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Calorie Tracker MCP

by Yani3rt
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Python

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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

    A3.5/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct operation on meals, goals, or summaries. get_meal/get_meal_history/list_meals are differentiated by single-item, revision-history, and filtered-list purposes. Update/delete/restore are clearly distinct state-transition actions with unique semantics.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case pattern (get_, set_, list_, log_, update_, delete_, restore_, export_, log_). Verbs are apt and descriptive, and the pattern is uniform throughout with no stylistic mixing.

    Tool Count5/5

    Eleven tools is well within the ideal 3-15 range for a calorie tracker domain. Each tool earns its place: core CRUD (log/get/list/update/delete/restore), goals management, history, summary reporting, and export capabilities. No redundancy or bloat.

    Completeness4/5

    The surface covers the full meal lifecycle (log, read, list, update, delete, restore), goals get/set, history, summary, and export—a thorough set. Minor gaps exist, such as no bulk-delete or goal-archival/cleanup operations, but agents can accomplish all core workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources