Pour Picks MCP Server
Related Servers
Alternatives to Pour Picks MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables LLMs to search, profile, and compare Japanese sake using a flavor-space engine, including similarity recommendations and side-by-side comparisons.51MIT
- AlicenseAqualityNot gradedmaintenanceProvides access to over 2.5 million US alcohol label records from the TTB via the COLA Cloud API. It enables users to search for labels by brand, barcode, or permit holder and retrieve detailed product information including label images and ABV.6MIT
- 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-
- AlicenseAqualityDmaintenanceEnables intelligent cocktail discovery and recipe retrieval from Bar Assistant instances with natural language search, similarity matching, batch processing, and ingredient analysis capabilities.32MIT
- AlicenseNot gradedqualityDmaintenanceProvides access to the Open Brewery DB API, allowing AI assistants to search for breweries and retrieve detailed information like location, type, and contact details. It enables interactive exploration of a global database containing over 40,000 breweries.3 npm1MIT
- AlicenseAqualityDmaintenanceProvides AI assistants with access to Finland's Alko alcohol product catalog, enabling product search across 11,900+ items, store availability checks, Vivino ratings lookup, and personalized recommendations based on food pairings and preferences.914MIT
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: searching, fetching a bottle, finding similar or cheaper alternatives, personal recommendations, comparison, trending, and a mood-based pour suggestion. Even nearby functions like find_similar and find_cheaper_alternative are differentiated by their price constraint.
Most tools follow a verb_object or verb_adjective pattern like search_bottles, get_bottle, compare_bottles, and find_similar. trending_bottles and pour_tonight_suggestion break the imperative pattern slightly, but the naming is otherwise clear and predictable.
Eight tools is a well-scoped set for a spirits discovery and recommendation server. Each tool provides a meaningful capability without unnecessary overlap or bloat.
The tool set covers the primary workflows: browsing, searching, retrieving details, finding alternatives, comparing, getting personalized recommendations, and seeing popular picks. There are no obvious gaps for a read-only bottle discovery and recommendation domain.