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 OpenAI Agents SDK 2 tools — connect in under 2 minutes

Name: Open Food Facts
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 2 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open Food Facts through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Open Food Facts Assistant",
            instructions=(
                "You help users interact with Open Food Facts. "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Open Food Facts"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 2 tools from Open Food Facts through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Open Food Facts, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 Open Food Facts to OpenAI Agents SDK via MCP

Follow these steps to integrate the Open Food Facts MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 2 tools from Open Food Facts

Why Use OpenAI Agents SDK with the Open Food Facts MCP Server

OpenAI Agents SDK provides unique advantages when paired with Open Food Facts through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Open Food Facts + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Open Food Facts MCP Server delivers measurable value.

Automated workflows: build agents that query Open Food Facts, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Open Food Facts, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Open Food Facts tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Open Food Facts to resolve tickets, look up records, and update statuses without human intervention

Open Food Facts MCP Tools for OpenAI Agents SDK (2)

These 2 tools become available when you connect Open Food Facts to OpenAI Agents SDK 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

Example Prompts for Open Food Facts in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Open Food Facts immediately.

"Scan barcode 3017620422003"

"Search for vegan protein bars with a Nutri-Score of A."

"What is the NOVA group for a standard can of Coca-Cola?"

Troubleshooting Open Food Facts MCP Server with OpenAI Agents SDK

Common issues when connecting Open Food Facts to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Open Food Facts + OpenAI Agents SDK FAQ

Common questions about integrating Open Food Facts MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.