Capsulate

Name: Capsulate
Author: capsulatedev

作者：capsulatedev版本 0.7.0i★ –i在你的电脑上运行

注册名称io.github.capsulatedev/capsulate

安装

概览

作者提供的说明（英文原文）

Real Linux and Windows desktop VMs for AI agents: exec, files, computer-use and snapshots via MCP.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 其他
你需要填写：CAPSULATE_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： CAPSULATE_API_KEY, CAPSULATE_BASE_URL, CAPSULATE_TEAM_ID

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

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "capsulate": {
      "command": "npx",
      "args": [
        "-y",
        "@capsulate/mcp"
      ],
      "env": {
        "CAPSULATE_API_KEY": "your-value",
        "CAPSULATE_BASE_URL": "your-value",
        "CAPSULATE_TEAM_ID": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add capsulate --env CAPSULATE_API_KEY=your-value --env CAPSULATE_BASE_URL=your-value --env CAPSULATE_TEAM_ID=your-value -- npx -y @capsulate/mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "capsulate": {
      "command": "npx",
      "args": [
        "-y",
        "@capsulate/mcp"
      ],
      "env": {
        "CAPSULATE_API_KEY": "your-value",
        "CAPSULATE_BASE_URL": "your-value",
        "CAPSULATE_TEAM_ID": "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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "capsulate": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@capsulate/mcp"
      ],
      "env": {
        "CAPSULATE_API_KEY": "your-value",
        "CAPSULATE_BASE_URL": "your-value",
        "CAPSULATE_TEAM_ID": "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。

需要你填写的值

CAPSULATE_API_KEY 机密必填 env
A cap_live_ API key from the dashboard (Settings → API & Keys).
CAPSULATE_BASE_URL env
API base URL. Defaults to https://api.capsulate.dev.
CAPSULATE_TEAM_ID env
Team to bill. Defaults to the API key's team.

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。

它能做什么

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。

基础检查i

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

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 capsulatedev 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
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“其他”中的其他服务器比较i

星标数多于此分类中其他 32380 个服务器的 0%
发布到注册中心的时间比此分类中其他 32380 个服务器的 61% 更新
基础检查结果等于或优于此分类中其他 32380 个服务器的 100%

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。

常见问题

Capsulate 安全吗？

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。

它需要哪些密钥或代码？

你需要填写：CAPSULATE_API_KEY

它在我的电脑上运行还是在云端？

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）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.7.0）于24天前进入注册中心。

哪些应用可以使用它？

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 Node.js。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Dechonet MCP

替代选择

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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

Dechonet MCP

作者：node-man

30 security tools for AI agents: phishing links, exposure maps, DNS, SSL, PQC, history, pivots.

电脑或云端今天更新

安装

作者的 README

打开 README

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。

@capsulate/mcp

The Capsulate Model Context Protocol server. Give Claude Code, Claude Desktop, Cursor, Windsurf, Antigravity, any MCP client, the ability to launch and drive isolated cloud computers ("capsules"), including real Linux and Windows desktops that a person can watch live and take over.

Setup

Create an API key in the Capsulate dashboard: Settings → API & Keys.
Add the server to your MCP client config.

Claude Code

claude mcp add capsulate -e CAPSULATE_API_KEY=cap_live_... -- npx -y @capsulate/mcp

Claude Desktop / Cursor

"mcpServers": { "capsulate": { "command": "npx", "args": ["-y", "@capsulate/mcp"], "env": { "CAPSULATE_API_KEY": "cap_live_…" } } } }

To keep the key out of the config file, put it in a file and point at it with CAPSULATE_API_KEY_FILE instead. The file holds either the bare key or a CAPSULATE_API_KEY=cap_live_... line.

For a self-hosted or non-default deployment, also set "CAPSULATE_BASE_URL": "https://api.your-domain".

