"Linux Foundation" 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.

Provides a ready-to-run stdio server scaffold that agents can launch via npx without installing anything, bundled into a single file with an example tool, strict tool-schema checks, tests, and bilingual documentation. It gives developers a consistent foundation for building, validating, and shipping new MCP servers that agent-kit can execute directly.

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

A Model Context Protocol server that integrates Claude with Blender, enabling users to analyze and interact with IFC (Industry Foundation Classes) building models through natural language commands.

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.

A modern Model Control Plane (MCP) project that provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities through Python, FastAPI, and Docker.

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.

A template for deploying MCP servers on Cloudflare Workers without authentication. Provides a foundation for creating custom tools accessible via Server-Sent Events from both web-based and desktop MCP clients.

A template for deploying MCP servers on Cloudflare Workers without authentication. Provides a foundation for building custom MCP tools that can be accessed remotely from various MCP clients like Claude Desktop or the Cloudflare AI Playground.

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.

Your AI agents won't set your GPU on fire. GPU/CPU/RAM scheduler + market maker for AI coding agents (Claude Code, Codex, Gemini, Cursor, Grok, OpenCode, Kimi, Copilot and more) sharing one PC. Any mix of GPUs, MCP server, one-command install, Windows/macOS/Linux.

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.

Give your AI agents a real Chrome on your own Linux server. Connect through MCP or REST, watch live, take over for login and 2FA, then hand control back. Keep encrypted saved sessions, upload files and receive downloads. Open source under AGPL-3.0, with no usage fees; you provide the server.

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 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.