Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Asks 8 AI crawlers for your page, checks who really answered, and writes the fixes. MIT.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
OPENAEO_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"audit": {
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add audit --env OPENAEO_API_KEY=your-value -- npx -y openaeo-audit mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"audit": {
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"audit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"openaeo-audit",
"mcp"
],
"env": {
"OPENAEO_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 openaeo.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: OPENAEO_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.6.4)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요