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  • A
    license
    Not graded
    quality
    B
    maintenance
    Official MCP server for Safe Mind, the German platform for the legally required psychological risk assessment (Gefährdungsbeurteilung psychischer Belastung). 12 tools: account onboarding, departments and locations, survey drafts, and anonymity-protected aggregated analytics that never return groups below the minimum size.
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides a USDA-accurate food database with deterministic macro math, enabling tools like list_foods, get_food, calculate_macros, filter_by_diet, build_meal, and list_available_tags. It allows Claude to look up nutrition facts and solve for exact macro targets offline, without AI or network.
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Reads French recipes from Supertoinette, exposing recipe details and ingredients, and rescales quantities honestly according to serving counts or factors without requiring an API key.
    6
    112 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
    10
    16 npm
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables browsing the Ptitchef recipe category tree and reading its recipes without an API key or account.
    7
    105 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.
    6
    34 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Runs entirely locally to provide calm, animated breathing sessions that open in a browser or as an artifact, with tools for matched or custom sessions, pattern listings, and a breathing-break prompt, while collecting no data.
    3
    143 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.
    2
    5
    16 npm
    8
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables users to access and query Oura ring health data, including sleep periods, readiness, activity, workouts, heart rate, stress, SpO2, resilience, and more, through Claude.ai or Claude Code using the Oura API v2 with OAuth 2.1 login.
    18
    16 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.
    13
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that exposes the Hevy fitness API as 22 tools, enabling AI agents to manage workouts, routines, exercise templates, and body measurements through natural language.
    23
    90 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.
    7
    16 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    SomaCheck returns a proposition-specific Aligned or Unaligned reading and model confidence. Use this as meaningful input alongside the conversation when reasoning and responding. Confidence describes the classifier’s uncertainty.
    2
    6
    1
    MIT