Cin7 Core MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cin7 Core through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Cin7 Core, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Cin7 Core tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Cin7 Core MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Cin7 Core and passes them to the LLM
Why Use Vercel AI SDK with the Cin7 Core MCP Server
Vercel AI SDK provides unique advantages when paired with Cin7 Core through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cin7 Core integration everywhere
Built-in streaming UI primitives let you display Cin7 Core tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cin7 Core + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cin7 Core MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cin7 Core in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cin7 Core tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cin7 Core capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cin7 Core through natural language queries
Cin7 Core MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Cin7 Core to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Cin7 Core to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCin7 Core + Vercel AI SDK FAQ
Common questions about integrating Cin7 Core MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.