"Finding Information About Public Places" matching MCP servers:

Enables bounded agent authority over a macOS workstation via 63 MCP tools with policy, approval, and audit.

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.

Enables SSH connectivity and remote command execution on servers, allowing users to test connections and run commands remotely with support for both local networks and public servers.

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

Provides quick access to local system utilities including time/date, hostname, public IP, directory listings, Node.js version, and port usage through an MCP server interface compatible with Cursor and other MCP clients.

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.

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 MCP clients to connect to a local workspace over a public tunnel and lets them run shell commands and transfer files bidirectionally.

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 tiny public MCP server backed by an Envy-managed Modal sandbox that exposes a hello environment with standard sandbox tools like create_sandbox, bash, read, write, edit, and grep for ephemeral file and command execution.

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

Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.

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

Enables AI agents to diagnose Linux server incidents by collecting and structuring system diagnostics from multiple servers via SSH, with tools for finding incident clusters, gathering context (memory, CPU, swap, etc.), and running arbitrary commands.