GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
A persistent Docker or Fly computer with a Three.js interface and optional live Xfce desktop.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
BACKEND, COMPUTER_ID, DESKTOP_ENVIRONMENT, NETWORK_ACCESS, AUTO_INSTALL_DOCKER, AUTO_INSTALL_FLYCTL, FLY_API_TOKEN, EXPOSE_LIFECYCLE_TOOLSValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"virtual-computer": {
"command": "uvx",
"args": [
"mcp-virtual-computer"
],
"env": {
"BACKEND": "your-value",
"COMPUTER_ID": "your-value",
"DESKTOP_ENVIRONMENT": "your-value",
"NETWORK_ACCESS": "your-value",
"AUTO_INSTALL_DOCKER": "your-value",
"AUTO_INSTALL_FLYCTL": "your-value",
"FLY_API_TOKEN": "your-value",
"EXPOSE_LIFECYCLE_TOOLS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add virtual-computer --env BACKEND=your-value --env COMPUTER_ID=your-value --env DESKTOP_ENVIRONMENT=your-value --env NETWORK_ACCESS=your-value --env AUTO_INSTALL_DOCKER=your-value --env AUTO_INSTALL_FLYCTL=your-value --env FLY_API_TOKEN=your-value --env EXPOSE_LIFECYCLE_TOOLS=your-value -- uvx mcp-virtual-computerFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"virtual-computer": {
"command": "uvx",
"args": [
"mcp-virtual-computer"
],
"env": {
"BACKEND": "your-value",
"COMPUTER_ID": "your-value",
"DESKTOP_ENVIRONMENT": "your-value",
"NETWORK_ACCESS": "your-value",
"AUTO_INSTALL_DOCKER": "your-value",
"AUTO_INSTALL_FLYCTL": "your-value",
"FLY_API_TOKEN": "your-value",
"EXPOSE_LIFECYCLE_TOOLS": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"virtual-computer": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-virtual-computer"
],
"env": {
"BACKEND": "your-value",
"COMPUTER_ID": "your-value",
"DESKTOP_ENVIRONMENT": "your-value",
"NETWORK_ACCESS": "your-value",
"AUTO_INSTALL_DOCKER": "your-value",
"AUTO_INSTALL_FLYCTL": "your-value",
"FLY_API_TOKEN": "your-value",
"EXPOSE_LIFECYCLE_TOOLS": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
BACKEND envDESKTOP_ENVIRONMENT envNETWORK_ACCESS envAUTO_INSTALL_DOCKER envAUTO_INSTALL_FLYCTL envEXPOSE_LIFECYCLE_TOOLS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account flujo-app, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: COMPUTER_ID, FLY_API_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.11) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A VM for your agent. And for you.
COMPUTER_ID defaults to agent-workstation when omitted. Set it explicitly to keep using a named computer or to create a separate one. On a fresh Windows PC, setup prepares WSL 2 before installing Docker Desktop. Approve the Windows administrator prompt if shown; if a restart is required, restart Windows, reopen your MCP client, and retry. See Windows first-use validation.
{
"mcpServers": { "virtual-computer": { "command": "uvx", "args": ["mcp-virtual-computer"], "env": { "COMPUTER_ID": "agent-workstation", "DESKTOP_ENVIRONMENT": "true", "NETWORK_ACCESS": "true", "AUTO_INSTALL_DOCKER": "true", "EXPOSE_LIFECYCLE_TOOLS": "false" } } } }
On a fresh machine, start the MCP once, run the exact flyctl auth login command shown by its error, and restart the MCP client
{
"mcpServers": { "virtual-computer-fly": { "command": "uvx", "args": ["mcp-virtual-computer", "--backend", "fly"], "env": { "COMPUTER_ID": "agent-workstation", "DESKTOP_ENVIRONMENT": "true", "NETWORK_ACCESS": "true", "AUTO_INSTALL_FLYCTL": "true", "EXPOSE_LIFECYCLE_TOOLS": "false" } } } }
terminal_execute — run a command in the configured Docker container or Fly Machine.read_file — read a UTF-8 text file relative to /workspace or by absolute path.write_file — atomically write a UTF-8 text file.edit_file — replace one exact text match, or all matches when requested.computer_ui — open or attach the Three.js computer view. Its result includes both the MCP App resource_uri and a real loopback url/dashboard_url that opens in an external browser, including for stdio clients.DESKTOP_ENVIRONMENT defaults to true. With the real desktop enabled it additionally exposes:
look_at_screen — return the current PNG framebuffer, AT-SPI snapshot, or both.click, type, and scroll — interact by AT-SPI element reference or coordinates.list_windows and switch_window — enumerate and activate real Xfce windows.move_window, maximize_window, restore_window, minimize_window, and close_window — control a selected window by ID, title, or class.computer://screen/current.png — current live framebuffer resource.computer://screen/accessibility.json — Playwright-like AT-SPI tree with element refs, roles, names, actions, focus state, and screen bounds.The MCP App can always call runtime_status, set_network_access, and set_desktop_environment. Set EXPOSE_LIFECYCLE_TOOLS=true to additionally expose those lifecycle controls to the model; they remain model-hidden by default.
Fly mode builds the bundled Xfce image with Fly's remote builder and deploys it as one permanent Machine. The root filesystem and /workspace survive MCP restarts, and the Three.js screen uses the same noVNC desktop through Fly's HTTPS/WebSocket proxy.
This is the Xfce framebuffer returned by look_at_screen from a deployed Fly Machine. The same live desktop appears on the rendered computer after computer_ui connects to VNC:
No app name, region, CPU size, memory size, Docker installation, or VNC configuration is required. The package's MCP Registry declaration, including the docker and fly backend choices, is in server.json. See Fly setup for the complete first-run and authentication flow.
On first use, virtual-computer finds fly/flyctl or downloads the current official release to ~/.fly/bin. It uses a cached fly auth login session or FLY_API_TOKEN, selects the personal organization when available, creates and remembers a generated app, lets Fly choose the closest placement, and defaults to one shared CPU with 1 GB RAM.
Authentication is the only unavoidable account step. On a fresh machine, start the MCP once, run the exact flyctl auth login command shown by its error, and restart the MCP client. The first computer call can take several minutes while Fly remotely builds Xfce. Later starts attach to the same Machine.
Optional overrides remain available as FLY_ORG, FLY_APP_NAME, FLY_REGION, FLY_API_TOKEN, and the --fly-* flags. Set AUTO_INSTALL_FLYCTL=false to require a preinstalled CLI. Deleting or factory-resetting the computer destroys its persistent Fly root filesystem; ordinary MCP shutdown leaves the permanent Machine running. Stop or delete it from Fly when you no longer want it to incur usage.
MIT licensed. This project is a persistent-computer fork of Kilntainers with Docker and Fly backends.