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How to Use the BigOven MCP in Vercel AI SDK

Stream BigOven recipe data directly into your Vercel AI SDK frontends for real-time cooking results.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect BigOven MCP to Vercel AI SDK

Create your Vinkius account to connect BigOven 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.

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Live recipe discovery in Vercel AI SDK

Feed your UI with live data using `search_recipes` or `search_by_ingredient`. Your users see dishes appear instantly as the model processes their request. Stop waiting for spinners. The Vercel AI SDK handles the stream so your React components render the results the second they hit the wire.

Fetch recipe details without leaving your app

Use `get_recipe` to pull exact instructions, ingredients, and cook times. Your app stays focused on the user instead of jumping to external sites. Keep them in your environment. Detailed data streams right into your state management, keeping the experience tight and responsive.

Browse curated collections via MCP Server

Expose `list_collections` and `get_collection` to let users browse seasonal menus. Your AI client manages the navigation while the server does the heavy lifting. This MCP Server provides the raw data structures needed for your frontend. You map the response fields directly to your custom UI components.

Setup guide

Set up BigOven MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all BigOven tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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.

index.ts
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 BigOven 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 BigOven. 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 BigOven MCP in Vercel AI SDK

Install the MCP package and pass the tools to your streamText function. You'll get the JSON back directly in your response stream.
Yes, use `get_recipe_photos` to return image URLs. You can then render these strings in your standard image components.
The server uses HTTP transport, which works perfectly with edge runtimes. Just ensure your environment variables for auth are set.
Call `list_categories` first to get valid filters. Then pass those into your search functions to narrow down the recipe list.
This server only handles public recipe information. No user account data or private credentials ever pass through the connection.

Start using the BigOven MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for BigOven. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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