How to Use the Vinsight MCP in Vercel AI SDK
Stream live Vinsight data directly into your UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vinsight MCP to Vercel AI SDK
Create your Vinkius account to connect Vinsight to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get real-time inventory counts.
When you need to know how much product is left, use the `list_stock_levels` tool. It immediately pulls critical fulfillment data so your users see stock numbers appearing live in their app. This real-time streaming is perfect for showing current inventory status right when a user checks an order or runs a report using Vinsight.
Search and display product details instantly.
To show users specific item info, call `search_stock_items`. This tool returns everything from SKU numbers to tax codes for any wine, beer, or spirit. The data streams right into the component. This lets you build an interactive product lookup page where the user sees the details update instantly as the AI client runs the query against Vinsight.
Monitor production batches live.
If a quality check happens, use `list_lab_results` to get compliance data sorted by date. The streamed results populate a table in your frontend without any loading spinners. This capability is crucial for Vinsight apps where users need immediate verification of lab analysis results to confirm product readiness.
Set up Vinsight MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Vinsight tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Vinsight transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vinsight. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vinsight MCP in Vercel AI SDK
Use it with your favorite AI tools
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