MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Self-hosted MCP for owned-site SEO, search analytics, indexing, monitoring, and safe remediation.
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.
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": {
"rankrat": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/rankrat:v0.20.1"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add rankrat -- docker run -i --rm docker.io/psyb0t/rankrat:v0.20.1프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"rankrat": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/rankrat:v0.20.1"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"rankrat": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/psyb0t/rankrat:v0.20.1"
]
}
}
}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 7일 점검
레지스트리 이름이 GitHub 계정 psyb0t 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(0.20.1)은 27일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Every SEO signal lives in its own walled garden with its own dashboard, its own API, and its own bullshit auth dance: Search Console over here, GA4 over there, Bing Webmaster somewhere else, plus Cloudflare, Clarity, PageSpeed, CrUX, GTM, and Bing's backlink data. Point an agent at your rankings and it drowns juggling eight consoles. Rankrat drags all of them behind one self-hosted service, so you tell an agent the outcome you want and it inspects, creates, updates, or rips out provider resources through a single surface — REST and MCP, no dashboards.
It's a rat, not a burglar. You hand it the provider accounts; those credentials are the only authority it has. The resource lists in boundaries.json are inventory and URL-containment data — not a second permission system pretending to keep you safe. Rankrat writes by default; set RANKRAT_READ_ONLY=true and every mutating route and tool disappears from discovery. That's the one switch.
It speaks MCP over stdio, MCP over Streamable HTTP at /mcp, and a FastAPI JSON API under /v1/. Wrapper-managed HTTP gets a bearer; a hand-rolled loopback-only launch can drop it if you know what you're doing.
Status: alpha. The API and tool surface can still move before 1.0 — minor releases may break things on purpose (documented), so pin an exact release if you need it to hold still.
| Area | What Rankrat exposes |
|---|---|
| Search Console analytics, inspection and sitemaps; GA4 inventory, historical and realtime reports, ecommerce, funnels, and audiences; Google Tag Manager containers, workspaces, tags, triggers, variables, versions, and publication; property, sitemap, indexing, ownership, onboarding, and rename writes | |
| Bing | Search, crawl, indexing, sitemap, backlink, quota, keyword, opportunity, cannibalization, site/submission, and safe content-submission operations |
| Performance | PageSpeed, Core Web Vitals, CrUX history, Microsoft Clarity insights, Cloudflare analytics, and isolated local Lighthouse audits |
| Site intelligence | Whole-site audits, schema eligibility, internal-link graphs, orphan pages, content opportunities, and cross-provider comparisons |
| Ownership and onboarding | Google/Bing checks, provider-neutral DNS verification through Cloudflare, and idempotent GA4/Search Console/Bing onboarding |
| Backlinks | Bing Webmaster backlink intelligence for configured sites |
| Monitoring and remediation | Persistent monitors and issue history, sitemap/URL resubmission, IndexNow, exact Cloudflare purges, finite cache templates, and managed edge redirects |
What the runtime advertises is what it does — no hidden endpoints. A read-only deployment drops every write from discovery; a writable one exposes onboarding alongside the rest. The whole list is the MCP tool catalog and the generated OpenAPI document.
Install the rankrat command, create the credentials for the providers you want, then run it. Docker is the only runtime requirement.
Download the installer, read it, then run it — per-user (no root) or system-wide:
curl -fsSL https://raw.githubusercontent.com/psyb0t/rankrat/main/install.sh -o rankrat-install.sh
less rankrat-install.sh bash rankrat-install.sh # per-user -> ~/.local/bin/rankrat sudo bash rankrat-install.sh --system # system-wide -> /usr/local/bin/rankrat
The mode auto-detects from who runs it; --user / --system force it and --uninstall removes the command. This puts the rankrat wrapper — a readable script that drives the published Docker images — on your PATH. Prefer to work from a source checkout? Clone the repo and use ./rankrat or the make targets instead; see Getting started.
Run setup. It lists every provider, you pick the ones you actually use, and it walks you through creating each credential — the exact console clicks for Google OAuth, the Bing Webmaster key, the Cloudflare token, the Clarity token — then hides every value you paste. No copying token permissions out of a README:
rankrat setup
Configuring Google? Paste the one-line Desktop OAuth client JSON at the hidden prompt when setup asks — same as every other credential.
