Cin7 Core MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cin7 Core 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({
"cin7-core": {
"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 Cin7 Core, 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 Cin7 Core MCP Server
Integrate Cin7 Core (formerly DEAR Systems), the advanced cloud-based inventory management platform, directly into your AI workflow. Manage your product catalog, monitor real-time stock levels, track sales and purchase orders, and research customer and supplier data using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Cin7 Core through native MCP adapters. Connect 10 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
- Inventory Intelligence — List and retrieve detailed information for products and check real-time stock availability across warehouses.
- Order Management — Monitor sales and purchase orders, track their status, and access full fulfillment details.
- CRM & Supplier Research — Quickly access customer and supplier profiles and their historical interactions.
- Multi-warehouse Oversight — Track inventory locations and stock movement efficiently via chat.
The Cin7 Core MCP Server exposes 10 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 Cin7 Core to LangChain via MCP
Follow these steps to integrate the Cin7 Core 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 10 tools from Cin7 Core via MCP
Why Use LangChain with the Cin7 Core MCP Server
LangChain provides unique advantages when paired with Cin7 Core through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cin7 Core 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 Cin7 Core queries for multi-turn workflows
Cin7 Core + LangChain Use Cases
Practical scenarios where LangChain combined with the Cin7 Core MCP Server delivers measurable value.
RAG with live data: combine Cin7 Core tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cin7 Core, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cin7 Core tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cin7 Core tool call, measure latency, and optimize your agent's performance
Cin7 Core MCP Tools for LangChain (10)
These 10 tools become available when you connect Cin7 Core to LangChain via MCP:
get_all_stock_availability
Returns real-time availability data including on-hand, allocated, and available-to-sell quantities across all configured warehouse locations. Retrieve current stock availability across all warehouses
get_product_details
Resolves detailed attributes such as dimensions, weight, supplier info, and tax rules for the given product GUID. Get detailed information for a specific product by ID
get_sale_order_details
Resolves individual line items, shipping addresses, invoice details, and the current fulfillment progress. Get full details for a specific sales order
get_sku_stock_status
Provides a detailed breakdown of quantities across all physical locations and virtual bins. Get stock levels for a specific product SKU
list_crm_customers
Returns customer metadata including contact names, company details, and credit limits. List all customers registered in the system
list_crm_suppliers
Returns vendor profiles including primary contact info, default currency, and payment terms. List all suppliers and vendors
list_inventory_products
Returns a list of products with metadata including SKU, name, category, and base price. List all products in your Cin7 Core (DEAR) catalog
list_purchase_orders
Returns a list of purchase orders including supplier details, order date, and inbound status (e.g., ordered, received). List all purchase orders and inbound shipments
list_sales_orders
Returns order metadata including customer ID, total value, and current status (e.g., drafted, authorized, packed, shipped). List all sales orders and their current fulfillment status
search_products_by_sku
Returns stock and identification data for products matching the provided SKU identifier. Search for a product using its SKU
Example Prompts for Cin7 Core in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cin7 Core immediately.
"What is the stock level for product SKU 'CH-1001'?"
"List all sales orders that are currently 'Awaiting Fulfillment'."
"Show me the contact details for supplier 'Furniture Pros'."
Troubleshooting Cin7 Core MCP Server with LangChain
Common issues when connecting Cin7 Core to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCin7 Core + LangChain FAQ
Common questions about integrating Cin7 Core 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 Cin7 Core 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 Cin7 Core to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.