Swizzler MCP
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- AlicenseAqualityDmaintenanceEnables intelligent cocktail discovery and recipe retrieval from Bar Assistant instances with natural language search, similarity matching, batch processing, and ingredient analysis capabilities.32MIT
- FlicenseAqualityDmaintenanceEnables natural language search for cocktail recipes and ingredient information through TheCocktailDB API. Supports searching by cocktail name, ingredient, category, or alcohol content to discover recipes and recommendations.5-
- FlicenseAqualityDmaintenanceEnables management of your home bar inventory and cocktail discovery through Bar Assistant. View shelf ingredients, find cocktails you can make, and add or remove items from your bar collection.6-
- AlicenseNot gradedqualityCmaintenanceEnables searching for cocktail recipes by name, ingredient, or randomly, and retrieving full cocktail details including ingredients, measurements, and instructions via TheCocktailDB API.2 npmMIT
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- 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
TDQS
Scored across 8 tools
Most tools have clearly distinct purposes (ingredient matching, search, history, queue, collections). The main overlap is snapshot_status vs diagnose_sync, both about library freshness/sync, though the descriptions differentiate reporting status from explaining causes.
All names use snake_case consistently, which is good. However, the verb/noun patterns vary: some are verb_noun (search_recipes, get_recipe, list_collections), others are plain nouns (recipe_history, snapshot_status) or question phrasing (what_can_i_make, whats_next).
Eight tools is well-scoped for a cocktail library assistant, each covering a distinct user intent without redundancy or bloat.
Read-side coverage is strong: discovery, search, detail, history, queue, collections, and sync troubleshooting. The surface appears read-only with no write operations (e.g. rating or adding recipes), a minor gap if mutation is in scope.