Open Food Facts Alternative MCP. Analyze food nutrition & environmental scores via barcode or search.

You gotta connect this server to your AI client if you want access to a massive global food database. It pulls nutrition facts, ingredient lists, and environmental scores for millions of products. When you use the get_product tool, you instantly pull out all the details for a single item by feeding it an EAN-13 barcode number.

That’s how you get a full record that includes nutritional metrics, eco-scores, and ingredients.

When you need to dig deeper than one product, use search_products. This tool lets you query the whole database using keywords combined with structured filters like category, brand name, or specific labels—say, if you only want 'Vegan' items. You can narrow down your search by filtering for nutrient levels too.

The data it pulls is intense. For one product, you get things like Nutri-Score and the NOVA group classification right in the initial readout. When you check ingredient lists, you don't just see names; you can inspect them directly to look out for specific additives, allergens, or any components that are banned.

The nutritional breakdown is detailed too. It gives you 100g metrics on everything: energy, fats, sugars, and proteins. You can compare products side-by-side with this data, making sure your comparison is accurate down to the gram. The database also lets you search across brands while matching specific labels like 'Organic' or filtering by product category.

If you want a full picture of what’s in it, get_product handles that. You feed it the barcode and boom—you get energy counts, fat percentages, sugar amounts, protein levels, scores, and ingredients all in one go. It's fast.

When searching, remember search_products is your workhorse. You can cross-reference keywords with filters for things like 'low sodium' or 'gluten-free'. This means if you're trying to find a specific type of snack from a certain brand that also happens to be labeled 'Keto,' the tool finds it. It’s powerful.

You shouldn't have to guess what metrics are available; they show up right in the full product record. You can get detailed scores that measure environmental impact, which is huge when you're trying to track down better options. The system doesn't just give numbers; it gives context about how those products stack up against global averages.

It’s designed so your agent handles all the legwork for you. Instead of manually cross-referencing spreadsheets or jumping between different databases, you tell your AI client what you need—say, 'Find me a vegan cereal under 10g of sugar from Brand X'—and it runs that complex query using search_products. If you find a candidate item and then need the full details on its energy content and ingredient list, you just hand over the EAN-13 barcode to get_product.

The whole point is getting reliable data. You can use the toolset to compare multiple products' 100g breakdowns for fats, proteins, or carbs instantly. It handles everything from identifying major allergens in complex ingredient strings to giving you a clean comparison chart of energy metrics across different brands and categories.