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    Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.
    4
    2 npm
    2
    MIT
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    Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.
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    3 npm
    MIT
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    Enables an LLM to search a movement library, log single-movement and multi-movement workout results, and pull complete logged training history plus PR trends for Beyond the Whiteboard straight from a chat. All logged entries are posted privately, and session authentication can refresh automatically.
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    MIT
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    An MCP server wrapper for the Meiso Gambare API that allows users to log and track behavioral sessions such as meditation, focus, and exercise. It automates timestamp recording and duration calculations while providing tools for session management and activity statistics.
    7
    MIT
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    Enables Claude to manage MyFitnessPal food diaries, nutrition goals, exercises, body measurements, and water intake via a remote MCP server using session cookie authentication.
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    MCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.
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    25 npm
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    Enables reading and writing MyFitnessPal data—including food diary entries, custom foods, saved meals, recipes, exercise, measurements, water, and nutrition goals—through 33 MCP tools using your existing browser session for authentication.
    33
    MIT
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    Lets Claude read and manage Speediance Gym Monster training data — session history, per-set logs, exercise progress, rowing and heart-rate stats, custom workouts and schedule — plus a coaching memory of goals, injuries and preferences. It runs self-hosted on the user's own machine, talking directly to the user's account and keeping stored data local.
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    MIT
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    MCP server that provides local caching, sync, and tools for Zepp Life health data including steps, sleep, heart rate, workouts, and body measurements, supporting both file exports and cloud session access.
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    MIT
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    Enables authenticated owners to capture, review, correct, and export bodyweight and strength-training data through a ChatGPT interface, including bounded multi-image/multi-session batch review, typed metrics with explicit provenance, pending drafts requiring guarded confirmation, and reversible deletion.
    MIT
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    Enables an agent to run multi-turn, multi-rung senior wellness escalations over Streamable HTTP — opening or resuming an incident, issuing fail-closed check-in prompts, advancing or standing down rungs, notifying caretakers, and requesting a simulated call. Session state is keyed by household and incident, so each tool call returns a snapshot that carries one memory across turns rather than isolated requests.
    MIT
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    MCP server that lets AI assistants query your Halaxy practice-management data—appointments, invoices, referrals, and practitioners—via natural language, exposing read-only tools for daily schedules, billing status, and session limits.
    GPL 3.0