Vinsight MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vinsight 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 Vinsight, 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 Vinsight MCP Server
Connect your Vinsight operation to any AI agent and manage your entire beverage production business through natural conversation.
The Vercel AI SDK gives every Vinsight tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- 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 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 Vinsight to Vercel AI SDK via MCP
Follow these steps to integrate the Vinsight 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 12 tools from Vinsight and passes them to the LLM
Why Use Vercel AI SDK with the Vinsight MCP Server
Vercel AI SDK provides unique advantages when paired with Vinsight 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 Vinsight integration everywhere
Built-in streaming UI primitives let you display Vinsight 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
Vinsight + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vinsight MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vinsight in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vinsight tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vinsight capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vinsight through natural language queries
Vinsight MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Vinsight to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Vinsight to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVinsight + Vercel AI SDK FAQ
Common questions about integrating Vinsight 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 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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.