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Related Servers

Alternatives to nutrients-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides intelligent access to the USDA nutrition database through AI assistants, enabling users to search foods, compare nutritional content, find foods high in specific nutrients, and query authoritative nutrition data across 7,146+ food items through natural language.
      1
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables nutrition tracking via AI, allowing users to read food logs with macros, goals, and profile, log meals by text or photo, and access diary, subscription, diabetes, and wearable/glucose data.
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
      6
      32 npm
      5
      ISC
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to analyze the nutrition of ingredients or recipe lines and to search recipe and food databases with optional diet, health, and cuisine filters.
      21 npm
      MIT

    TDQS

    A4/5.0

    Scored across 2 tools

    Disambiguation4/5

    Both tools analyze food and return similar nutritional data, but they are clearly distinguished by input type: one requires an image URL and the other a text name/description. The descriptions make this distinction explicit, so an agent should be able to select the correct tool without confusion.

    Naming Consistency5/5

    The tools follow a consistent verb_noun pattern: 'analyze_food' and 'analyze_food_image'. The naming is predictable and clearly indicates a shared core function with a specific modifier for the image variant.

    Tool Count3/5

    With only two tools, the server feels thin for the domain of nutritional analysis. While both tools are useful, the minimal count limits the server's overall utility and makes it borderline appropriate for its stated purpose.

    Completeness4/5

    The two tools cover the two primary input methods for analyzing a food item: image and text description. However, there are minor gaps, such as no batch analysis or retrieval of nutritional data by food ID, but the core workflow of analyzing a single food item is fully supported.

    Maintenance

    ActivityStale
    ResponsivenessNo issues