Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Drive a PC over MCP: shell, files, processes, system stats, screenshots, mouse and keyboard.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
REMOTE_PC_MCP_TOKEN, REMOTE_PC_MCP_HOST, REMOTE_PC_MCP_PORT비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
REMOTE_PC_MCP_HOST envREMOTE_PC_MCP_PORT env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 raghibrm 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: REMOTE_PC_MCP_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.2)은 19일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, FactLot
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요