"Using AI to Manage My Server" matching MCP servers:

Enables AI tools to manage SSH connections, execute commands, transfer files, and perform remote server diagnostics via MCP protocol.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

An MCP server for managing Ubuntu/Linux systems, enabling AI assistants to execute commands, manage services, files, logs, and packages via local or SSH connection.

A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.

This read-only MCP Server allows you to connect to SAP Sybase data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SAP Sybase (https://www.cdata.com/drivers/sybase/download/mcp).

A server that exposes Pi-hole functionality as tools for AI assistants, allowing them to retrieve local DNS settings and query history through natural language.

Enables AI agents to manage and interact with Kasm Workspaces containerized desktop infrastructure, providing tools for session management, command execution, file operations, and user management via the Model Context Protocol.

A security-first MCP server that gives AI assistants controlled, safe access to manage remote servers via SSH with whitelisted operations and no generic command execution.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

A lightweight FastAPI server that allows remote execution of shell commands on Windows, with real-time output streaming and security features like API key authentication and rate limiting.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

Enables AI assistants to manage Docker/Podman deployments through Komodo, supporting container management, server orchestration, and infrastructure control via natural language.

An MCP server for integrating AI models with client applications, allowing for structured interactions with APIs using command-line arguments for authentication and configuration.

Provides file system operations (read, search, list) and time queries, enabling Claude to interact with files and get time in any timezone.

An MCP server for XUI.ONE IPTV panels that covers four layers (server provisioning, admin API, reseller API, and player API), enabling an assistant to manage IPTV infrastructure from bare server to working panel.

Enables AI assistants to securely execute commands, transfer files, and manage port forwarding on remote servers via SSH.

Enables AI agents to securely manage and execute commands on remote Windows servers via WinRM, including PowerShell execution, system information retrieval, and service management.

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

Enables AI agents to interact with Cisco IOS-XE network devices over SSH using structured tools. Provides read and write capabilities for network management with built-in validation and security.