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)
Watch RAM and disk on your Windows PC. Cleanup tools return plans only.
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": {
"headroom": {
"command": "uvx",
"args": [
"headroom-pc",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add headroom -- uvx headroom-pc mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"headroom": {
"command": "uvx",
"args": [
"headroom-pc",
"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": {
"headroom": {
"type": "stdio",
"command": "uvx",
"args": [
"headroom-pc",
"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7日
注册名称已通过 GitHub 账户 Jasdish-Singh 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。
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(0.1.1)于11天前进入注册中心。
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, First Sale Scout
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.
Playbooks and a 14-day checklist for founders winning their first paying customers.
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 quiet watcher for the RAM and disk on your Windows PC.
Headroom sits in the tray, keeps a small history, and shows what is full. Cleanup is limited to an allowlist. Type YES to delete. Type MOVE to send a reviewed file to the Recycle Bin or to an archive folder.
Jasdish Singh. MIT, 2026.
user_temp, windows_temp, chrome_cache, edge_cache, firefox_cache, thumbnail_cache, and recycle_bin. Config cannot add a path.127.0.0.1 and a read-only desktop pet, Roomy.clean, move, and startup_disable return a plan. They do not change the PC.The command is headroom.
Exe. headroom- -windows-x64.exe from GitHub Releases. It is one portable file. Save it as headroom.exe in a folder you keep.
winget, after the manifest is accepted:
winget install JasdishSingh.Headroom
pip. The PyPI name is headroom-pc. Python 3.11 or newer.
py -3.12 -m pip install "headroom-pc[tray]"
headroom status
tray adds the tray icon. The MCP server is always included.
headroom status
headroom top headroom clean --dry-run headroom watch headroom dashboard
headroom watch takes a sample immediately, then every 30 seconds (slower on battery, faster under pressure). headroom install starts it at sign-in. A second watch, dashboard, or pet does not start another copy.
headroom dashboard prints and opens http://127.0.0.1: /?token=.... Before the first stored sample, the page shows the live reading.
Commands, defaults, and exit codes: docs/commands.md.
Roomy is a small beige monitor. The cord is the tail. It walks a little and shows the PC's RAM usage in a speech bubble, like "RAM 62% used". It cannot clean, move, or delete.
headroom pet
headroom widget headroom pet --skin midnight headroom pet --skin tower --lite
headroom widget is the same pet. Click opens the dashboard. Drag remembers the spot. Right-click: dashboard, report, mute, hide, quit.
The dashboard has an on/off toggle for Roomy. It starts or stops the pet and remembers the choice across restarts, overriding widget.autostart.
Skins and the frame budget: docs/roomy.md.
headroom mcp is a stdio server on this PC. Point a client at the installed exe:
headroom.exe mcp
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "headroom": { "command": "headroom.exe", "args": ["mcp"] } } }
Cursor (.cursor/mcp.json):
{
"mcpServers": { "headroom": { "command": "headroom.exe", "args": ["mcp"] } } }
Codex and ChatGPT (config.toml):
[mcp_servers.headroom]
command = "headroom.exe" args = ["mcp"]
With the pip package on PATH, the command is headroom and the argument is still mcp.
mcp-name: io.github.Jasdish-Singh/headroom
Paste this into Claude, ChatGPT, or Cursor after connecting the MCP server.
You have access to Headroom, a local tool that monitors and protects this PC's RAM and disk.
Start a full health check:
status and tell me current RAM, commit, page file and free disk space in plain English.top and list the 5 biggest RAM users, saying whether each is normal or worth closing.analyze and scan to find what's taking up disk space, grouped into important, safe to clean, and needs my review.dupes and startup_list, and point out duplicate files and startup apps slowing my PC.changes and report to tell me what changed recently and any trends to watch.Finish with a short summary: my overall PC health (good / watch / act now), the top 3 things to do, and how much space or RAM each would free.
Rules: only read and explain. If cleanup helps, call clean, move or startup_disable only to show me a plan. Never delete, move or disable anything yourself. I'll approve inside Headroom.
The same text is docs/ai-starter-prompt.md and the MCP prompt health_check. Tool list: docs/commands.md.