Winevybe 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 Winevybe 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 Winevybe, 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 Winevybe MCP Server
Connect your Winevybe developer account to any AI agent and take full control of sommelier intelligence and wine inventory tracking through natural conversation.
The Vercel AI SDK gives every Winevybe 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
- Sommelier Recommender — Query for specific wine pairings and tasting notes magically linked behind intelligent algorithms
- Inventory Management — Read and append bottle quantities to persistent user cellars safely via automated workflows
- Vintage Auditing — Cross-reference a specific year to see if the region's climate conditions yielded good harvests
- Pricing Comparisons — Compare distinct bottles instantly to analyze pricing versus critical community reception
- Vineyard Profiling — Retrieve the underlying history and details of major worldwide producers and regions
The Winevybe 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 Winevybe to Vercel AI SDK via MCP
Follow these steps to integrate the Winevybe 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 Winevybe and passes them to the LLM
Why Use Vercel AI SDK with the Winevybe MCP Server
Vercel AI SDK provides unique advantages when paired with Winevybe 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 Winevybe integration everywhere
Built-in streaming UI primitives let you display Winevybe 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
Winevybe + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Winevybe MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Winevybe in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Winevybe tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Winevybe capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Winevybe through natural language queries
Winevybe MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Winevybe to Vercel AI SDK via MCP:
add_wine_to_cellar
Add a purchased bottle into a users virtual cellar tracker
compare_wines
Generate a side-by-side contrast of two bottles
get_pairings
Get food pairing recommendations for a specific wine
get_region_info
Retrieve details about wine-making appellations
get_reviews
Get community tasting reviews and ratings
get_user_cellar
Examine the inventory of an authenticated users wine cellar
get_vintage_scores
Get an overview of harvest qualities by year
get_wine_detail
Get profound tasting notes and stats on a specific wine
get_winery_info
Get profiles of specific vineyards and producers
search_wines
Search the Winevybe database for specific bottles
Example Prompts for Winevybe in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Winevybe immediately.
"Search for details on the Screaming Eagle Cabernet Sauvignon."
"Compare wine 4902 and wine 5910."
"Check my virtual cellar inventory."
Troubleshooting Winevybe MCP Server with Vercel AI SDK
Common issues when connecting Winevybe to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWinevybe + Vercel AI SDK FAQ
Common questions about integrating Winevybe 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 Winevybe 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 Winevybe to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.