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taco-br-mcp

by ianhudsonai
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool has a clearly separate role: search, single-food composition, meal summation, comparison, unit conversion, fatty acids, amino acids, and health check. The only mild overlap is between get_nutrients ('full composition') and the specialized get_fatty_acids/get_amino_acids tools, but descriptions clarify that the specialized ones expose individual acids and coverage limits.

    Naming Consistency4/5

    Names are consistently snake_case and mostly verb_noun (search_food, get_nutrients, calc_meal, compare_foods, convert_household_measure, get_fatty_acids, get_amino_acids). The lone outlier is 'ping', which is a conventional health-check name but breaks the verb_noun pattern.

    Tool Count5/5

    Eight tools is well-scoped for a food-composition server: lookup, detail, aggregation, comparison, conversion, two specialized nutrient profiles, and a health check. Every tool earns its place with no obvious filler.

    Completeness4/5

    The core lifecycle (search → inspect → convert measure → sum/compare) is fully covered, and the specialized profiles plus explicit missing-data semantics are thoughtful. Minor gaps exist: no way to browse/list all foods or categories, and no nutrient-metadata or multi-food bulk export operation.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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