Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Drive a PC over MCP: shell, files, processes, system stats, screenshots, mouse and keyboard.
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.
REMOTE_PC_MCP_TOKEN, REMOTE_PC_MCP_HOST, REMOTE_PC_MCP_PORTValues marked secret are keys to your account. Never share them or paste them into a chat.
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": {
"remote-pc": {
"command": "uvx",
"args": [
"remote-pc-mcp"
],
"env": {
"REMOTE_PC_MCP_TOKEN": "your-value",
"REMOTE_PC_MCP_HOST": "your-value",
"REMOTE_PC_MCP_PORT": "your-value"
}
}
}
}Run this in your terminal
claude mcp add remote-pc --env REMOTE_PC_MCP_TOKEN=your-value --env REMOTE_PC_MCP_HOST=your-value --env REMOTE_PC_MCP_PORT=your-value -- uvx remote-pc-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"remote-pc": {
"command": "uvx",
"args": [
"remote-pc-mcp"
],
"env": {
"REMOTE_PC_MCP_TOKEN": "your-value",
"REMOTE_PC_MCP_HOST": "your-value",
"REMOTE_PC_MCP_PORT": "your-value"
}
}
}
}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": {
"remote-pc": {
"type": "stdio",
"command": "uvx",
"args": [
"remote-pc-mcp"
],
"env": {
"REMOTE_PC_MCP_TOKEN": "your-value",
"REMOTE_PC_MCP_HOST": "your-value",
"REMOTE_PC_MCP_PORT": "your-value"
}
}
}
}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.
REMOTE_PC_MCP_HOST envREMOTE_PC_MCP_PORT envThese 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 raghibrm, 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.
You need to fill in: REMOTE_PC_MCP_TOKEN
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 (0.6.2) reached the registry 19 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, Starreel
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.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
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.
Expose any PC's capabilities — shell, filesystem, background processes, system stats, screenshots, UI control, and file transfer — to any MCP client (Claude Desktop, Claude Code, Cursor, Cline, Continue, Windsurf, custom agents — anything that speaks the Model Context Protocol) over streamable HTTP.
Drop it on any machine you want to drive remotely: a home server, a desktop, a build/CI box, a media server, a workstation, a Raspberry Pi. From a separate machine, your AI agent of choice can run commands on it, manage files, launch and monitor background jobs, take screenshots, and drive the desktop UI.
The transport is the mcp SDK's streamable HTTP (stateless_http=True), so a server restart does not break already-connected clients. Each request is self-contained — there is no in-memory session to go stale.
⚠️ `shell_exec` runs arbitrary commands on the host as the user that started the server. The bearer token is a root-equivalent credential. See Security before exposing the server.
| Tool | Description |
|---|---|
shell_exec | Run any shell command — returns stdout, stderr, exit code |
read_file | Read a file as text or base64 (binary fallback) |
write_file | Write text or binary content to a file |
list_directory | List files and directories, optionally recursive |
system_info | OS, CPU, RAM, and GPU stats (NVIDIA GPUs via nvidia-smi; absent on non-GPU hosts) |
start_process | Start a long-running command in the background — returns a PID |
get_process_output | Poll stdout/stderr of a background process by PID, plus its exit code once it ends |
kill_process | Terminate a process by PID |
download_file | Download a URL directly to this machine |
take_screenshot | Capture the whole desktop, every monitor, as an image sized for a vision model (screen coordinates) |
click | Click at (x, y) in the screenshot — left / right / middle, single or multi-click |
move_mouse | Move cursor to (x, y) in the screenshot, optionally animated |
type_text | Type a string into the focused window |
press_key | Press a single key or hotkey combo (e.g. enter, f11, ctrl+c, win+d) |
scroll | Scroll the mouse wheel up or down, optionally at a specific point |
On the machine you want to control:
git clone https://github.com/raghibrm/remote-pc-mcp
cd remote-pc-mcp cp .env.example .env
Set a strong token in .env:
REMOTE_PC_MCP_TOKEN=your-long-random-token-here
Generate one:
# Windows
python -c "import secrets; print(secrets.token_hex(32))"
openssl rand -hex 32
Then run the installer:
# Windows
install.bat
chmod +x install.sh ./install.sh
That's it — one command. The installer:
curl http://localhost:8765/health
install.bat / install.sh are idempotent and self-healing. Rerun any time after:
For day-to-day operation you never need to think about it.
Autostart fires when you sign in to Windows. A reboot that sits at the lock screen will NOT start the daemon until somebody logs in. This is intentional — enabling Windows auto-logon to make reboots fully hands-off would let anyone with physical access to the machine get a logged-in desktop, which is the wrong trade-off for a remote-control tool.
If you need to bring the daemon back up after a reboot without walking to the PC, sign in remotely via Remote Desktop or Tailscale SSH. Once you're logged in, the Startup shortcut fires and the daemon starts.
Linux is different: install.sh --linger runs sudo loginctl enable-linger $USER so the systemd user unit runs across reboots without any logon. systemd's user services don't share the auto-logon security problem because they don't grant interactive desktop access — they just keep your user-scoped daemons alive.
# Windows
install.bat --uninstall
./install.sh --uninstall
Removes the autostart entry and stops the running server + supervisor.
For a one-off run with visible console output and no autostart:
python server.py
That's it — no special script. Use install.bat / install.sh for the normal supervised setup.
pip install remote-pc-mcp
remote-pc-mcp # run the server in the foreground remote-pc-mcp-daemon # supervised: restarts the server on crash
A pip install gives you the server and supervisor commands but does not register autostart. For autostart on sign-in, use the clone and install-script path above. .env, logs, and .state/ live in REMOTE_PC_MCP_HOME (default: the working directory).
