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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
    3,965 npm
    539
    MIT
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    Access your Hevy workout data through natural language. Query workout history, exercise details, routines, and track progress.
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    A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.
    22
    2
    MIT
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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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    MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.
    25
    3,965 npm
    MIT
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    MCP server for the Hevy workout tracker API that allows reading and writing workouts, routines, exercise templates, and body measurements.
    22
    11 npm
    1
    MIT
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    Enables Claude/Lyra to create, monitor, and manage live sessions for long-running operations such as downloads, conversions, and agent jobs, with progress metrics, logs, error alerts, and a Textual dashboard; it also ingests updates from external media-server tools.
    12
    161 PyPI
    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
    3,965 npm
    MIT
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    Provides guarded access to the official Hevy fitness API, enabling users to list workouts and routines, search exercise templates, review exercise history, and create routines or workouts with explicit confirmation for writes.
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    A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.
    4
    MIT
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    A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.
    27
    10 npm
    MIT
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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
    1
    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
    71 npm
    MIT
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    Enables creating and managing COROS strength, running, and cycling workouts via the Training Hub API, including calendar management, weekly planning, validation, backups, and training analytics.
    56
    MIT
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    Enables access to Hevy strength-training data—workouts, routines, exercise history, and progression—via an MCP server with per-user credential encryption and optional write support.
    16
    Apache 2.0
  • F
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    Enables local read-only access to TheRundown Product API data including sports, affiliates, market definitions, events, futures, and open main lines using your own API key.
    6
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    Live Apple App Store and Google Play data as MCP tools: app details, reviews, keyword search, top charts and categories across 175+ country storefronts. Requires a RapidAPI key.
    5
    83 npm
    MIT
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    MCP server for looking up apps, reviews, ratings, charts, in-app purchases, privacy details, and version history on Apple's App Store. It requires no API key.
    11
    10 npm
    1
    MIT
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    Enables Claude to read and manage App Store listings, builds, TestFlight testers, localized store texts, screenshots, and customer reviews through Apple's official App Store Connect API, with read-only access by default and explicit approval for each change.
    3
    MIT
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    Enables MCP-compatible AI clients to interpret the init-app CLI, explore its supported blueprints, and translate natural-language project requirements into validated command arguments without executing the CLI.
    4
    1
    MIT
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    Enables MCP clients to start new Codex conversations and continue existing threads, exposing codex and codex-reply tools over stdio via the Codex app-server protocol.
    2
    MIT
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    Connects AI assistants to local workspaces for searching and reading notes, documents, objectives, and media assets, even offline. When the workspace app is open, it enables secure real-time creation and editing of notes, documents, objectives, and canvas highlighting.
    21
    24 npm
    MIT
  • F
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    Enables AI agents to build and edit MIT App Inventor projects as .aia files, supporting screens, components, properties, blocks, assets, and project merging.
    10
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    Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.
    21
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    Drives a running FigCraft desktop app through its local control channel, letting MCP clients inspect and edit documents, run menu-level commands, and capture screenshots with live UI feedback. It also exposes a Figma-compatible tool surface so existing Figma workflows and prompts can drive FigCraft unchanged.
    24
    GPL 3.0
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    Exposes the 个人管家 app's purchasing, expense, todo, project, budget, and analytics data as MCP tools so agents can read and manage records through the app's authenticated business APIs. Each installation logs in with its own account, stores credentials locally, and supports per-install revocation.
    27
    MIT