fooddb
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- AlicenseAqualityDmaintenanceEnables natural language access to USDA's FoodData Central database with 1M+ foods, supporting search, nutrition facts, food comparison, and daily value calculations.8MIT
- AlicenseNot gradedqualityCmaintenanceEnables food and nutrition lookups from Open Food Facts and USDA FoodData Central, plus local meal logging, barcode and product searches, nutrient comparisons, allergen and additive data, and daily meal totals.MIT
- AlicenseAqualityCmaintenanceEnables searching and retrieving nutrition data from the USDA FoodData Central API, with tools for food search, nutrient lookups, and bulk operations.168 npmMIT
- AlicenseAqualityDmaintenanceEnables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.51MIT
- AlicenseAqualityDmaintenanceProvides LLMs with access to food nutrition data from Open Food Facts, enabling barcode lookup, product search, and nutrition score comparisons.5MIT
- FlicenseNot gradedqualityDmaintenanceProvides intelligent access to the USDA nutrition database through AI assistants, enabling users to search foods, compare nutritional content, find foods high in specific nutrients, and query authoritative nutrition data across 7,146+ food items through natural language.1-
TDQS
Scored across 9 tools
The four retrieval tools (search_foods, get_food, get_product_by_barcode, get_record_product) are distinguished by lookup key, which is reasonably clear, though get_food vs get_record_product could be momentarily confused since both return a single product. review_queue and decide_review are clearly complementary read/act pairs. Overall purposes are mostly distinct.
Most tools follow a clean verb_noun pattern (search_foods, get_food, decide_review, split_product, read_label), with get_* forms used consistently for lookups. health_report and review_queue break the verb_noun convention as noun phrases, a minor deviation. No mixed casing; all snake_case.
Nine tools is well-scoped for a food database with a curation/review workflow. Each tool covers a distinct lookup path or workflow step, and none feels redundant or filler.
Retrieval is thorough (name, barcode, id, source record) and the review/merge/label-reading lifecycle is covered. However there is no direct tool to edit or create product/nutrient values, and no listing/trigger for fetchers, so manual data management has minor gaps.