Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
See what's on your ports, the processes behind them, and diagnose conflicts and leaks.
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.
제작자가 레지스트리에 설치 정보를 올리지 않았어요. 아래 제작자의 README를 확인하세요.
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 6일 점검
레지스트리 이름이 GitHub 계정 Mapika 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(2.1.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Rust도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, BankBridge
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.
Works in any MCP agent, including local models. Read-only bank accounts, spending, investments.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
portview lists ports and the processes using them on Linux, macOS, and Windows. It shows process names, commands, memory usage, and uptime. You can inspect a port, stop its process, or monitor changes in an interactive terminal UI.
It also supports Docker, remote hosts over SSH, and an MCP server for coding agents.
Homebrew:
brew install mapika/tap/portview
Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/mapika/portview/main/install.sh | sh
Windows (PowerShell):
irm https://raw.githubusercontent.com/mapika/portview/main/install.ps1 | iex
Or use cargo install portview, or download a binary from Releases.
portview # list all listening ports
portview 3000 # inspect port 3000 in detail portview node # find ports by process name portview watch # interactive TUI with live refresh portview watch --docker # TUI with Docker containers as rows portview kill 3000 --force # terminate the process using port 3000 portview doctor # diagnose port conflicts and issues portview ssh user@server # inspect ports on a remote host portview ssh user@server watch # remote TUI over SSH portview ssh user@server --agentless # no portview needed on the remote portview mcp # run as an MCP server for AI agents
$ portview
╭──────┬───────┬─────┬──────────────┬──────┬────────────┬────────┬────────┬────────────────────────────╮ │ PORT │ PROTO │ PID │ ADDR │ USER │ PROCESS │ UPTIME │ MEM │ COMMAND │ ├──────┼───────┼─────┼──────────────┼──────┼────────────┼────────┼────────┼────────────────────────────┤ │ 3000 │ TCP │ 8 │ 127.0.0.1 │ root │ node │ 7s │ 44 MB │ node /opt/app/web.js │ │ 5000 │ TCP │ 11 │ 127.0.0.1 │ root │ python3.12 │ 7s │ 18 MB │ python3 /opt/app/worker.py │ │ 6380 │ TCP │ 12 │ 127.0.0.1 │ root │ node │ 7s │ 1.2 GB │ node /opt/app/cache.js │ │ 7000 │ TCP │ 10 │ 127.0.0.1 │ root │ node │ 7s │ 45 MB │ node /opt/app/ingest.js │ │ 8080 │ TCP │ 9 │ 127.0.0.1 │ root │ node │ 7s │ 44 MB │ node /opt/app/api.js │ ╰──────┴───────┴─────┴──────────────┴──────┴────────────┴────────┴────────┴────────────────────────────╯
--all includes non-listening connections, with one row per connection. --wide shows full commands. --json produces JSON output for scripts.
Ports whose owner can't be resolved are still listed, with - in the columns that can't be filled. That happens for another user's process without sudo, and for sockets like TIME_WAIT that outlive the process that opened them.
The scan, doctor, and MCP examples below are real output, captured by
demo/record.shinside an isolated namespace — which is why the user isrootand the paths are/opt/app. The Docker example is illustrative, since it needs a running daemon.
portview mcp provides port queries, diagnostics, and process termination over the Model Context Protocol using stdio. To register it with Claude Code:
claude mcp add portview -- portview mcp
Or configure it manually:
{
"mcpServers": { "portview": { "command": "portview", "args": ["mcp"] } } }
| Tool | What it does |
|---|---|
list_ports | List listening ports with available process details |
inspect_port | Inspect a port, including process working directories and descendants |
find_process | Find ports by process name or command substring |
doctor | Check for conflicts, wildcard exposure, connection buildup, and high memory usage |
diff_ports | Report ports that opened, closed, or changed owner since a baseline |
kill_port | Terminate processes using a port; dry_run previews the targets. Marked destructive to the client |
The MCP server is included in the portview binary. Pass --read-only to disable the kill_port tool:
portview mcp --read-only
Listed in the MCP Registry as mcp-name: io.github.Mapika/portview.
portview watch # live-refresh every 1s
portview watch --docker # include Docker containers portview watch --sort mem # sort by memory on launch
| Key | Action |
|---|---|
j/k, ↑/↓ | Navigate rows |
Enter | Inspect port (full command, cwd, children, connections) |
d/D | Kill process or manage Docker container |
/ | Filter across all columns |
←/→, r | Cycle sort column, reverse direction |
t | Toggle process tree view |
a | Toggle all/listening-only |
q | Quit |
Tree view (t): Groups child processes under their parents.
Detail view (Enter): Shows the full unwrapped command, working directory, child process list with ports, and open connections (in --all mode).
portview doctor checks for port conflicts, wildcard bindings, connection buildup, and high memory usage:
$ portview doctor
✓ No port conflicts ✓ No wildcard exposure issues ! Port 7000 has 16 CLOSE_WAIT connections — possible connection leak ! node (PID 12) is listening on port 6380 and using 1.2 GB of memory
2 warnings found
| Check | Flags |
|---|---|
| Port conflicts | Multiple PIDs bound to the same port |
| Wildcard exposure | Databases (postgres, redis, mysql, mongod, …) listening on 0.0.0.0 |
| Docker-host conflicts | A container publishing a port the host already uses |
| Connection buildup | High counts of TIME_WAIT or CLOSE_WAIT connections on one port; these do not by themselves establish a leak |
| High memory usage | Listening processes using more than 1 GB of resident memory |
Docker is auto-detected. portview doctor --json for scripting (exit code 1 on errors).
