Vegetable Yield Percentage MCP
Related Servers
Alternatives to Vegetable Yield Percentage MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.5MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.4318 npmMIT
- AlicenseAqualityBmaintenanceEnables deterministic recipe and portion math with USDA-sourced macros, gram conversions, cooked yields, and per-eater portions.12MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to calculate recipe and per-serving calories, macros, and FDA-rounded Nutrition Facts values from ingredient lines using USDA FoodData Central data, including scaling recipes and looking up ingredient nutrition.MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.647 npmMIT
- 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 4 tools
Each tool has a distinct role: one lookup of yield data, one list/search, and two calculations in opposite directions (trimming a purchased weight vs. scaling up from a recipe amount). The two calculate_ tools do touch the same edible-yield concept, which could cause occasional misselection, but the descriptions make the direction of each clear.
All four tools use a consistent snake_case verb_noun pattern (get_, calculate_, calculate_, list_) with clear object naming. No mixing of conventions or casing styles.
Four tools is well-scoped for a narrow, focused domain (USDA vegetable yield lookup and yield-based calculations). Each tool earns its place with no obvious redundancy.
The surface covers per-item lookup, enumeration/filtering, trim calculation, and purchase-amount calculation, covering the core workflow end to end. Minor gaps exist (e.g. no bulk/multi-item calculations or cooked-yield handling), but agents can work around these with repeated calls.