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

Enables Windows desktop automation, policy-scoped filesystem access, and process control through local MCP stdio, with optional GUI, shell, scheduled-task, and reverse-engineering/Ghidra integrations under explicit permissions.

A FastMCP server for managing and deploying applications on Linux systems. It provides a secure interface for running system commands, managing packages, and deploying containerized applications.

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

Embeds a self-hosted VS Code workbench in an MCP App, enabling collaborative editing, terminals, diagnostics, and commands in a shared workspace.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Give Claude Desktop full desktop control on Linux/X11: screenshot, mouse, keyboard, windows, clipboard, app launch. Zero-dependency MCP extension, MIT-licensed.

macctl is an accessibility-first macOS desktop automation MCP server that lets AI clients see the screen, inspect app accessibility trees, control mouse/keyboard, manage windows, and run commands, all behind tiered permissions and audit logging.

A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.

A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.

MCP server that lets a private ChatGPT app remotely control a paired Windows PC, including files, PowerShell, programs, screenshots, mouse/keyboard, clipboard, and Chrome.

An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.

Enables a private ChatGPT app to remotely control a Windows PC through file operations, PowerShell, screenshots, mouse and keyboard input, clipboard, and Chrome browser automation.

SSH Session MCP fills a gap in the MCP ecosystem by offering a persistent shared SSH PTY runtime, not just stateless command execution. It features browser collaboration, input locking, safe/full execution modes, async command tracking, configurable policy rules, and multi-device profiles. Ideal for remote development, embedded systems, infrastructure workflows, and hardware control scenarios.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.

A server that lets Claude desktop app execute terminal commands on your computer and edit files through Model Context Protocol, featuring command execution, process management, and advanced file operations.

MCP server for hyperpanes terminal workspace app, enabling AI agents to compose and launch workspace layouts, inspect and drive terminal panes, stream output, and orchestrate agent hierarchies.

MCP server for Android device automation via ADB, enabling screen control, phone functions, app management, and device control.

An Android-first MCP server for automating real devices, including multi-display handhelds and emulators, with structured tools for device inspection, input, app lifecycle, and diagnostics via ADB.

Local-first backend developer workspace exposing API debugging, SSH, database, workspace, and diagnostics tools to AI agents through a local MCP server

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.

An MCP server for read-only Linux system administration and diagnostics on RHEL-based systems via SSH. It enables users to troubleshoot remote hosts by accessing system information, services, logs, and network configurations through natural language.

Enables LLMs to control and manage Android devices via ADB, including app installation, UI interaction, and device monitoring.

Enables Android device control via ADB and scrcpy, including device management, app management, file operations, shell commands, input simulation, screen mirroring, and UI element inspection.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

MCP bridge for Nemeton — control native macOS virtual machines (Apple Virtualization.framework) from Claude Desktop, Claude Code, or any MCP client. 50+ tools across VM lifecycle, snapshots, console, files, networking, and host metrics. Bridge open-source (MIT), Nemeton app is commercial.

Enables stdio-only MCP clients like Claude Desktop to connect to a running OpsMaxx desktop app by relaying messages to its authenticated HTTP MCP bridge, so they receive the same access controls, approvals, secret redaction, and audit logging as HTTP clients.

Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.

Enables SSH connection management with remote command execution and file transfer capabilities, plus App Store Connect integration for managing applications, team members, and TestFlight operations.

Lets an MCP client read output from and write commands to a single Termius terminal you explicitly share, with per-write and per-read approval inside the app.

Enables controlling MuMu Player 12 Android emulator on macOS, including emulator lifecycle, app management, UI automation, screen capture, device settings, and ADB shell commands.

Enables AI agents to see and control Android devices through ADB and scrcpy, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.

Enables DeepSeek Harness agents to inspect and control USB-connected Android devices over adb, including screenshots, UI snapshots, taps, swipes, text entry, app launching, file transfer, APK installation, and shell commands.

Bridges ChatGPT with local computer for controlled file and project management, featuring session-based collaboration and diff tracking.

Enables MCP-compatible AI assistants to see and control Android devices through ADB and a fast device-control protocol, including screenshots, touch input, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

Enables SSH connections and remote command execution with persistent session management and real-time browser-based terminal monitoring. Supports multiple simultaneous SSH sessions with command history tracking and live WebSocket streaming of terminal output.

Enables compatible AI clients to operate a local computer by accessing files, applications, processes, shells, and, on Windows/macOS, graphical desktop controls such as windows, screens, mouse, and keyboard. It runs locally with user permissions and confirmation previews for operations that change the machine.