"RISC-V" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables voice-controlled hardware to execute approved Mac actions (like opening apps and querying system status) through a secure MCP bridge.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.

MCP server enabling AI assistants to inspect and manage Python environments via uv, including package management, virtual environments, Python versions, tools, and security auditing.

Wraps the Amazon Q CLI to enable MCP hosts to interact with Amazon Q's AI capabilities for chat, command translation, and status checks.

Enables Claude AI to securely access files, run shell commands, and search through a Windows computer with explicit user permission.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

Enables AI agents to assess the risk of shell commands before execution, providing a probability of harm and a suggested action (auto, warn, or confirm).

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

Turns any CLI tool or REST API into an MCP server for Claude, enabling Claude to use git, databases, or any API through natural language.

A Model Context Protocol server for ROS 2, enabling AI assistants to introspect and interact with ROS 2 systems.

Provides secure, sandboxed terminal access for AI assistants via the Model Context Protocol, with multi-layer risk analysis and auditable command execution.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

MCP server enabling AI assistants to securely operate remote servers via persistent SSH sessions, with tools for command execution, file transfer, directory listing, and system monitoring.

Enables persistent terminal sessions across multiple shells (Bash, CMD, PowerShell, WSL) with incremental output reading and autonomous goal execution with acceptance criteria.

Enables AI agents to launch, monitor, and manage background shell jobs with durable event tracking, live progress dashboards, and wake-on-attention for interactive sessions.

Enables LLMs to manage Python environments and dependencies via uv, supporting package inspection, installation, and requirement management.

Enables users to tailor a one-page LaTeX CV to a job posting by fetching relevant facts from a YAML file, rendering a LaTeX document from id-based selections, and compiling it to PDF, without wasting tokens on repetitive CV reads or compiler logs.

Enables AI agents to control and automate Incus/QEMU virtual machines via SSH, supporting mouse/keyboard, screenshots, commands, and lifecycle management.