"Accessing Hevy workout tracking app data" matching MCP servers:

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).

An MCP server that connects AI clients to the Hevy workout tracking app, allowing users to manage routines and exercises. It enables reading workout history and logging new fitness sessions through simple natural language commands.

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.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

An MCP server that translates human GUI actions into machine-executable commands, enabling AI agents to control real software applications like Zoom, Excel, and WeChat via natural language or API calls.

Framework for building and running MCP servers as HTTP services. Define tools as pure Python functions, wire up with two lines, run with one command.

Free App Store competitive intelligence for Claude — rival downloads, revenue, and ASO keywords. MCP server, no subscription.

This MCP server allows users to create, manage, and serve web applications through Goose, storing apps in configurable directories and providing web app serving capabilities.

An MCP server for reliable iOS Simulator automation that enables agents to control devices, read accessibility UI trees, and capture screenshots. It supports deterministic grounded actions like tapping, typing, and swiping to create a closed-loop observe-reason-act cycle.

Unified MCP server for App Store Connect & Google Play Console — manage listings, screenshots, releases, reviews & submissions

Enables interaction with the Senzii scheduling app, allowing users to manage schedules, sessions, and related data through natural language.

MCP server that brings interactive UIs for Yida low-code platform into AI chat conversations, enabling app management, form schema preview, and report chart visualization.

An MCP server featuring an interactive React UI for Garmin Connect integration. It allows users to access and interact with Garmin fitness and health data through the Model Context Protocol.

Enables AI agents to manage Apple App Store Connect through the official API, including apps, metadata, reviews, TestFlight, provisioning, users, and reports.

Enables HR to onboard new hires by copying position templates into personalized roadmaps with working-day deadlines, tracking task completion, and automatically finalizing records when all tasks are done.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Central daemon for managing local app processes, enabling multiple Claude Code sessions to coordinate starts, stops, and restarts with conflict resolution and a web dashboard.

Enables Claude to render interactive, real-time spreadsheets with streaming cell updates, custom styling, and resizable columns. This server allows users to visualize complex data sets through a dynamic grid interface directly within the model's response.

A fast MCP server for opening, focusing, and quitting macOS apps, and opening URLs in the browser, usable by voice or from any MCP client.

Enables AI agents to manage local Google Chrome profiles on Windows — listing, creating, launching, organizing, and syncing profiles with proxies, notes, tags, and value sets, while keeping cookies and irreversible deletion out of reach.