ReceiptCal
Related Servers
Alternatives to ReceiptCal
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to access and manage a user's Fitia account, including profile, Premium, food search, diary, meal suggestions, and preview-first writes that require confirmation before mutating data.2-
- AlicenseNot gradedqualityBmaintenanceEnables Claude to act as the memory and reasoning layer for nutrition tracking, letting users log meals from label photos or descriptions, save foods, recipes, meal-prep containers, and restaurant orders, record weigh-ins, and query targets, progress, and projections as tool calls. All writes are previewed with dry runs, checked for plausibility, and reversible.MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to read and log MyFitnessPal nutrition data, including tracking calories, macros, searching foods, and adding meals through natural conversation.77 npmMIT
- AlicenseNot gradedqualityCmaintenanceHousehold-aware kitchen brain for AI agents: manage pantry inventory with freshness tracking, shopping lists, recipe collections with cook notes and per-diner ratings, dietary profiles with allergen safety, and kitchen equipment — all through 27 tools with OAuth 2.1 authentication. Includes a free tool for ingredient-based recipe generation without an account (accounts are free!).MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to search recipes, compose nutritionally balanced meals, optimize weekly meal plans based on macro targets for family members, and generate consolidated grocery lists from a personal recipe database.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to read and write MyFitnessPal data, including food diary, exercises, body measurements, nutrition goals, and water intake.MIT
TDQS
Scored across 73 tools
The action prefixes help, but the set contains many near-duplicate read and stage variants (get_profile vs get_food_profile, get_recommendations vs get_personalized_recommendations, list_meals vs list_v2_meals, multiple recipe-sharing/contribution tools), so an agent must read descriptions closely to avoid misselection.
Nearly all tools use snake_case with a consistent action prefix (prepare_, get_, list_, resolve_, etc.), but a few direct-action names (create_cart_url, confirm_action, export_memory_document) and awkward compounds (prepare_prepare_meal) break the pattern slightly.
73 tools is extreme for a single MCP server, far beyond a well-scoped surface. Even with a broad meal-planning domain, this count imposes heavy selection cost and suggests over-granular staging endpoints.
The surface covers onboarding, profile, safety constraints, memories, pantry, meal planning/logging, nutrition, grocery, recommendations, commerce handoff, reporting, and recipe sharing, with read/write/stage/cancel/confirm lifecycle support and few obvious dead ends.