"Qase - Test case management platform" matching MCP servers:

Desktop UI automation for AI agents: screenshots, window management, mouse, keyboard, UI Automation tree, OCR. Single Windows x64 binary, no dependencies.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables management of Azure Cloud PCs using the Microsoft Graph API, allowing users to list available Cloud PCs in their tenant through Claude Desktop.

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

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 automate local software management workflows including installation, uninstallation, updates, and environment recommendations. It provides a standardized, non-interactive interface for managing system applications and tracking software versions safely.

Enables AI agents to manage processes via structured MCP tools, reducing token usage by 75-80% compared to shell commands.

Sends periodic system notifications to remind users to take breaks and move around, with customizable intervals, messages, and cross-platform notification support.

An MCP server that connects AI assistants to the NinjaOne remote monitoring and management platform via the REST API v2. It provides tools for device inventory, organization management, alert handling, maintenance scheduling, and automated job execution.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.

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.

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

Enables interaction with Foreman infrastructure management platform through MCP tools, prompts, and resources. Supports querying host information, security updates, and accessing Foreman data via natural language.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

A high-performance, cross-platform MCP server for split-screen window management on Windows and macOS, providing 16 window manipulation tools.

Legacy MCP server for console automation that preserves interactive sessions, a 40-tool command/test surface, and legacy protocol adapters for local/remote execution. Intended only for migrations to RunBeacon 3.0.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

MCP server for Clash Verge Rev that lets AI agents control your proxy — switch nodes, change modes, reload config, test latency — directly from conversation.