"Information about guardrails" matching MCP servers:

Enables agentic coding clients to enforce portable policy guardrails by evaluating proposed shell, file write, git, and network actions and returning allow, deny, or ask decisions.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.

A FastMCP-based tool for monitoring server statistics that retrieves CPU, memory, and uptime information from both local and remote servers via SSH.

An educational MCP server exposing shell command execution (PowerShell and sh) and a benign tool for learning about MCP tools, resources, and security risks like tool poisoning.

Manage a fleet of OPNsense firewalls from an AI agent, inside guardrails it can't drive around. MCP server for central management of OPNsense firewall fleets. 129 tools across devices, config sync, tasks, schedules, templates, backups and remote consoles - destructive actions confirmation-gated, MCP-issued tokens lifetime-bounded, backup and storage secrets excluded from the toolset entirely.

A comprehensive MCP server that enables file operations, mathematical calculations with unit conversions, and system information retrieval. Provides secure access to local file system, calculator functions with statistics, and system monitoring capabilities.

Enables AI assistants to manage SLURM cluster jobs with safety guardrails, including file transfer, job submission, log reading, and remote command execution.

A secure protocol server that allows AI assistants to safely interact with Ubuntu systems through controlled file operations, command execution, package management, and system information retrieval.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

An MCP server that executes shell commands and intelligently compresses, filters, and extracts errors from verbose output to save AI agent context windows. It strips ANSI, collapses repetitive lines, and always preserves error information.

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

Enables remote control of a Windows machine through a Node.js agent, providing filesystem operations, PowerShell execution, and system information access via MCP.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Enables AI agents to manage remote servers via SSH, including command execution, multi-host batch operations, SFTP file transfer, background job handling, DevOps diagnostics, port tunneling, and safety guardrails like high-risk command blocking and read-only mode.

Connects LLMs to a Kali Linux host over SSH for authorized penetration testing, exposing tools organized by pentest phases (recon, enumeration, exploitation) with scope guardrails.

Runtime safety guardrails for AI coding agents. Checks file access, validates shell commands, and scores your repo's AI safety — all via MCP.

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 Claude Desktop or other MCP clients to execute shell commands, read/write files, and list directories on the local machine. Includes basic safety guardrails to block obviously destructive operations.