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    Enables an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.
    38
    250 PyPI
    1
    MIT
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    quality
    B
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    Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.
    13
    MIT
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    Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.
    9
    30
    Apache 2.0
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    Enables Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.
    23
    153 npm
    MIT
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    quality
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    Healthcare billing AI for agents — 12 tools for ICD-10/CPT/HCPCS code lookup (80K+ codes), prior auth prediction, medical NER, claims validation, HIPAA compliance auditing, and provider/drug enrichment. Pay-per-call via credits or USDC.
    32
    557 npm
    3
    MIT
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    quality
    B
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    Exposes availability and appointment-proposal tools over stdio so an MCP client can query open slots and suggest bookings, without being able to create them—actual booking requires human confirmation through the separate UI/API. Slot claims are transactional and idempotent, and cancellation only releases a slot still owned by that booking.
    2
    MIT
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    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
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    Enables Claude to read recent Garmin training and wellness data through intervals.icu, then create, update, list, and delete structured planned workouts that sync back to Garmin Connect and a Garmin watch.
    MIT
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    C
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    Enables Claude to read recent Garmin training activities and wellness metrics and to create, update, or delete structured planned workouts through intervals.icu, which syncs them to Garmin Connect and the user's watch. It provides tools for reviewing recovery signals, listing upcoming calendar events, and pushing AI-designed sessions to the watch without exposing Garmin credentials.
    MIT
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    Enables Claude to read recent Garmin training and wellness data through intervals.icu and to create, update, or delete structured workouts that sync to a Garmin watch.
    MIT
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    Gives Claude read-only access to your own ring's health data — sleep, readiness, HRV, heart rate, activity, workouts, stress, resilience, SpO2, VO2 max and cardiovascular age — from claude.ai, desktop, and mobile. Runs as a private remote server on your own Cloudflare Worker, locked to a single account with OAuth-encrypted tokens and no stored health data.
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables Claude to read recent activities and wellness metrics (sleep, HRV, resting heart rate) and to create, update, or delete structured workouts pushed to an intervals.icu calendar that syncs to Garmin Connect and the user's watch.
    MIT
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    Enables natural-language household planning by exposing 18 stateful tools that read a household profile and pantry, fetch live weather, plan meals under diet, allergy, time, and budget constraints, compute missing ingredients, and draft shopping lists and tasks — all pending explicit confirmation before any mutation is applied. Supports a full auditable workflow with real persistence, honest fallback behavior, and optional advisory AI and snapshot mirroring.
    MIT