Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Super Log
Overview
Description from the maker (original English)
Query your local super-log bench from an AI agent - read-only log tools over the hub.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
SUPER_LOG_URL
You need
- npmNode.js installed (for the npx command)
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": {
"super-log": {
"command": "npx",
"args": [
"-y",
"@super-log/mcp"
],
"env": {
"SUPER_LOG_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add super-log --env SUPER_LOG_URL=your-value -- npx -y @super-log/mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"super-log": {
"command": "npx",
"args": [
"-y",
"@super-log/mcp"
],
"env": {
"SUPER_LOG_URL": "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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"super-log": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@super-log/mcp"
],
"env": {
"SUPER_LOG_URL": "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.
Values you fill in
SUPER_LOG_URLenvBase URL of the super-log hub (default http://127.0.0.1:7333)
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain super-log.com (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32531 servers in this category
- Published to the registry more recently than 43% of the other 32531 servers in this category
- Basic checks equal to or better than 100% of the other 32531 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Super Log safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 2 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw
Alternatives
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
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Reelsaw
by osbytes
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
Runs on your computerUpdated today
Install
README from the maker
Open the README
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.
super-log
One hub for every log stream you have — devices, servers, containers, browsers, chains and apps.
This project is a consolidation of a patchwork of tools I have used, in one form or another, over the last fifteen years — the log mergers, port watchers, build wrappers, ad-hoc proxies and one-off scripts every long-running bench accumulates — rebuilt here as one coherent thing, on one wire protocol, with one screen.
Free and self-hosted, forever. It collects and consolidates; analysis is a separate, cleaner concern — hand the consolidated stream to super-log.com for real-time LLM analysis and team features, or to your own store. See Collection is not analysis.
*Twelve producers on one screen, interleaved by arrival: C++ through both SN_LOG and spdlog, Rust, Go, Python, Swift, Fortran, a POSIX shell script, two React Native devices, Metal GPU work reporting real bandwidth, and a live Binance WebSocket. The last of those is running at hundreds of frames a second — so it is rate-capped, and says so rather than silently dropping them.*
If you build across devices, you know the ritual: a Metro console for the iOS simulator, another for the Android emulator, adb logcat for the phone on your desk, a terminal for the C++ engine, another for the Rust service, browser devtools for the web build, and an ssh session to the box in the cloud. Six places to look, none agreeing on timestamps, and the bug is always in the interleaving.
super-log converges all of it on one process and one screen:
apps, 14+ languages ┐GPU and graphics │ devices and boards │ ┌─▶ native viewer (ImGui) machines, services ├── POST NDJSON ──▶ superlogd :7333 ─┼─▶ web viewer (React) network and DNS │ (fan-out+replay) ├─▶ journal → search / replay builds and repos │ ├─▶ GET /recent (scripts) blockchain │ ├─▶ MCP tools (agents) anything that prints┘ └─▶ alerts → webhook
| Group | What is in it |
|---|---|
| apps | C++ (spdlog sink and nativeSN_LOG), plain C (one header), C# / .NET (BCL only — console, ASP.NET, Unity profiles, Xbox Dev Mode), Rust (tracing), Python (logging), Go (log/slog), Java, Kotlin and Scala (a drop-in SLF4J backend — swap your logging backend, no code change — plus Log4j 2 and Logback appenders, and java.util.logging), Swift, Fortran, OCaml, Haskell, Lean 4, Ruby and Rails (a drop-in ::Logger), Perl (core modules only), Lua (5.1+, PUC or LuaJIT), Zig (@cImport of the C header), COBOL (riding the C SDK, yes really), POSIX sh, and JS for Node, the browser and React Native — where console, fetch and WebGL are captured too. Anything else with a C FFI links one object: cc -DSUPERLOG_API= -c impl.c |
| OpenTelemetry | already instrumented with OTel? Join the bench withno new SDK — point any exporter at 127.0.0.1:4318 (OTEL_EXPORTER_OTLP_ENDPOINT, the standard port, zero config). Logs, metrics and traces over OTLP/JSON and OTLP/protobuf; severityNumber maps to levels, each service.name becomes an otlp. topic, and an OTel span's trace_id becomes the bench's `trace` — one /recent?trace= returns the OTel spans and the bench's own lines as a single story. And the reverse: superlog-otlp-export feeds any OTLP backend or collector from the bench (OTLP/JSON logs + gauge metrics), so the bench is a two-way OTLP member, not a walled garden |
| GPU and graphics | Metal and CUDA kernel timings, WebGL context loss and shader failures, and the card itself throughnvidia-smi, rocm-smi or ioreg |
| devices and boards | iOS and Android over USB, serial consoles reading ESP-IDF, Zephyr and bracketed formats, ROS 2/rosout, and drones over MAVLink (ArduPilot/PX4 — battery, GPS fix, mode/arm, failsafes and the flight controller's own STATUSTEXT, from a UDP stream or a .tlog) |
| machines, services | OS logs on macOS, Linux and Windows; ~20 known services (postgres, nginx, redis, kafka…); Unity and Unreal Engine editor logs, level-parsed (Blender and AutoCAD by recipe); Docker containers; any remote host over ssh; power draw, thermals and top energy consumers (macOS); crash reports, kernel panics, shutdown causes, volume and sleep/wake events (macOS); filesystem changes down to the changed LINES, diffed in real time; big downloads — a Hugging Face model, shard by shard — with stall alarms; other hubs, bridged whole; andevery version under the bench — OS, compilers, runtimes, databases and every package the package manager knows — diffed, so "it worked yesterday" finally has an answer |
| network and DNS | an HTTP/S logging proxy, WebSocket frames, a syslog and raw TCP/UDP inlet, DNS records with TLS expiry, listening ports with their processes — and the network's ownstate, watched for change: gateway, Wi-Fi, VPN, resolvers, ARP (a gateway MAC change is ERROR — that is how a MITM starts), ping targets with RTT/loss readings and a traceroute attached to every degradation alarm, plus origin-AS watching of your domains' prefixes (what a BGP hijack looks like from outside); the LAN rendered as a tree with any route kept under watch, and the outbound connections this box holds — a socket stuck in SYN-SENT is the filtered/down port a dev loses an afternoon to |
| builds and repos | cmake, clang, gcc, rustc, swiftc, npm, xcodebuild, Vivado and Quartus — plus sanitizer and valgrind findings captured whole, local git, and GitHub Actions |
| blockchain | watched addresses on any EVM chain, with transfers decoded and token decimals read per contract; operational key balances with edge-triggered fund-now alarms - EVM (gas or ERC-20),Solana (SOL or SPL), Tron (TRX or TRC-20, USDT included), and Bitcoin (any Esplora API, your own node included) |
| trading, FIX | FIX session logs (QuickFIX, FIX8, or any engine that writes the standard message log): every message decoded from the SOH-delimitedtag=value wire and levelled so the quiet failures shout — a Reject or a rejected fill is ERROR with its reason, a Logout or sequence gap is WARN (the session that stopped filling mid-day), a Heartbeat is DEBUG — with ClOrdID, Symbol, Side, OrderQty, Price and OrdStatus riding as fields; one fix. - - topic per session, derived from the message itself, never the filename |
| anything that prints | your-command 2>&1 \| superlog tee — a drop-in tee
Only the beginning is shown; read the rest in the repo