"Information on Becoming a Project Manager" matching MCP servers:

MCP server for managing SSH tunnels and remote hosts, offering tools for host inventory, file operations, security scanning, and SSH configuration.

AI-powered PC management system with 80+ MCP tools for Cursor, Claude, and other AI agents.

Enables AI agents to manage system updates, application installations, and remote host orchestration through MCP tools.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Enables MCP clients to execute commands, edit files, run Git workflows, and perform validated independent reviews in real development environments through Docker-based runtimes with separated developer and auditor permissions.

MCP server for managing remote servers via SSH, enabling command execution, file transfer, rsync, tunnels, health checks, backups, and database operations.

Enables Claude to manage multiple SSH connections, execute remote commands, and transfer files across servers. Supports secure authentication, default directories, sudo operations, and deployment automation with profiles for different project types.

Enables MCP clients such as ChatGPT and Claude to administer Linux or macOS hosts through authenticated Streamable HTTP, including running shell commands, reading and writing files within a workspace, listing directories, and retrieving system metrics.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

MCP server that enables AI models to open the Windows Notepad application via function calling, demonstrating the complete MCP tool call workflow.

Python venv runtime for AI agents. MCP server exposing list/create/describe/install/run/exec/snapshot/rollback/scan as typed tools

A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.

Enables AI agents to create and control persistent terminal sessions, run and monitor asynchronous jobs, page through ordered event history, and resolve registered device connection details without exposing stored secrets. Exposes 15 MCP tools over stdio that mirror a REST API, keeping session state alive independently of the agent that started it.

Enables executing terminal commands and managing files across different contexts: local system, remote SSH servers, and GitHub repositories. Provides comprehensive file operations, directory navigation, and multi-environment command execution capabilities.

Enables LLMs to control a Linux server via multiple shell windows with background execution, notes, and sudo separation, allowing natural-language-driven system management and command execution.

Enables LLMs to securely manage Virtual Private Servers via SSH, with features including command execution, file operations, system monitoring, and service management.

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

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.

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

A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.