Can I use this to generate a formula for a new plant-based meat?

Yes! Use the `create_formulation` tool to instruct Giuseppe to model a specific animal product (e.g., 'Target: Pulled Pork'). You can pass constraints like 'no soy' or 'must contain pea protein'. Giuseppe will return a mathematically generated formula combining plant extracts that mimic the target's molecular profile.

How does Giuseppe match specific flavors?

The `search_flavor_matches` tool analyzes NotCo's proprietary database. Instead of searching for 'beef flavor', Giuseppe searches for the specific volatile molecular compounds that create the beef flavor, and then finds combinations of seemingly unrelated plants (like pineapple and cabbage) that, when combined mathematically, replicate that exact molecular behavior.

Can I predict the cost of a new formulation before making it?

Absolutely. Once Giuseppe generates a formulation, you can pass its ID to the `estimate_cost` tool. The API cross-references the required plant ingredients with global B2B commodity pricing databases to give you an estimated per-kilogram cost for mass production.

NotCo MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes

Name: NotCo
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 14 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect NotCo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

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 NotCo, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About NotCo MCP Server

Connect your AI agent directly to Giuseppe, NotCo’s proprietary Food Tech AI platform. Accelerate your B2B food research and development by commanding Giuseppe through natural language.

The Vercel AI SDK gives every NotCo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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

AI Formulation Generation — Command Giuseppe to analyze the molecular structure of an animal product and generate a plant-based blueprint using combinations from a database of over 300,000 plants
Ingredient Search — Browse and retrieve the molecular, sensory, and functional profiles of thousands of plant extracts and proteins
Flavor & Texture Matching — Use AI computational models to find plant compounds that replicate specific volatile molecules, aromas, and mouthfeels
Nutritional Label Prediction — Run predictive algorithms on custom plant mixtures to estimate the final nutritional values of a recipe before entering the lab
Cost Estimation — Predict the theoretical mass-production cost of an AI-generated formula based on global commodity pricing

The NotCo MCP Server exposes 14 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 NotCo to Vercel AI SDK via MCP

Follow these steps to integrate the NotCo 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 14 tools from NotCo and passes them to the LLM

Why Use Vercel AI SDK with the NotCo MCP Server

Vercel AI SDK provides unique advantages when paired with NotCo 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 NotCo integration everywhere

Built-in streaming UI primitives let you display NotCo 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

NotCo + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the NotCo MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query NotCo in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate NotCo tools and return structured JSON responses to any frontend

Chatbots with tool use: embed NotCo capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with NotCo through natural language queries

NotCo MCP Tools for Vercel AI SDK (14)

These 14 tools become available when you connect NotCo to Vercel AI SDK via MCP:

analyze_nutrition

Analyze the nutritional output of a formulation

create_formulation

Request a new AI formulation

create_project

Create a new R&D project

estimate_cost

Predict the mass production cost of a formulation

get_formulation

Get details of a specific AI formulation

get_ingredient

Get complete molecular profile of an ingredient

list_formulations

g., dairy, meat, sauces). List plant-based AI formulations

list_ingredients

Search the plant-based ingredient molecular database

list_nutritional_profiles

List target nutritional benchmarks

list_projects

List active R&D projects

list_sensory_profiles

List standard sensory profiles

list_suppliers

List approved ingredient suppliers

run_sensory_test

Run an AI simulation of a sensory test

search_flavor_matches

Find plant combinations that mimic a target flavor

Example Prompts for NotCo in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NotCo immediately.

"Ask Giuseppe to create a plant-based alternative for condensed milk, with the constraint 'no palm oil'."

"Run a nutritional analysis on formulation ID #CM-882."

"Estimate the mass-production cost for this formulation."

Troubleshooting NotCo MCP Server with Vercel AI SDK

Common issues when connecting NotCo to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

NotCo + Vercel AI SDK FAQ

Common questions about integrating NotCo MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.