"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.

Lets coding agents manage apps in App Store Connect through workflow-level tools: shipping TestFlight builds, managing testers and groups, editing listings, replacing and reordering screenshots, handling subscriptions, replying to reviews, downloading sales reports, and submitting for App Review. It is read-only unless writes are explicitly enabled, and destructive actions run as dry runs until confirmed.

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.

Enables AI agents to work within a signed-in Jane App account, listing appointments, reading wait lists, and performing Jane App tasks through tools without requiring a Jane App API key.

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.

Enables AI agents to manage App Store Connect releases, metadata, TestFlight, screenshots, and customer reviews through Apple's official API.

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.

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.

A production-ready template for building MCP servers on Cloudflare Workers that expose tools with interactive React-based UI widgets, demonstrating anime search functionality using the Jikan API.

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.

an actor pulls Zillow listings enriched with agent/broker contact info, full price-history timelines, 20yr+ tax history, foreclosure/distress flags, schools, and the resoFacts long tail (heating/cooling/construction).

Creates new Expo React Native apps from a Feature-Sliced Design template and configures store deployment settings.

Enables users to upload Android .aab files to Google Play test tracks and iOS .ipa files to TestFlight, then promote or release them to production through fastlane. Also supports rollout updates, release status checks, and confirmation-gated publishing actions.

An MCP server to communicate with the App Store Connect API for iOS Developers

Enables interaction with Apple's App Store Connect API through natural language to manage apps, beta testing, localizations, analytics, sales reports, and CI/CD workflows for iOS and macOS development.

Enables use of the ChatGPT macOS app through the MCP protocol.

Provides a comprehensive suite of Google Calendar tools featuring 15 interactive UI screens for managing schedules, creating events, and visualizing availability directly within AI chat interfaces. It enables users to interact with their calendar through visual components like heatmaps, event forms, and multi-view calendar grids.

Enables AI agents to interact with the WYGIWYH expense tracking API through 75 dynamically generated MCP tools. Supports comprehensive financial operations including transaction management, account handling, recurring expenses, and investment tracking.

An MCP Server that enables interaction with Google's Data Labeling API, allowing users to manage datasets, annotations, and labeling tasks through natural language commands.

A production-ready template for building MCP servers on Cloudflare Workers that expose server-side tools with rich, interactive React-based UI widgets using the MCP Extensions Apps API.

Enables interaction with AWS Amplify Gen2 application data through natural language, allowing AI assistants to query, create, update, and delete records using conversational commands with Cognito authentication.

Gives Claude Code, Claude Desktop and Cursor access to Apple's full developer API surface — all 1,303 operations — so agents can manage app listings, builds and TestFlight testers, edit metadata and upload screenshots, handle pricing, in-app purchases and subscriptions, reply to customer reviews, and pull sales and finance reports. Includes searchable operation discovery, spec-validated calls, pagination, and read-only, write or full access modes with local key storage.

A Model Context Protocol (MCP) server that connects Cursor, Claude Desktop, and other MCP clients to the official App Store Connect API—so you can manage iOS/macOS apps, TestFlight, in-app subscriptions, and store metadata via chat or automated tool calls.

A Model Context Protocol (MCP) server for managing app publishing on Huawei AppGallery Connect. Integrates directly with Claude Desktop or any MCP-compatible client.

Provides an interactive user interface for asking questions with support for text inputs, single/multi-select options, and confirmation dialogs. It allows LLMs to gather structured input or feedback from users through a set of predefined input types.