Most MCP clients use the same JSON schema; the file just lives in different places. Example:
{
"mcpServers": { "remote-pc": { "type": "http", "url": "http://YOUR_PC_IP_OR_HOSTNAME:8765/mcp", "headers": { "Authorization": "Bearer your-long-random-token-here" } } } }
Where to put it:
| Client | Config file |
|---|---|
| Claude Code | .mcp.json in the project root (or ~/.claude.json for user-wide) |
| Claude Desktop | claude_desktop_config.json (Settings → Developer → Edit Config) |
| Cursor | .cursor/mcp.json |
| Cline / Continue / Windsurf | each has its own MCP servers panel — paste the JSON there |
| Custom agents | wherever your agent reads MCP server definitions |
For Tailscale users, the magic-DNS hostname works in the URL:
"url": "http://your-pc.tail12345.ts.net:8765/mcp"
Restart (or reload) your client. The tools appear automatically. The "remote-pc" key is just a label — pick whatever name you want.
shell_exec runs any command on the host as the user that started the server. That is intentional — it is what makes the server useful for remote-driving a PC. It also means:
.env (which is git-ignored), and treat it like a password.REMOTE_PC_MCP_HOST=100.x.x.x in .env) so the listener is only reachable from devices in your tailnet.REMOTE_PC_MCP_HOST=0.0.0.0 are reasonable if you trust every device on the LAN and have a strong token. Don't do this on an untrusted network.The token is compared with secrets.compare_digest (constant-time). All error messages pass through a sanitiser that strips absolute paths, the home directory, and the token before being returned to clients.
All env vars are optional except REMOTE_PC_MCP_TOKEN.
| Var | Default | Description |
|---|---|---|
REMOTE_PC_MCP_TOKEN | _(required)_ | Bearer token clients must present |
REMOTE_PC_MCP_HOST | 0.0.0.0 | Bind address. Set to a Tailscale IP to restrict reach |
REMOTE_PC_MCP_PORT | 8765 | Listen port |
REMOTE_PC_MCP_ALLOWED_HOSTS | _(empty)_ | Comma-separated allowlist for DNS-rebinding protection. Empty disables it (default — wrong threat model on a tailnet) |
REMOTE_PC_MCP_MAX_SHELL_TIMEOUT | 600 (s) | Cap on per-call shell_exec timeout |
REMOTE_PC_MCP_MAX_READ_BYTES | 50 MB | read_file upper limit |
REMOTE_PC_MCP_MAX_WRITE_BYTES | 50 MB | write_file upper limit |
REMOTE_PC_MCP_MAX_DOWNLOAD_BYTES | 2 GB | download_file upper limit |
REMOTE_PC_MCP_SCREEN_MAX_EDGE | 1568 (px) | Longest edge of the take_screenshot image. 0 turns the limit off |
REMOTE_PC_MCP_SCREEN_MAX_PIXELS | 1150000 | Total pixels of the take_screenshot image. 0 turns the limit off |
After changing .env, restart the server so the new value takes effect:
# Windows: easiest path is just re-run the installer (idempotent)
install.bat --uninstall && install.bat
systemctl --user restart remote-pc-mcp
Two log files in the repo root, both rotated automatically:
| File | What's in it | Rotation |
|---|---|---|
server.log | App events + uvicorn startup/access logs | 10 MB × 5 |
daemon.log | Supervisor events (crashes, restarts, backoff) | 2 MB × 3 |
Server isn't responding?
# Is the listener up locally?
curl http://localhost:8765/health
tail -f daemon.log
journalctl --user -u remote-pc-mcp -f
explorer shell:startup # look for remote-pc-mcp.lnk
MCP client says tools are missing after a server restart?
The streamable HTTP transport is designed so a restart does not brick clients, but the client still has to issue a request to notice the new server. First fix: invoke any tool from this server (e.g. ask your agent to run system_info) — the client will retry the connection. If that fails, reconnect the MCP server in your client (Claude Code: /mcp ; Cursor: refresh in MCP panel) or restart the client.
Stuck process / port already in use?
# Windows
install.bat --uninstall && install.bat
./install.sh --uninstall && ./install.sh
take_screenshot, click, move_mouse, type_text, press_key, and scroll require an interactive desktop session:
scrot, gnome-screenshot, or ImageMagick's import — sudo apt install scrot is the easiest.A vision model sees a screenshot shrunk to fit its image limits, and the coordinates it answers with are in that shrunken image. So take_screenshot shrinks the desktop itself, to at most REMOTE_PC_MCP_SCREEN_MAX_EDGE pixels on the long edge and REMOTE_PC_MCP_SCREEN_MAX_PIXELS in total. The defaults match the Claude API's standard image limits, so the client does not shrink it again. The result is a JPEG image plus a JSON block with the image size, the scale, the desktop's geometry, and the path of the full-resolution PNG on the host.
click, move_mouse, and scroll take (x, y) in that image's pixels. The server maps each point back to the real desktop, including monitors left of or above the primary one, which have negative desktop coordinates. Each call also returns the desktop_x, desktop_y it used. The mapping depends only on the desktop's current size, so a client can click without taking a screenshot first, as long as it uses the same image size. Set both limits to 0 for a full-resolution image, one pixel per desktop pixel. Coordinates still count from the image's top
Only the beginning is shown; read the rest in the repo