"Logseq - A Knowledge Management and Note-Taking App" matching MCP servers:

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.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

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

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.

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.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

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.

MCP server for running shell commands on a Linux development board via UART serial.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.

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

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

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.

A Model Context Protocol server for secure local system operations, enabling shell command execution and file management via a standardized interface.

A secure remote server management tool based on MCP protocol, supporting SSH connections, command execution, and SFTP file transfers.