Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
See what's on your ports, the processes behind them, and diagnose conflicts and leaks.
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.
The maker has not listed install details in the registry. See the maker’s README below.
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 6, 2026
The registry name was verified with the GitHub account Mapika, 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 (2.1.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Rust on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
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.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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.
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:
Only the beginning is shown; read the rest in the repo