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Glama

Related Servers

Alternatives to walk-kcal

No user-submitted related servers found.

    Related Servers

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      quality
      B
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    • A
      license
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      C
      maintenance
      Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.
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      quality
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      Provides a local-first Chinese dietary coaching server that reviews meals, recomputes nutrition from bundled food data, and manages user profiles and meal history in a private local SQLite database.
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    • A
      license
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      Enables AI agents to search restaurants, publish and maintain store data, submit verified freshness feedback, and query demand or updates through MCP tools. It provides both read-only and full administrative endpoints backed by open restaurant data.
      1
      AGPL 3.0
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      A calorie tracking MCP server that processes food photos and text descriptions to automatically log nutrition data to Google Sheets. Integrates with Apple Health for fitness metrics and provides SMS interface for convenient meal logging.
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    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation3/5

    walk_allowance and explain_concept are clearly distinct, but nearby_food and what_can_i_eat overlap significantly for general 'what can I eat' queries. Descriptions try to separate them by context (nearby vs. within allowance), but the boundary remains fuzzy and could lead to misselection.

    Naming Consistency3/5

    All tool names use snake_case, but the naming patterns are mixed: walk_allowance (noun phrase), nearby_food (adjective_noun), what_can_i_eat (question phrase), and explain_concept (verb_noun). This inconsistency makes the set less predictable despite being readable.

    Tool Count5/5

    Four tools cover the core decision support loop: calculate allowance, discover nearby food, filter by allowance, and explain concepts. Each tool earns its place with no redundancy, and the count is well-suited to the server's narrow purpose.

    Completeness4/5

    The surface covers the main workflow: compute allowance, find nearby options, select within allowance, and educate on concepts. Minor gaps exist, such as no tool for detailed nutrition per dish or user preference tracking, but the core decision-making loop is complete.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing