GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
A persistent Docker or Fly computer with a Three.js interface and optional live Xfce desktop.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
BACKEND, COMPUTER_ID, DESKTOP_ENVIRONMENT, NETWORK_ACCESS, AUTO_INSTALL_DOCKER, AUTO_INSTALL_FLYCTL, FLY_API_TOKEN, EXPOSE_LIFECYCLE_TOOLS标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
}
}
}
}在终端中运行这条命令
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-computer运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
BACKEND envDESKTOP_ENVIRONMENT envNETWORK_ACCESS envAUTO_INSTALL_DOCKER envAUTO_INSTALL_FLYCTL envEXPOSE_LIFECYCLE_TOOLS env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 flujo-app 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:COMPUTER_ID, FLY_API_TOKEN
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.11)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.