Tools

Tool	What it does
`capsulate_launch`	Launch a capsule and wait until ready
`capsulate_list` / `capsulate_get`	Inspect capsules
`capsulate_destroy`	Tear a capsule down
`capsulate_exec`	Run a command (argv array)
`capsulate_run_code`	Run a python/node/bash snippet
`capsulate_write_file` / `capsulate_read_file`	File I/O
`capsulate_set_env`	Set environment variables
`capsulate_snapshot`	Snapshot a capsule
`capsulate_catalog`	Discover launchable templates & bundles

Desktop computer use

Tool	What it does
`capsulate_screenshot`	See the screen (returns an image; `format: "jpeg"`, a `scale` or a region make it smaller)
`capsulate_screen_info`	The screen's size, the pointer and the active window
`capsulate_click` / `capsulate_move` / `capsulate_drag` / `capsulate_scroll`	Pointer
`capsulate_type` / `capsulate_key`	Keyboard
`capsulate_ui_tree`	Read the accessibility tree (AT-SPI on Linux, UI Automation on Windows) with clickable centers
`capsulate_find_element` / `capsulate_wait_element`	Find or wait for an element by role, name or text
`capsulate_click_element`	Find an element and click it: the reliable way to press a named button
`capsulate_clipboard`	Read or set the clipboard (paste long text instead of typing it)
`capsulate_element`	Act on an element without coordinates: set its value, clear, toggle, expand or collapse, invoke, select an option by name, focus, scroll it into view
`capsulate_windows`	List windows or bring one to the front
`capsulate_window`	Minimize, maximize, restore, close, move or resize a window
`capsulate_open`	Open a URL, a file or an app by name, and wait for its window
`capsulate_wait_for`	Wait for an element to appear, go away, be enabled or show a text, for a window, or for the screen to settle
`capsulate_ocr`	Read the text on screen when the UI tree has no labels
`capsulate_run_actions`	Several steps in one call, back to back, stopping at the first that fails, with a look at the end

The input verbs accept screenshot: true (and screenshotDelayMs) to return the frame after the action. Every tool works the same on Linux and Windows desktops; a multi-line editor is a document on Windows and a text on Linux.

Browser fast path

The capsule's own Chrome, driven through the page's structure at page speed, on the same screen the person watches: capsulate_browser_open, _navigate, _tabs, _snapshot (an outline with refs), _click, _fill (the value is never echoed), _select, _press, _scroll, _wait, _text, _eval and _screenshot.

Live: a person watches, takes over, hands back

A desktop capsule has one shared screen. The AI drives it through the tools above while a person watches the same screen in a browser, sees the AI's pointer, clicks and keys drawn over it, reads its narration, and can take the screen at any time.

Tool	What it does
`capsulate_console_link`	A signed, expiring URL that opens the live screen in any browser with no login (`control` or `view`)
`capsulate_say`	Show one line of narration on the live console
`capsulate_control`	Who is driving: `free`, `agent` (the AI) or `human`; `take` or `release` the screen; set the `pace` (`natural` or `presentation`) for a person watching
`capsulate_handoff`	Hand the screen to the person with a note ("Please sign in"), wait until they hand it back, get their note
`capsulate_wait_for_handback`	Keep waiting for the person to hand the screen back

While a person holds the screen, the AI's input verbs answer human_in_control and nothing reaches the capsule; the tool result says to wait with capsulate_wait_for_handback. Reading the screen (screenshot, UI tree, OCR) keeps working. Each AI input holds the screen for 45 seconds; the console is view-only for everyone else during that time and turns interactive again when the AI goes quiet or releases.

Skills: learn once, replay in minutes

Tool	What it does
`capsulate_lesson`	Learn a job on a capsule: a person teaches on the shared screen (clicks, keys and typing with the elements they hit, passwords masked, optionally video and voice) or the AI teaches itself toward a goal; `get` reads the digest
`capsulate_skills`	The team's skills: save one from a lesson's digest, versions, approve, save an environment, rehearse, weekly rehearsals
`capsulate_skill_run`	Run a skill's procedure in the background; it asks you where the skill leaves a decision open
`capsulate_inbox`	Runs that wait, versions to approve, failed rehearsals and skills whose software changed

The server's instructions carry the learning protocol: explore with a goal, note what you learn, finish, read the digest, save the skill; next time launch its environment and run its procedure.

Try it

"Spin up an ubuntu-22.04-headless capsule, run my test suite, and show me the output."

The model calls capsulate_launch, then capsulate_exec, and reports back.

"Launch an ubuntu-22.04-desktop capsule, give me a live link, and find the latest Firefox release

notes. If anything needs a login, hand it to me."

The model launches the desktop, calls capsulate_console_link and gives you the URL, narrates with capsulate_say as it works, and calls capsulate_handoff when it needs you. You press Done, hand back in the live console when you finish, and it carries on.

Develop

npm run build                          # from the repo root: sdk, ai-tools, cli, mcp

node apps/mcp/scripts/smoke-live.mjs # live tools end to end against a fake API