Setup validates account access — it does not submit URLs or create properties. Your profile lives in ~/.config/rankrat; override it per launch with rankrat --data-dir /absolute/path or RANKRAT_DATA_DIR for a separate profile per account or workspace. Want to read the credential steps ahead of time, or what each provider actually gives you? See Providers and credentials. From a source checkout the setup step is make setup.
rankrat # MCP over stdio (default)
rankrat http -d # REST + Streamable-HTTP MCP + Lighthouse, detached with restarts rankrat upgrade # re-pin to the latest release, pull it, drop the previous image
From a source checkout: make run (stdio) and make run-http (HTTP over Compose, attached).
rankrat setup pins both psyb0t/rankrat and psyb0t/rankrat-lighthouse to the latest release tag — recorded, along with the HTTP port and read-only flag, in a .env at your profile root — rather than tracking the moving :latest. rankrat upgrade re-pins the images to the newest release, pulls both, restarts a running HTTP stack (reusing the recorded port and read-only flag), and removes the superseded images; it leaves the port and read-only lines untouched. Pass --rolling (or set RANKRAT_ROLLING=1) to use the moving :latest images for a single run without touching the recorded pin. RANKRAT_IMAGE, RANKRAT_LIGHTHOUSE_IMAGE, RANKRAT_HTTP_PORT, and RANKRAT_READ_ONLY still override the recorded values per run.
To set the host settings once instead of per run, put them in a permanent host env file at ~/.config/rankrat/.env (override the path with RANKRAT_ENV_FILE). The wrapper reads it before selecting a profile, so it can set RANKRAT_DATA_DIR (which profile to use) along with RANKRAT_READ_ONLY, RANKRAT_IMAGE, RANKRAT_LIGHTHOUSE_IMAGE, RANKRAT_HTTP_PORT, RANKRAT_OAUTH_CALLBACK_PORT, and RANKRAT_ROLLING. It only fills a variable that is unset or empty, so a --data-dir flag or a real env var still overrides it. This is especially handy for MCP launchers that run rankrat with a minimal environment and never see your shell exports. It is separate from the per-profile .env: the host file selects the profile and the host defaults, while a profile's .env pins that profile's images, port, and read-only flag.
Over HTTP, MCP lives at http://127.0.0.1:8080/mcp and REST under /v1/; stdio needs no port and no bearer. HTTP treats your data directory as its Compose project — it drops a docker-compose.yml in there if one's missing and never touches yours if it isn't. Under the hood that's two long-lived services plus one one-shot volume initializer. The wrapper, plain docker run, raw Compose, HTTP auth, and client wiring all live in Transports and deployment.
Browser audits run in a separate psyb0t/rankrat-lighthouse image over a Unix socket, and it never sees a single provider credential. rankrat stdio brings up an ephemeral Lighthouse sidecar for the session — same capability as HTTP — and tears it down on exit; the wrapper launches it host-side, so the app stays off the Docker socket and reaches Lighthouse only over the socket. See Lighthouse.
RANKRAT_READ_ONLY=true removes write REST routes and MCP tools from runtime discovery. It is the only capability switch.See Configuration and Security before enabling writes or exposing HTTP beyond loopback.
The REST source is YAML-first: openapi.yaml, seo-openapi.yaml, and free-seo-openapi.yaml generate openapi.json. Agent clients can use the repository's skill, Claude Code and Codex manifests, or OpenClaw integration under .agents.
The Rankrat skill works in agents that read .agents/skills/ (such as peen). The integrations below cover both MCP stdio and a shared Streamable HTTP server.
claude plugin marketplace add psyb0t/agents
claude plugin install rankrat@psyb0t
codex plugin marketplace add psyb0t/agents
codex plugin add rankrat@psyb0t
Installed through the catalog, the skill invokes as $rankrat:rankrat. Codex also discovers it as $rankrat directly from a Rankrat checkout.
openclaw skills install @psyb0t/rankrat
openclaw plugins install clawhub:@psyb0t/rankrat
The plugin launches the published image over MCP stdio using the standard $HOME/.config/rankrat/ layout. Set one absolute RANKRAT_DATA_DIR in every client to reuse the same provider accounts, OAuth authorization, inventory, and monitor state from any site repository. To use an already-running shared server, configure OpenClaw for its authenticated
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요