USDA FoodData Central MCP Server
Related Servers
Alternatives to USDA FoodData Central MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides tools to search and retrieve USDA Food Data Central information, including food items, nutrients, and food groups, enabling AI agents to query food data through natural language.1 npmMIT
- 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 gradedqualityAmaintenanceEnables searching USDA foods, comparing nutrients, and accessing the full FoodData Central database via MCP tools and resources.211 npm1Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.3MIT
- FlicenseNot gradedqualityCmaintenanceProvides access to USDA FoodData Central database, enabling food search, nutrition details, and comparison for dietary analysis via MCP.5-
- 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 16 tools
Several tools return overlapping nutrient data (e.g., get_macros, get_macro_micros, and individual get_kcal/get_protein/get_carbs/get_fats), which could lead an agent to select a broader or narrower result than needed. Descriptions are specific enough to disambiguate most cases, but the set is not fully distinct.
Tool names mix kebab-case (list-foods, search-foods, get-food, get-foods) with snake_case (get_macros, list_portions, macros_for_portion), violating the consistency rule. All use a verb_noun structure, but the hyphen/underscore split is unpredictable.
16 tools is at the edge of the comfortable range, and the many single-nutrient getters (get_kcal, get_protein, get_carbs, etc.) inflate the count without adding truly distinct capabilities. Still, the core search/lookup/portion workflows justify most of the tools.
For a read-only food database, the server covers discovery (search/list), retrieval (get-food/get-foods), nutrient breakdowns, and portions. No obvious dead ends; minor gaps like per-food-specific nutrient filtering for raw values are not needed since get-food supports nutrient subsets.