"Arch Linux" matching MCP servers:

Let an AI agent read, write and scan the memory of running processes on Windows, Linux and macOS, Cheat Engine style: value scans, refinement and pointer chains.

Enables AI assistants to manage remote servers via SSH with 43 specialized tools for command execution, file editing, directory operations, and background tasks across Linux, macOS, and Windows.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

A small native HTTP client whose MCP server (plunger mcp) lets an AI agent send requests safely: undefined variables are refused, secrets are filled in by name and masked in results, and every request is recorded in a history you can see in the window. MIT licensed, for Windows, with a Linux build of the CLI and MCP server.

Enables MCP clients such as Claude Code, Codex, Cursor and Gemini CLI to control a Mac, Windows or Linux desktop by clicking, typing and reading real applications that have no API, using the accessibility tree rather than pixel guessing. It also lets agents replay saved tasks as skills without spending tokens and can type stored passwords into fields without exposing their values.

Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.

Gives your AI assistant your career history: it saves and scores job postings, tailors a resume to each one from things you actually did, renders the PDF, and tracks your applications. Runs on your own computer with Maestro Career Studio, which installs with two commands on macOS, Linux and Windows.

Cloud Linux desktops for AI agents. Create a computer, see its screen through screenshots, and drive it with click, type, drag and keys, or hand off a whole task with run_agent. Also hosted with OAuth at https://app.mandala.computer/mcp.

Connects MCP-compatible AI clients to an explicitly authorized Windows, macOS, or Linux computer for controlled Machine, Browser, and Desktop execution, including files, shell commands, native apps, and local browser sessions. Also offers a separate hosted Cloud Browser for browser tasks that should run outside the user's own workstation.

Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.

Gives MCP clients a small remote Streamable HTTP tool surface for a Brain memory database, letting agents store facts, retrieve current-truth answers with evidence, delete memories, and check their effective identity. Each call is scoped by a customer identifier for per-customer isolation, and the endpoint can optionally be secured as an OAuth 2.1 resource server.

Linux sandboxes for AI agents, each a Firecracker microVM. Run code, keep files, pause and wake with memory kept, snapshot and fork.

Persistent Linux environments for AI agents, with interactive terminals, input-wait event feedback, background tasks, file transfers, and HTTPS previews. Connect through a local stdio MCP server. Requires an agend account; bring your own agent and model.

Enables LLMs to query and analyze government website analytics from analytics.usa.gov via the Model Context Protocol, supporting single report, multiple reports, and aggregation tools.

Servagent is an MCP server that enables a remote AI to take full control of a Linux server: command execution, file management, service administration, and more.

Turns your own VPS into an agent's remote computer, exposing shell and code execution, persistent workspace files, Bash PTYs, a Chromium browser, notes, scheduled tasks, and a streamed Linux desktop over MCP. Clients such as Claude Code or Codex can also use an authenticated REST API, CLI, and web console to drive the same shared workspace.

Enables spawning ephemeral Linux sandbox containers using Docker and executing commands through an interactive TTY interface. Supports collaborative terminal sessions where both AI clients and humans can simultaneously interact with the same container.

Serves an offline knowledge base — an aggregated corpus of reference works plus a RAG index over them and the user's own documents — to any local AI model over MCP. Enables offline assistants such as Open WebUI, OpenCode, or Jan to ground answers in searchable, provenance-tracked local content without any network connection.

Enables a computer-use agent to see and drive one isolated, sandboxed Linux desktop by exposing Anthropic's computer toolset actions alongside launching apps and listing windows, with screenshots scaled to a 1280-pixel longest side. It runs as a stdio MCP server scoped to a single screen and authenticated by an agent token.

A thin, deterministic MCP hub for SAP BTP that routes connections to multiple SAP systems behind one login, preserving per-user identity.