F
licenseNot graded
qualityD
maintenanceProvides AI assistants with real-time access to nutrition data from USDA FoodData Central and FatSecret, enabling accurate answers with citations for nutrition queries.
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FatSecret MCP Server
by fliptheweb
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TDQS
B3.3/5.0
Scored across 44 tools
Disambiguation4/5
Tools are mostly scoped to a single resource+action, and the food-lookup cluster (search_foods, autocomplete_foods, find_food_by_barcode, get_food) is clearly differentiated. Minor overlap remains in the exercise group (get_exercises, edit_exercise_entries, get_exercise_entries_month, save_exercise_template) where the boundaries between viewing types, viewing totals, and templating are less crisp, and the four auth tools need the 'first/next' sequencing cues to avoid confusion.
Naming Consistency4/5
Nearly everything follows a predictable verb_noun snake_case pattern (get_*, create_*, edit_*, delete_*, add_*, copy_*, search_*). The only deviations are the auth verbs (check_/setup_/start_/complete_auth) and save_exercise_template vs create_saved_meal using different verbs for essentially the same 'make new' action.
Tool Count2/5
44 tools is well past the heavy threshold, even for a broad API like FatSecret. The set spans eight sub-domains (auth, food lookup, diary, saved meals, recipes, favorites, exercise, weight), but the surface is large enough that an agent must navigate clusters to find the right operation rather than act directly.
Completeness2/5
There are real dead ends: exercise entries can be edited and summarized monthly but no tool creates an exercise entry, yet save_exercise_template presumes entries exist; favorites are asymmetric (get/delete_favorite_food but no add_favorite_food, while recipes have full add/get/delete); and custom foods can be created but never edited or deleted. These gaps will cause agent failures on otherwise core logging workflows.
Maintenance
ActivityMaintained
ResponsivenessOutdated data