Nutri-Score is a front-of-pack nutrition label that rates food products from A (healthiest) to E (least healthy). It's widely used across Europe and helps consumers make informed dietary choices at a glance.

What is the NOVA classification?

The NOVA classification assigns a score from 1 to 4 depending on how much a food is processed. 1 means unprocessed/minimally processed foods, while 4 indicates ultra-processed food and drink products.

Is the allergen data reliable?

The allergen data is derived from product labels uploaded by contributors. While extensive, you should always double-check physical packaging for severe allergies as formulations can change.

Open Food Facts MCP Server for Mastra AI 2 tools — connect in under 2 minutes

Name: Open Food Facts
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

Built by Vinkius GDPR 2 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Open Food Facts through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

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typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "open-food-facts": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Open Food Facts Agent",
    instructions:
      "You help users interact with Open Food Facts " +
      "using 2 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Open Food Facts?"
  );
  console.log(result.text);
}

main();

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About Open Food Facts MCP Server

The Open Food Facts MCP Server connects your AI agent to the world's largest open food product database — over 2 million products from 150+ countries.

Mastra's agent abstraction provides a clean separation between LLM logic and Open Food Facts tool infrastructure. Connect 2 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

Core Capabilities

Barcode Scanner — Instantly look up any packaged food product by its EAN/UPC barcode to get complete nutritional information.
Product Search — Find products by name, brand, or category across the entire global database.
Nutri-Score — Official A-to-E nutritional quality grading used across Europe.
NOVA Classification — Food processing level indicator (1=unprocessed to 4=ultra-processed).
Allergen Detection — Comprehensive allergen warnings including gluten, dairy, nuts, soy, and more.

Zero authentication required. Open source, community-driven data. Essential for health apps, dietary assistants, and grocery shopping tools.

The Open Food Facts MCP Server exposes 2 tools through the Vinkius. Connect it to Mastra AI 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 Open Food Facts to Mastra AI via MCP

Follow these steps to integrate the Open Food Facts MCP Server with Mastra AI.

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.ts and run with npx tsx agent.ts

Explore tools

Mastra discovers 2 tools from Open Food Facts via MCP

Why Use Mastra AI with the Open Food Facts MCP Server

Mastra AI provides unique advantages when paired with Open Food Facts through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Open Food Facts without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every Open Food Facts tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Open Food Facts + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Open Food Facts MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query Open Food Facts, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed Open Food Facts as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query Open Food Facts on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using Open Food Facts tools alongside other MCP servers

Open Food Facts MCP Tools for Mastra AI (2)

These 2 tools become available when you connect Open Food Facts to Mastra AI via MCP:

scan_food_barcode

Returns Nutri-Score, NOVA classification, full macronutrient profile, allergens, and ingredient list. Scan a food product barcode to get complete nutritional and allergen information

search_food_products

Returns nutritional information, Nutri-Score grades, NOVA processing levels, and allergen data for each product. Search the Open Food Facts database for packaged food products