Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Audit whether ChatGPT, Gemini and Perplexity recommend a site. Readiness checks need no keys.
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.
OPENAI_API_KEY, GOOGLE_API_KEY, PERPLEXITY_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": {
"crazyseo": {
"command": "npx",
"args": [
"-y",
"crazyseo"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"PERPLEXITY_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add crazyseo --env OPENAI_API_KEY=your-value --env GOOGLE_API_KEY=your-value --env PERPLEXITY_API_KEY=your-value -- npx -y crazyseo실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"crazyseo": {
"command": "npx",
"args": [
"-y",
"crazyseo"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"PERPLEXITY_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": {
"crazyseo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crazyseo"
],
"env": {
"OPENAI_API_KEY": "your-value",
"GOOGLE_API_KEY": "your-value",
"PERPLEXITY_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 GitHub 계정 d08m 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
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: OPENAI_API_KEY, GOOGLE_API_KEY, PERPLEXITY_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(0.1.3)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: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Find out whether ChatGPT, Gemini and Perplexity recommend your site — and why they don't.
An open-source GEO / AEO auditor and MCP server. No account. No card. Your keys.
Your customers have stopped googling. They ask an assistant *"best CRM for small law firms?"* and buy whatever it names. If it doesn't name you, you don't exist — and no analytics tool will tell you, because there is no click to measure.
This audits it directly: it asks the questions your buyers ask, records the answers word for word, and shows you which sources the models cite instead of you.
Most tools in this space ask the model *"what do you think of Acme?"* — which tells you nothing, because naming the brand in the prompt guarantees it shows up in the answer.
This asks blind. Your brand never appears in the question, so the answer you get back is the answer a real buyer gets. That is the whole difference between a number you can act on and a number that flatters you.
Three more things a prompt wrapper can't do:
The readiness audit runs against any site with zero configuration and zero cost:
npx crazyseo readiness yourbrand.com
Nothing to install, no signup, no key. Or run it from source:
git clone https://github.com/d08m/crazyseo && cd crazyseo
npm install && npm run build node dist/cli.js readiness yourbrand.com
AI-READINESS stripe.com 82/100
✓ Served over HTTPS ✓ AI crawlers allowed ✓ Structured data (schema.org) ✓ llms.txt published (bonus) ✓ Title + meta description ✓ Readable without JavaScript ✓ Canonical URL set ✓ Social preview tags (Open Graph) ✗ Single, clear H1 2 H1 tags — ambiguous which is the main topic ✗ Images have alt text 27 of 31 images missing alt text ✓ Sitemap referenced ✓ No broken internal links
→ 2 issues to fix
*(That's real output — stripe.com, unmodified.)*
11 scored checks, all first-party fetches: HTTPS · AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended…) unblocked in robots.txt · schema.org markup · title + meta · readable without JavaScript · canonical · Open Graph · single-H1 structure · image alt-text coverage · sitemap referenced · broken internal links (sampled).
Plus llms.txt, shown but deliberately unscored: Google's own AI-optimization guidance says it has no effect in Google Search, so it can't fairly cost anyone points — but some agents do read it, so it's still worth seeing.
Exits non-zero when checks fail, so you can gate a deploy on it:
- run: npx crazyseo readiness ${{ env.SITE }}
Machine-readable output for pipelines:
npx crazyseo readiness yourbrand.com --json > report.json
To measure what the engines actually say, add whichever keys you have. Any one is enough; more engines means more coverage.
export OPENAI_API_KEY=... # optional
export GOOGLE_API_KEY=... # optional export PERPLEXITY_API_KEY=... # optional
npx crazyseo audit yourbrand.com
It reads your site, infers what you sell, generates the questions your buyers would actually ask, and asks all of them — blind — across every engine you configured.
VISIBILITY lymexa.com 0 of 8 answers · 0%
Lymexa — premium pickleball paddles and recovery gear brand, USA
"What are the best premium pickleball paddles for advanced players?" Gemini ✗ not named JOOLA, CRBN, Selkirk, Six Zero Perplexity ✗ not named JOOLA, Selkirk, CRBN, Gearbox
"Which high-performance pickleball paddle brands are manufactured in the USA?" Gemini ✗ not named Engage, Paddletek, Selkirk, Thompson Pickleball Perplexity ✗ not named Engage, Paddletek, Selkirk, GAMMA
RECOMMENDED INSTEAD Selkirk 4× named Therabody 4× named Hyperice 4× named
CITATION GAP — cited on the questions you lost reddit.com 7× Community discussion AI trusts for real opinions youtube.com 6× Video content AI pulls into answers pickleheads.com 4× Third-party source AI cites instead of you
! ChatGPT did not respond — this score covers the rest only.
*(Real output, trimmed for length. Note the last line: when an engine fails, the report says so instead of quietly averaging the rest and calling it your score.)*
Runs on your own keys — a full audit is typically a few cents.
It ships as an MCP server, so Claude, ChatGPT or any MCP-capable agent can run it directly:
claude mcp add --transport stdio crazyseo -- npx -y crazyseo mcp
It's also packaged as a Claude Code plugin, which wires up the MCP server and the skill below in one step:
/plugin marketplace add d08m/crazyseo
/plugin install crazyseo@crazyseo
Then just ask:
*"Is my site visible in AI search? What's cited instead of me?"*
| tool | what it does | keys |
|---|---|---|
readiness_check | 11-point AI-readiness audit | none |
audit_plan | site facts + buyer questions to ask, for a keyless audit | none |
audit_score | scores what the agent found: visibility, leaderboard, citation gap | none |
audit_visibility | blind multi-engine visibility + verbatim answers | BYO |
citation_gap | sources cited on the questions you lose | BYO |
engine_status | which engines this install can query | none |
You don't need an API key to get the interesting part. audit_plan and audit_score let the assistant you're already talking to be the engine: it fetches your site, writes the buyer questions, answers them with its own web search, and hands the results back for scoring. Ask *"is my site visible in AI search?"* and you get a real citation gap with no signup, no key, no billing.
The tool still does the arithmetic, and still refuses a question that names your brand — that guard is what makes the number worth having. It measures visibility in that assistant, which the report says plainly. For the cross-engine picture, use audit with your own keys.
There's also a SKILL.md so agents know *how to interpret* the numbers — that readiness isn't visibility, that 0% is a normal starting point, and that partial engine coverage must be reported as partial.
import { checkReadiness } from 'crazyseo';
const report = await checkReadiness('example.com'); console.log(report.score, report.checks);
Everything here is free forever, self-hosted, AGPL — full capability, no feature locks, no telemetry, no account, no upsell in the output.
There is no paid tier today, and this README won't pretend otherwise. If one ever appears it will be for the single thing self-hosting genuinely can't give you — scheduled re-runs, stored history and alerts, the infrastructure to watch a number move over months without running anything yourself. The auditing itself stays here, complete, under AGPL.
Which is also the answer to "what stops this going closed later": the licence. Anyone offering it as a hosted service has to open their version too, including whoever wrote it.
Issues and PRs welcome. The checks are deliberately conservative: every one has to be something an assistant or its crawler actually depends on, and verifiable by hand. If a check can't be justified that way, it doesn't belong here.
CONTRIBUTING.md covers the setup, the bar a new check has to clear, and what an engine adapter needs to get right.
AGPL-3.0. Use it, fork it, run it commercially, embed it in your own tooling. If you offer it to others as a hosted service, that service must be open too.
Built because "am I in the answer?" deserves a real measurement, not a vibe.