Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Windows GUI automation on a hidden second desktop, driven from Claude Code over MCP.
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。
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": {
"agentfenster": {
"command": "uvx",
"args": [
"agentfenster-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add agentfenster -- uvx agentfenster-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"agentfenster": {
"command": "uvx",
"args": [
"agentfenster-mcp"
]
}
}
}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": {
"agentfenster": {
"type": "stdio",
"command": "uvx",
"args": [
"agentfenster-mcp"
]
}
}
}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。
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
注册名称已通过域名 agentfenster.com 验证(注册中心会核实域名所有权)
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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(0.1.0)于3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:Spec Driven Development, Remote Desktop Commander, LickityClick
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
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。
The agentfenster MCP server lets Claude Code and other MCP clients drive real Windows applications on a hidden second desktop inside your own session, with the same logins, cookies and VPN, while you keep your screen, mouse and keyboard. It is a local stdio server with 11 tools, from a one call task loop down to single verified clicks.
Every action is verified against the window state afterwards. A click that lands nowhere is reported as a failure, never as a silent success.
Full documentation: https://agentfenster.com/mcp
The MCP server ships with the agentfenster app, a commercial closed-source
Windows product. This repository is its public documentation and issue
tracker. It contains no product source code.
claude mcp add agentfenster -- agentfenster-mcp
Any MCP client that can launch a local stdio server works the same way. Then just ask:
> open the character map on the agent desktop and turn on the advanced view
| Tool | What it does |
|---|---|
list_windows | Lists the windows this machine can drive, with title, class, minimized state and whether a picture can be captured. The starting point when you do not know the exact window title. |
desktop_task | Runs a full GUI task in one window and returns a single paragraph: what happened, whether it worked, and if not, which step failed and why. The click loop runs inside the server, so its retries never enter your context. |
inspect_window | Returns the capped, filtered element tree of one window as a compact list, for planning clicks yourself. Capped at 200 elements and never walked from the desktop root. |
replay | Lists recent runs, or returns one run's step-by-step log: every plan, every action, whether it changed anything, and a link to the visual replay in the app. |
open_app | Launches a program on the shared agent desktop and reports its first titled window. The agent desktop starts empty, so this is how anything gets onto it. |
read_desktop | Reads the compact element tree of a window on the agent desktop, one line per interactive element, no screenshot. Plan your clicks from this. |
click | Clicks one element, chosen by id or name from read_desktop, then verifies against the desktop state and states explicitly whether anything changed. |
type_text | Types text into one element on the agent desktop, then verifies whether anything changed. |
press_key | Presses a key or key combination such as ctrl+s, enter, tab or alt+f4, optionally focusing an element first, with verification afterwards. |
scroll | Scrolls a window or a specific pane and reports whether the content actually moved. A list that is already at the bottom reports no effect. |
agent_windows | Lists the windows currently open on the shared agent desktop, frontmost first, so you can pick one by a title substring. |
desktop_task runs inside the server on a model endpoint you configure, so its retries and intermediate steps never enter your context.| Platform | Windows 10 or 11 |
| Transport | stdio, local |
| Runtime | Python 3.11 or newer, installed with the app |
| Prerequisite | the agentfenster app (commercial, 3-day trial) |
Use the issue tracker of this repository for bug reports and questions about the MCP server: tool behaviour, install problems, MCP client compatibility. For anything about the app itself, Discord and are faster.
agentfenster is commercial closed-source software. No open-source license is granted here. The text in this repository is published so that MCP users and directories can read, quote and link to it. Use of the agentfenster app itself is governed by the terms at https://agentfenster.com/terms.