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percolate-mcp

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    TDQS

    A3.9/5.0

    Scored across 8 tools

    Disambiguation3/5

    Most tools are distinct, but what_to_brew, get_recommendations, find_similar, and trending_coffees all exist to surface coffee suggestions with different inputs. An agent looking for 'a recommendation' could plausibly select the wrong one if it doesn't carefully parse the trigger context.

    Naming Consistency4/5

    The majority of tools follow a clean verb_noun snake_case pattern like search_coffees, get_coffee, and compare_coffees. Minor deviations such as what_to_brew and trending_coffees break the pattern slightly, but the overall naming remains predictable and readable.

    Tool Count5/5

    Eight tools are well-scoped for a specialty coffee discovery and brewing guidance domain. Each tool serves a clearly useful purpose, and the count feels complete without being bloated or thin.

    Completeness4/5

    The server covers the full coffee exploration journey: search, detailed lookup, comparison, similar coffees, personalized recommendations, trending picks, and dial-in brewing advice. Minor gaps exist around explicit catalog facets or lightweight list/browse operations, but agents can work around those with search filters.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues