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)
Asks 8 AI crawlers for your page, checks who really answered, and writes the fixes. MIT.
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。
OPENAEO_API_KEY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
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": {
"audit": {
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add audit --env OPENAEO_API_KEY=your-value -- npx -y openaeo-audit mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"audit": {
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}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": {
"audit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}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6日にチェック
レジストリ名はドメイン openaeo.dev で確認済みです(レジストリがドメインの所有を確認しています)
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。
入力が必要なもの:OPENAEO_API_KEY
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(1.6.4)がレジストリに届いたのは3 か月前です。
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, Apify MCP Server
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.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
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。
Check whether your website is retrievable and citable by AI answer engines — ChatGPT, Claude, Gemini, and Perplexity — from your terminal, in one command.
npx openaeo-audit yoursite.com
No install, no signup, no dependencies. It fetches your page the way an AI crawler does, scores it out of 100, and hands you the exact fixes that raise it.
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the new SEO: your customers increasingly ask an assistant instead of scrolling ten blue links, and the winners are whoever the AI can *read, trust, and recommend*. This tool tells you where you stand.
# pretty report
npx openaeo-audit example.com
npx openaeo-audit example.com --json
Example output:
example.com
54/100 · AI-ready AI-ready, not yet cited. Retrievable, but thin on quotable specifics and structured data. Fixable without a redesign.
✓ Content readable in raw HTML — 1,240 visible words ✗ robots.txt allows GPTBot, ClaudeBot, PerplexityBot — robots.txt disallows gptbot ✗ llms.txt index present — missing ⚠ Organization + WebSite JSON-LD — Organization ⚠ Product / Offer schema with price — no priced Offer ⚠ Answer + a number in the first 100 words — vague / no title or meta ✗ FAQPage schema present — missing ✓ Freshness (dateModified) present — dateModified set
6 fixes to raise your score:
The audit runs the checks that most often decide whether an AI assistant can quote you:
| Check | Why it matters |
|---|---|
| Content readable in raw HTML | Rendering support varies by crawler. Googlebot executes JavaScript; GPTBot, ClaudeBot and PerplexityBot do not. If content only appears after hydration, the crawlers that do not render see an empty page. |
| robots.txt allows AI bots | One inherited Disallow line can hide you from ChatGPT and Perplexity entirely. |
| Per-bot edge reachability | robots.txt is a request; a CDN is an enforcer. We fetch as GPTBot, OAI-SearchBot, ClaudeBot, Claude-SearchBot, PerplexityBot, Googlebot, Bingbot and Applebot, and record the status each is given. Google-Extended is a robots.txt token with no crawler behind it, so it is read rather than fetched. |
| llms.txt index present | An emerging convention that hands assistants a clean, quotable summary of your site. |
| Organization + WebSite JSON-LD | Structured identity is how assistants know who you are. |
| Product / Offer schema with price | Lets assistants answer "how much does X cost" with your real number. |
| Answer + a number in the first 100 words | Assistants lift the first concrete, specific sentence. Adjectives don't get quoted; numbers do. |
| FAQPage schema | Maps directly onto the question-shaped queries people type into assistants. |
| Freshness (dateModified) | Assistants prefer sources that signal they're current. |
Each check scores pass (1.0), warn (0.4), or fail (0.0), averaged to a 0–100 score, then placed in a band:
| Score | Band |
|---|---|
| 0–25 | Not retrievable |
| 26–45 | Partial |
| 46–64 | AI-ready |
| 65–82 | AI-competitive |
| 83–100 | Fully legible |
Some failures cap the score no matter what else passes, because they block retrieval entirely:
An honest low score you can act on beats a flattering one that hides the real problem.
const { audit, remediationPlan } = require("openaeo-audit");
const result = await audit("example.com"); console.log(result.score, result.band); // 54 "AI-ready"
const fixes = remediationPlan(result); // ordered, highest-leverage first fixes.forEach(f => console.log(f.title));
audit(url) returns:
{
"domain": "example.com", "score": 54, "band": "AI-ready", "verdict": "AI-ready, not yet cited.", "sub": "Retrievable, but thin on quotable specifics ...", "fixCount": 2, "edgeOk": true, "bots": [ { "name": "GPTBot", "surface": "ChatGPT", "kind": "fetched", "status": 200, "ok": true }, ... ], "checks": [ { "label": "...", "status": "pass|warn|fail", "detail": "..." }, ... ] }
Fail a build if your score drops below a threshold:
score=$(npx openaeo-audit yoursite.com --json | node -e "process.stdin.on('data',d=>console.log(JSON.parse(d).score))")
[ "$score" -ge 65 ] || { echo "AEO score $score below 65"; exit 1; }
OpenAEO ships an MCP server, so your AI coding agent can audit your site and apply the fixes to your actual files — with you reviewing every edit. Nothing is uploaded, no account needed, and it never touches production.
Cursor — add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": { "openaeo": { "command": "npx", "args": ["-y", "openaeo-audit", "mcp"] } } }
Claude Code / Claude Cowork — run this in your project:
claude mcp add openaeo -- npx -y openaeo-audit mcp
…or copy examples/.mcp.json to your project root.
For a repeatable workflow, drop examples/aeo-fix-pass/ into .claude/skills/ — then /aeo-fix-pass runs the whole audit-fix-verify pass, including the guardrails (merge robots.txt rather than overwrite, never invent numbers for the placeholders).
Then just ask:
*"Audit example.com and fix my site."*
The agent will run the audit, write robots.txt and llms.txt, inject the JSON-LD into your , and re-check its work.
If your site is on Squarespace, Wix, Webflow, WordPress, Shopify, Framer, Ghost or Carrd, you don't have files to edit — so ask instead:
*"My website is remyfilm.co — help me show up in AI search."*
OpenAEO detects which platform you're on and replies with click-by-click steps for your admin ("Settings → Advanced → Code Injection → paste this in the Header"), plus the exact text to copy. It'll also tell you honestly when your platform *can't* do something, so you don't hunt for a setting that doesn't exist.
| Tool | What it does |
|---|---|
aeo_fix_my_site | One shot, no codebase needed. Audits, detects your platform, and returns where-to-paste steps for that platform's admin |
aeo_audit | Audits a live domain — score, band, every check, prioritised fixes |
aeo_fix_files | Generates paste-ready robots.txt, llms.txt, JSON-LD, and an opening paragraph |
aeo_fix_html | Takes a page's HTML, returns it with , meta description and JSON-LD injected — only adds what's missing, never rewrites your content |
aeo_check_html | Scores HTML without changing it, to verify the edits worked |
aeo_read_log | Reads a server access log and reports what the crawlers actually got: which arrived, what status, which paths, and whether each request really came from the operator it claimed. Parsed on your machine; the log never leaves it |
aeo_verify_crawler | Checks one IP against the ranges the operator publishes. Answers verified, impostor, or unverifiable, and never says impostor without positive evidence |
Hosted tools. These five call openaeo.dev and need OPENAEO_API_KEY, because they cannot run locally: citation testing needs provider keys for six assistants, and crawler intelligence reads a corpus collected across every audit anyone runs. Without a key they explain what they need rather than failing; the eight tools above are unaffected.
The line between the two lists is not commercial squeamishness, it is what each thing needs. Anything that only requires your own site and public data runs on your machine, including the crawler verification and the log reading. Anything that needs *other people's* domains, or a yesterday to compare today against, needs a server that has been watching.
| Tool | What it does |
|---|---|
aeo_crawler_intel | Has this site's CDN started refusing AI crawlers, and when did that change |
aeo_citations | Ask the assistants a buyer question, record whether you were named |
aeo_history | How the score has moved over time |
aeo_drift | What was passing and is not any more |
aeo_competitors | Which domains get named instead of you |
An audit fetches your page from this machine wearing each crawler's user agent. That is an indication, not proof: a real crawler arrives from its operator's own network, and a firewall checking the address can refuse us while allowing the real one, or the reverse.
Your access log is what settles it.
npx openaeo-audit log /var/log/nginx/access.log
Googlebot refused 2 requests, 2 paths
403 x2 2 confirmed from the operator's own network /docs x1 /pricing x1
GPTBot impostor-only 1 request, 1 path 200 x1 1 request claimed to be GPTBot from outside its published range: 45.83.12.9
Two things fall out of this that a fetch cannot tell you. The first is when our reading was simply wrong, and the log corrects it. The second is that "GPTBot" in your log is a claim, not an identity: anyone can send that user agent, and plenty do, precisely because sites allow it. Every request is checked against the address ranges OpenAI, Anthropic, Google, Microsoft, Perplexity and Apple publish for exactly this purpose.
A crawler is only ever called an impostor on positive evidence. If an operator publishes nothing, or a feed fails to load, the answer is "unverifiable" and never "impostor": the cost of a false accusation here is you blocking traffic you wanted.
The log is read from disk, parsed in the process, and discarded. The one network call is fetching those public address ranges. Nothing from your log is uploaded, which is the entire reason this lives in the package rather than behind a login.
fetch)What's in this repo. The audit engine: 5 retrieval gates, 8 headline checks, and a per-bot edge matrix that fetches your site as 8 named AI crawlers and records the HTTP status each one is given, plus the generators for robots.txt, llms.txt and JSON-LD, the CLI and the MCP server. Free forever, MIT, no account, no telemetry. It's the same engine that powers the free tier at openaeo.dev.
What isn't. The hosted service: the full 49-check weighted rubric tracked over time, weekly citation testing across six assistant surfaces, drift alerts, competitor share-of-voice, and audit history. That runs on our infrastructure, not yours.
The split is not about withholding the good part. Fixing a site is mostly a one-time job, and everything you need for it is here. Whether an assistant names you changes every week, and that is a thing that has to keep running whether or not anyone is watching. Sell the service, not the permission.
If the CLI is useful, the hosted version is the next step. Both tell you the truth; the hosted one keeps telling you over time.
Issues and PRs welcome — especially new checks, better detection heuristics, and fixes for edge cases in how frameworks render. Keep the engine dependency-free.
MIT © OpenAEO. Use it, fork it, build on it.
"OpenAEO" and the OpenAEO logo are trademarks of OpenAEO
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