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    Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.
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    Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.
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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.
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    Enables AI assistants to access and analyze intervals.icu training data including activities, fitness metrics (CTL/ATL/TSB), wellness stats, and calendar events. Supports natural language querying of athletic performance for training insights and workout planning.
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    It's a safety middleware that can detect and intercept self-harm and criminal intent at 3 stages. It allows developers of chat-based platforms to configure webhook notifications and store encrypted information for prior mitigation of any such cases.
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    Apache 2.0
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    Enables AI assistants to query glucose data from health storage APIs, providing natural language access to glucose readings, trends, and statistics for diabetes management and health monitoring.
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    Enables querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.
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    Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.
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    MacroFactor MCP is a local Fueling & Recovery Decision Engine. Give your MCP client a MacroFactor export, optionally add Garmin, and ask for a decision instead of manually comparing nutrition, sleep, body, and training screens.
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