"Campaign Monitor" matching MCP servers:

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.

Enables AI assistants to securely execute remote SSH commands, perform file transfers, and monitor system status through a standardized interface. It features robust security controls including command whitelisting, blacklisting, and credential isolation to prevent unauthorized operations.

An SSH MCP server that enables users to connect to and manage remote servers directly from Claude Code. It provides tools to execute commands, monitor connection status, and dynamically manage server configurations through natural language.

An advanced SSH session manager that allows Claude to establish and manage multiple SSH connections, execute remote commands, and monitor connection health through the Model Context Protocol.

Enables Claude Desktop to monitor and control your computer system with 90+ real-time tools covering CPU, RAM, GPU, disk, network, processes, and more, plus extensions for file management, code editing, and web research.

Enables AI assistants to monitor and securely manage AsusWRT and AsusWRT-Merlin routers via SSH with allowlisted commands, supporting read-only monitoring and controlled mutations.

Whistle MCP Server is a Whistle proxy management tool based on the Model Context Protocol (MCP) protocol, which enables AI assistants to directly operate and control local Whistle proxy servers. Through this tool, AI can help users manage rules, groups, values, monitor network requests, and replay a

An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test watchers.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

An MCP server that enables AI assistants to manage, monitor, and diagnose Windows systems through 42 tools across 8 modules, including services, event viewer, task scheduler, processes, network, diagnostics, observability, and safety features.

A lightweight, cross-platform MCP server for managing background processes. Enables AI coding agents to spawn, monitor, and interact with long-lived processes.

Enables AI agents to securely spawn, monitor, and control terminal sessions in Herdr, supporting background execution and authenticated access.

Enables AI agents to monitor system resources and control media, brightness, volume, and other Windows PC functions through natural language commands.

A read-only MCP server for Kubernetes that allows querying cluster information and diagnosing issues through natural language interfaces like Claude.

A powerful, lightweight Model Context Protocol (MCP) server built in Python that enables Artificial Intelligence assistants (Claude Desktop, Cursor, Antigravity, Claude Code, etc.) to manage and monitor your Proxmox VE cluster using natural language.

Enables LLMs to start, stop, and monitor long-running command-line processes in the background.

Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.

A comprehensive MCP server that provides system troubleshooting and diagnostic tools, enabling LLMs to diagnose system issues, monitor resources, check logs, and test connectivity.

Allows external tools (VSCode, Claude Code, etc.) to access log output and errors, execute commands asynchronously, and monitor process status.

Provides tools for executing shell commands both synchronously and asynchronously with real-time output streaming and process management capabilities. It enables users to start background tasks, monitor progress, and manage long-running processes via Stdio or HTTP transports.