Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Watch RAM and disk on your Windows PC. Cleanup tools return plans only.
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.
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": {
"headroom": {
"command": "uvx",
"args": [
"headroom-pc",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add headroom -- uvx headroom-pc mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"headroom": {
"command": "uvx",
"args": [
"headroom-pc",
"mcp"
]
}
}
}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": {
"headroom": {
"type": "stdio",
"command": "uvx",
"args": [
"headroom-pc",
"mcp"
]
}
}
}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.
These 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 7, 2026
The registry name was verified with the GitHub account Jasdish-Singh, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.1.1) reached the registry 11 days 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: Spec Driven Development, Remote Desktop Commander, Aiterm 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
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.
Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.
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 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.