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    An MCP server for internal data platforms that enables search, viewing, tracing, and read-only querying of business assets like dashboards, metrics, and events.
    8
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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).
    23
    79,651 npm
    483
    MIT
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    MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.
    25
    79,651 npm
    MIT
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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.
    22 npm
    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.
    79,651 npm
    MIT
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    Enables AI assistants to read, analyze, create, and update Hevy workout data, including workouts, routines, exercises, and body measurements, through the Model Context Protocol.
    79,651 npm
    MIT
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    Enables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.
    14 npm
    MIT
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    Enables Claude to design strength workouts and push them directly to COROS watches via the Training Hub API. It supports searching an exercise catalog, creating workout routines, and listing existing workouts.
    27
    MIT
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    Exposes the Hevy workout API to Claude, enabling users to manage workouts, routines, exercise templates, body measurements, and user info via natural language.
    79,651 npm
    MIT
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    MCP server for the Hevy workout tracker that enables users to query training history, log workouts, and manage routines via natural language.
    MIT
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    MCP server that connects Claude to the Hevy fitness app, enabling AI-driven personalized strength coaching by reading lifting history and programming workouts.
    MIT
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    Enables Claude to read Hevy training data—workouts, routines, exercise templates, and history—and create or update routines through a self-hosted custom connector.
    79,651 npm
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    Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.
    7
    MIT
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    An MCP server that exposes the Hevy fitness API as 22 tools, enabling AI agents to manage workouts, routines, exercise templates, and body measurements through natural language.
    23
    90 npm
    MIT
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    An MCP server that interfaces with the Hevy fitness tracking API, enabling AI assistants to manage workouts, routines, exercise templates, and more via natural language.
    26
    79,651 npm
    MIT