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"Supabase integration with Gmail" matching MCP servers:

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    Enables reserving, canceling, and listing fitness classes on AimHarder through natural language, with support for multiple boxes and waitlists.
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    MIT
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    Provides BBQ cooking guidance with live ThermoWorks Cloud integration for real-time temperature monitoring, stall detection, cook time estimation, and expert recommendations for 20+ proteins across various cooking methods.
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    MCP server for JournalOwl that enables AI-powered journaling integration, allowing users to create, search, and browse journal entries, access weekly reviews, and get personalized suggestions directly from their AI assistant.
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    Apple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.
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    MIT
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    A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.
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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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    Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.
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    A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.
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    A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
    MIT
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    Enables AI-driven weekly meal planning with structured recipes, cooking steps, and grocery lists.
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    An MCP server that securely syncs and queries your health data from Apple Health, storing it in your own Supabase Postgres database and exposing tools for AI assistants to retrieve weight, calories, macros, and more.
    16
    MIT
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    MCP server for meal planning and grocery list generation, enabling recipe storage, meal plan creation, and automated grocery lists with ignored ingredients.
    2
    MIT