The GitHub Action runs doctor and can fail a workflow on errors or warnings:
- uses: mapika/portview@v2
with: fail-on: error # error | warning | never
It annotates each finding inline on the run, writes a summary table, and exposes findings (JSON), count, errors, and warnings as step outputs:
- uses: mapika/portview@v2
id: doctor with: fail-on: never
Set install: false if portview is already on PATH. Linux and macOS runners.
Inspect ports on a remote host over SSH:
portview ssh user@server # one-shot scan
portview ssh user@server watch # full interactive TUI portview ssh user@server doctor # remote diagnostics portview ssh user@server 3000 # inspect a remote port portview ssh user@server --ssh-opt "-p 2222" # custom SSH port
Kill actions in the remote TUI are forwarded over SSH.
If portview is not installed on the remote host, SSH mode collects data using ss and ps, or lsof and ps where ss is unavailable. This requires a POSIX shell and the collection tools on the remote host.
$ portview ssh user@server
portview not found on user@server — falling back to agentless mode (ss + ps over SSH). ╭──────┬───────┬─────┬──────────────┬──────┬─────────┬────────┬───────┬──────────────────────╮ │ PORT │ PROTO │ PID │ ADDR │ USER │ PROCESS │ UPTIME │ MEM │ COMMAND │ ├──────┼───────┼─────┼──────────────┼──────┼─────────┼────────┼───────┼──────────────────────┤ │ 3000 │ TCP │ 6 │ 127.0.0.1 │ root │ node │ 3s │ 45 MB │ node /opt/app/web.js │ │ 8080 │ TCP │ 7 │ 127.0.0.1 │ root │ node │ 3s │ 45 MB │ node /opt/app/api.js │ ╰──────┴───────┴─────┴──────────────┴──────┴─────────┴────────┴───────┴──────────────────────╯
Use --agentless to collect data this way even when portview is installed on the remote host. It supports scans, port inspection, process search, diagnostics, and watch mode.
Run diagnostics on the collected data:
portview ssh user@server doctor --agentless
This uses the same diagnostic checks as local mode. The Docker check is skipped because agentless mode does not query remote containers.
Watch remote ports, with process termination available in the TUI:
portview ssh user@server watch --agentless
Watch mode collects updates through a single persistent SSH connection.
Use --docker to include ports published by Docker containers:
$ portview --docker
╭──────┬───────┬───────┬──────────────┬────────┬──────────┬────────┬────────┬────────────────────────────╮ │ PORT │ PROTO │ PID │ ADDR │ USER │ PROCESS │ UPTIME │ MEM │ COMMAND │ ├──────┼───────┼───────┼──────────────┼────────┼──────────┼────────┼────────┼────────────────────────────┤ │ 3000 │ TCP │ 48291 │ 127.0.0.1 │ mark │ node │ 3h 12m │ 248 MB │ next dev [docker:web] │ │ 8080 │ TCP │ - │ 0.0.0.0 │ docker │ pv-nginx │ - │ - │ nginx:alpine :8080->80/tcp │ ╰──────┴───────┴───────┴──────────────┴────────┴──────────┴────────┴────────┴────────────────────────────╯
Container-only rows have no host process, so PID, UPTIME, and MEM render as -.
In watch mode, press d on a Docker row to stop or restart the container, or follow its logs.
portview --json # pipe to jq, scripts, dashboards
portview --docker --json # includes Docker ownership data portview watch --json # streaming JSON, one array per tick portview doctor --json # machine-readable diagnostics
PORTVIEW_COLORS="port=red,pid=magenta,command=bright_cyan" portview
Columns: port, proto, pid, user, process, uptime, mem, command. Use --no-color to disable.
Local port and process data comes from OS interfaces:
| Field | Linux | macOS | Windows |
|---|---|---|---|
| Ports | /proc/net/tcp{,6}, udp{,6} | proc_pidfdinfo | GetExtendedTcp/UdpTable |
| PID | inode→pid via /proc/*/fd/ | proc_listpids | Included in socket table |
| Process | /proc/ /exe | proc_pidpath | QueryFullProcessImageNameW |
| Memory | /proc/ /status VmRSS | proc_pidinfo | K32GetProcessMemoryInfo |
| Uptime | /proc/ /stat | proc_pidinfo | GetProcessTimes |
On Linux, portview reads the executable name from /proc/ /exe. The thread name in /proc/ /comm can be changed by the runtime and is limited to 15 bytes.
Docker integration uses the docker CLI. SSH mode uses the system ssh client to run portview or the agentless collection tools on the remote host. MCP mode uses newline-delimited JSON-RPC 2.0 on stdin/stdout.
git clone https://github.com/mapika/portview
cd portview cargo build --release
Requires Rust 1.85+ (edition 2024). Shell completions and man page are generated at build time.
The repository includes a Dockerfile. To inspect the host from a container, share the host's network and PID namespaces:
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요