HowToCook-mcp
worryzyy/HowToCook-mcp
An MCP (Model Context Protocol) server based on Anduin2017/HowToCook, allowing AI assistants to recommend recipes, plan meals, and solve the age-old question of "what should I eat today?".
Health & Wellness · Research & Data
Open Food Facts MCP
caleb-conner/open-food-facts-mcp
A comprehensive Model Context Protocol (MCP) server that provides AI assistants with access to the Open Food Facts database. Query detailed food product information, nutritional data, and environmental scores to help users make informed food choices.
Install
docker run -i --rm open-food-facts-mcpClient configuration
{
"mcpServers": {
"open-food-facts": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"open-food-facts-mcp"
]
}
}
}Environment variables
OPEN_FOOD_FACTS_BASE_URLOPEN_FOOD_FACTS_USER_AGENT- Author
- @caleb-conner
- Category
- Health & Wellness, Research & Data
- License
- MIT
- Updated
- Oct 6, 2026
Features
Product Lookup: Get detailed information by barcode including nutritional facts, ingredients, and scores
Smart Search: Find products with advanced filtering by categories, brands, nutrition grades, and more
Nutritional Analysis: Interpret Nutri-Score, NOVA processing groups, and Eco-Score ratings
Product Comparison: Compare multiple products side-by-side across different criteria
Dietary Recommendations: Get suggestions based on dietary preferences and restrictions
Rate Limiting: Built-in rate limiting respects Open Food Facts API constraints
Docker Ready: Production deployment with Docker and Docker Compose
Tools (5)
get_product
Retrieve comprehensive product information by barcode.
search_products
Search products with advanced filtering capabilities.
analyze_product
Get detailed nutritional analysis and score interpretations.
compare_products
Compare multiple products across different aspects.
get_product_suggestions
Get personalized product recommendations.
Details on this page are taken from the project's README. Open README
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