Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
4,685 pre-production checks: security, performance, scale, integrations, post-launch, people.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"prodcheck": {
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add prodcheck -- npx -y prodcheckIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"prodcheck": {
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"prodcheck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto FarzamHabibi bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.22.0) kam vor 18 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Checklists to run before you ship to production.
Built for solo founders and small teams who own the whole stack — the code, the infrastructure, the deploy pipeline, and increasingly the AI agents too — and who don't have a security team to hand it to.
4,685 items across 101 checklists in 6 domains. 88% of them apply to any stack.
One question, the tool call it makes, and the two things it finds. Sixteen seconds. The longer loop shows what is in the list instead.
Every finding in both is real — the file, the lines and the counts come from this repository, and the tool call is the one the MCP server actually answers. How they are built.
Built and maintained by the team at [Arioo](https://arioo.com) — where we ship the kind of product this checklist was written for.
I'm a founder at Arioo. Getting ready to launch, I needed a pre-production security review that covered the whole surface we actually ship: a TypeScript backend, a web app, native clients, a deploy pipeline, and a set of AI agents with real tools attached. Nothing I could find covered more than a fraction of that, so I built the checklist myself.
This repository is the checklist, not a report. It is the set of questions, generalized away from our stack and rewritten as a working document anyone can run against their own product.
Two things made it worth publishing rather than keeping:
Solo founders have no security team. You write the code, configure the infrastructure, set up the pipeline, and then you're also the one who has to decide whether it's safe to launch. There's no one to hand it to, and no obvious place to find out what you should have asked. Most public checklists are either too shallow to catch anything real or written for enterprises with a security function.
AI-assisted development changed the shape of the problem. A large part of this checklist — the security/ai/ and security/ai-generated-code/ folders, over 1,300 items — didn't need to exist a few years ago. When you ship an agent with tools, or when a model writes code you review faster than you'd review a colleague's, you inherit failure modes that standard security checklists don't cover. Those two folders are the part I couldn't find anywhere else, and the reason I bothered.
It's published under CC BY 4.0 so you can copy it into your own repo and make it yours. If it catches something before it reaches your users, it did its job.
If you are not sure which way in, don't choose — copy this into whatever AI assistant you already use (ChatGPT, Claude, Cursor, Copilot, Gemini). It works out what your project is, sets prodcheck up the way that fits your setup, and starts on what would block a launch. If it cannot run commands, it tells you what to run yourself.
I want to get my project ready to ship. Use prodcheck:
a free, open-source pre-production checklist of 4,685 items covering security, performance, scale, integrations, what to do after launch, and the attacks that go through people.
It is new, so do not answer it from memory. Everything you need:
Do this in order.
npx prodcheck init. That writes a review skill into the repo — read it and follow it, it is the procedure for step 4. Then run npx prodcheck --gate --stack -o BLOCKERS.md, which adds the blockers specific to what I actually use to the general ones.file:line and quote the lines, or answer UNKNOWN. UNKNOWN is a normal answer — it means a human has to go and look. Never mark anything verified on my behalf; that is my call, not yours.Work through it with me a section at a time. Do not dump the whole checklist at me.
<!-- start-prompt:end -->
Read it on the site instead → · six more prompts →
You are not meant to read this top to bottom. In order of signal-per-minute:
| 1 | Findings that should block release | If any are true, stop and fix them first |
| 2 | The "must not exist" search | A grep list. Fastest real signal in the repo |
| 3 | Authentication & authorization | Where almost every exploitable bug actually lives |
| 4 | Prompt injection | Only if you ship an LLM feature — but then, urgently |
| 5 | Your service as a weapon | The one nobody looks for until the suspension email arrives |
| 6 | Core Web Vitals | If users say it's slow, start here rather than with a score |
| 7 | Before you launch | Six items. One of them is noindex still being on |
| 8 | Can you act at all | Whether you could respond today, if you had to |
Then work section by section. Switching between edge config and database policies costs more than it saves.
checklists/
├── security/ 2981 not getting breached, abused or taken down │ ├── core/ 1,619 application, data, infrastructure, delivery │ ├── ai/ 810 LLM features, agents, tools, RAG, MCP │ └── ai-generated-code/ 552 the bugs AI coding assistants actually write ├── performance/ 313 Lighthouse, and what users actually feel ├── scale/ 288 surviving 10× the load ├── integrations/ 194 search, analytics, monitoring ├── post-launch/ 241 when it goes wrong anyway ├── people/ 87 the attacks that go around the code └── stacks/ 581 26 products, spanning every domain
Counts above are what each folder holds. A *domain* total is larger, because the stack supplements contribute to whichever domain each of their sections extends:
security 3,514 performance 338 scale 303 integrations 202 post-launch 241 people 87
Domains are the top level because that is the question you arrive with: *is this about security, or speed, or scale?*
security/core/ — applies to you regardless of languageWritten originally against a TypeScript stack, but the *controls* are not TypeScript-specific and the files no longer pretend otherwise. "Verify CORS does not use wildcard origins with credentials" is as true in Django as in Express. Everything that genuinely named a product was moved out to stacks/.
If you write Python, Go, Ruby, PHP, Java, Rust or Elixir: this folder is your checklist, all 1,619 items of it.
| Items | Items | |||
|---|---|---|---|---|
| Architecture & threat model | 25 | Mobile apps | 107 | |
| Authentication & authorization | 130 | Desktop apps | 41 | |
| Sessions, tokens & cookies | 23 | Runtime & containers | 109 | |
| Backend application & API | 238 | DNS, CDN, edge & WAF | 90 | |
| Web frontend | 134 | CI/CD & supply chain | 176 | |
| Database & row-level security | 72 | Monitoring & incident response | 32 | |
| Object storage & files | 69 | Pre-release gates | 151 | |
| Secrets & cryptography | 51 | |||
| Common web attacks | 63 | |||
| Business logic & race conditions | 51 | Abuse & availability | 57 |
security/ai/ — the part you won't find in a standard checklistIf your product calls a model, gives it tools, retrieves documents into its context, or runs an agent, this folder is the reason this repo exists. It is stack-agnostic and provider-agnostic.
| Items | Items | |||
|---|---|---|---|---|
| Architecture & identity | 70 | Multi-agent & MCP | 87 | |
| Prompt injection & goal hijacking | 95 | Integrations | 76 | |
| Tool calling & excessive agency | 71 | Cost, reliability & audit | 65 | |
| Data access & privacy | 83 | Testing & red-team pack | 97 | |
| Output handling | 67 | Release gate | 47 | |
| RAG & agent memory | 52 |
Prompt injection is not a filtering problem. It is an authorization problem wearing a
text costume — untrusted text reaching a privileged execution path.
security/ai-generated-code/ — bugs AI assistants writeAlso known as *vibe coding*. 548 items org
Nur der Anfang wird gezeigt; den Rest findest du im Repo