Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
4,685 pre-production checks: security, performance, scale, integrations, post-launch, people.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"prodcheck": {
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}ターミナルでこれを実行します
claude mcp add prodcheck -- npx -y prodcheckプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"prodcheck": {
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"prodcheck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"prodcheck"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント FarzamHabibi で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.22.0)がレジストリに届いたのは19 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Drain unblocking, leak detection & plumbing in Varna, Bulgaria: services, prices, areas, contact
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます