"Linux Mint" matching MCP servers:

Clones the OpenCode workbench installation onto Linux machines — locally or over SSH — reproducing the same OpenCode config, MCP servers, agent skills, plugins, and Docker tooling. Exposes 6 tools over stdio.

Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical

Enables LLMs to capture desktop screenshots and control the mouse and keyboard on Linux, including Wayland, through MCP.

Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.

Enables parallel agent tasks on disposable Arch Linux drones by providing a local stdio gateway for batch job submission, status monitoring, log retrieval, artifact fetching, and cancellation across SSH-connected runners.

Native webview browser automation for AI agents. Rust-powered, with JSON-lines control and a built-in MCP server. Runs on macOS, Linux, and Windows.

Enables ChatGPT to securely control a local workstation via an MCP tunnel, exposing 44 tools for file/project editing, git, process supervision, browser automation, and Office document handling across macOS, Linux, and Windows.

Gives a coding agent its own persistent, authenticated Linux desktop over MCP, so it can browse signed-in sites, run shell commands, move files, and paste credentials that the model never sees, with logins surviving between tasks and human takeover available at any time.

Enables AI agents to coordinate ports and dev servers on a shared Linux machine, reserve ports, start and stop worktree servers, inspect listening services, Tailscale devices and dev worktrees, and clean up safely without collisions.

Enables users to mint reusable local MCP integrations from website tasks and run the generated business tools through Codex, with chat-based job progress, input prompts, cancellation, and authenticated browser operations.

Enables autonomous desktop automation by delegating tasks to vision-based agents operating within cloud-based virtual machine sandboxes. It allows users to manage VMs, execute complex computer tasks, and receive text-based screen summaries across Linux, Windows, and macOS environments.

An MCP server that enables AI models to search the web using OpenAI's 4o-mini Search model, allowing access to up-to-date information for just a few cents per search.

An MCP server that integrates a ReAct agent with built-in tools (calculator, text, unit conversion, etc.) and the AnySearch search service, enabling autonomous multi-step task execution.

Enables AI assistants to browse the web efficiently via compact goal-based views, lazy image loading, and low-latency interactions.

Swarm intelligence for AI agents, enabling collective decision-making through weighted consensus voting.

Enables agents to record their Linux X11 display while doing browser or computer-use work, then return a replay link when the task finishes without sending the video itself to the model.

Two-way MCP bridge between Claude and Codex: send prompts into a live Codex Desktop thread and messages into a running Claude Code session, keeping each conversation in its own app. Native Desktop tasks on Windows and macOS; CLI/app-server mode on Linux and WSL.

Hybrid computer-use MCP server that automates browsers and native macOS/Linux apps by fusing accessibility trees, Chrome DevTools Protocol, and vision into one structured context. Exposes four composable tools — cel_see, cel_act, cel_think, cel_perceive — that work with any MCP client and run fully offline via Ollama.

Enables developers to capture verbatim conversation turns, implementation plans, task lists, modified files, terminal errors, and uncommitted git state from one AI coding agent and inject or hand them off to another with a single command. It works across Claude Code, Antigravity, OpenAI Codex, and Grok Build CLI on Linux, macOS, and Windows.

A global marketplace MCP server enabling OpenCode instances to publish, search, and exchange MCP server capabilities, knowledge, and ideas over a distributed network via SMTP relay.

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.

Enables AI agents to spin up real Linux desktops in Docker and drive them by reading windows, pages, and documents as text and acting with tools like opening apps, running menu commands, filling file dialogs, and exporting files. It exposes these capabilities uniformly over MCP, function calling, HTTP, CLI, and Python/TypeScript SDKs, with token-efficient diffs, code mode, and parallel or forked desktops.

Connects AI agents to Sagu radars, pings, and artifacts for intelligence operations, enabling radar search, context packet export, and artifact management.

Provides a runtime for autonomous virtual robot brains, sitting between game engines and LLM inference to offer perception ingestion, LLM-driven reasoning, episodic memory, personality engine, motor output, and multi-bot registry.

Enables AI assistants to control a browser through Playwright tools for web automation tasks like navigation, typing, clicking, and taking screenshots.

Enables AI agents to deploy and operate self-hosted applications on Linux servers and homelabs through Docker Compose, including zero-config buildpack builds, encrypted secret storage, one-second PostgreSQL/Redis provisioning, and one-call exposure via Cloudflare Tunnel or Tailscale. It also provides container lifecycle and log management plus an optional lightweight web dashboard, all without a persistent daemon.

Enables founders to evaluate and purchase a managed AI operator running on a dedicated Mac mini, with tools to retrieve offer details and queue status.

Enables an orchestrating assistant to drive Claude Code sessions running inside a Podman Linux VM by sending requests, reading status and events, checking acknowledgements, choosing model and effort, pulling native context reports, and opening or resuming the sidebar conversation. It routes control through a host CLI and MCP interface over Podman exec into a private relay inside the VM, keeping host access scoped and inside the owner-approved sandbox.