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"Command Line Interface (CLI) for CMD" matching MCP servers:

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    Evidence-based supplement intelligence in your terminal, exposed as an MCP server for AI agents to research, compare, stack, and manage supplements.
    91
    MIT
  • F
    license
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    quality
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    Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.
    6
    1
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    Enables reserving, canceling, and listing fitness classes on AimHarder through natural language, with support for multiple boxes and waitlists.
    5
    MIT
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    An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.
    8
    BSD Zero Clause
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    A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.
    12
    16
    MIT
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    quality
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    MCP server integrating Foodvisor nutrition API for food search, meal logging, daily summaries, and progress tracking via LLM agents like Claude.
    MIT
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    quality
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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.
    25
    MIT
  • A
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    MCP server for Hevy that fetches live workout data and computes analytics like e1RM, PRs, volume, and consistency, while enabling writes for routines, folders, and body measurements without modifying workout history.
    71
    1
    MIT
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    Unofficial MCP server for Hevy that lets AI assistants design training programs, create routines directly in your Hevy account, and analyze logged workouts.
    11,534
    MIT
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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.
    MIT