Cin7 Core MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cin7 Core 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 Cin7 Core. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Cin7 Core?"
)
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 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.
LlamaIndex agents combine Cin7 Core tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- 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 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 Cin7 Core to LlamaIndex via MCP
Follow these steps to integrate the Cin7 Core 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 10 tools from Cin7 Core
Why Use LlamaIndex with the Cin7 Core MCP Server
LlamaIndex provides unique advantages when paired with Cin7 Core through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cin7 Core tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cin7 Core tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cin7 Core, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cin7 Core tools were called, what data was returned, and how it influenced the final answer
Cin7 Core + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cin7 Core MCP Server delivers measurable value.
Hybrid search: combine Cin7 Core real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cin7 Core 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 Cin7 Core for fresh data
Analytical workflows: chain Cin7 Core queries with LlamaIndex's data connectors to build multi-source analytical reports
Cin7 Core MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Cin7 Core to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Cin7 Core to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCin7 Core + LlamaIndex FAQ
Common questions about integrating Cin7 Core 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.