubleshooting Vinsight MCP Server with LangChain
Common issues when connecting Vinsight to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersVinsight + LangChain FAQ
Common questions about integrating Vinsight 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 Vinsight 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 Vinsight to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.