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    Provides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.
    Last updated
    6
    1
    MIT
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    An AI-powered running coach that connects Claude to your Strava data, providing personalized training plans, progress tracking, and coaching feedback through a web dashboard.
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    32
    10
    MIT
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    A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).
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    MIT
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    Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance metrics. It enables users to analyze training progress, compare workouts, and retrieve specific segment details through natural language queries.
    Last updated
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    ISC
  • A
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    Provides raw Garmin Connect data access for training analysis, enabling retrieval of activity summaries, lap data, time-series streams, comments with lactate, wellness metrics, and personal records through an MCP interface.
    Last updated
    MIT
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    A Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.
    Last updated
    MIT
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    Exposes the complete Oura Ring v2 API to LLM agents, including detailed sleep data, time-series biometrics, hypnogram rendering, and analytical tools, unlike other MCPs that only provide daily scores.
    Last updated
    MIT
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    Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.
    Last updated
    1
    MIT
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    Strength-training app Claude can write to: reads real workout history (planned vs actual) and writes planned workouts back into the Tally iOS app. First-party hosted remote MCP server secured with OAuth 2.1 (PKCE + dynamic client registration).
    Last updated
    MIT
  • F
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    quality
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    Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web
    Last updated