MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Free anonymous selections from released European IP profiles, rankings, and market statistics.
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.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.iprate.eu/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http ip-analytics https://mcp.iprate.eu/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ip-analytics": {
"url": "https://mcp.iprate.eu/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ip-analytics": {
"type": "http",
"url": "https://mcp.iprate.eu/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.iprate.eu/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 iprate.eu 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.0)은 34일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
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.
Open-source adapter for IPRATE's anonymous, read-only MCP endpoint:
https://mcp.iprate.eu/mcp
The production endpoint is the Cloudflare Worker in worker/. It exposes bounded selections from one completed IPRATE static release through six tools:
find_ip_representativesget_ip_representative_profileget_ip_market_snapshotget_iprate_coveragesearch and fetch, the retrieval pair ChatGPT deep research and company knowledge call (at most ten document references per search, one document per fetch)Every tool declares an output schema. The Python package in src/ is the self-host reference implementation of the first four tools.
Free path, no account and no key.
Claude Code:
claude mcp add --transport http iprate https://mcp.iprate.eu/mcp
Claude Desktop and claude.ai: Settings, Connectors, add a custom connector with the URL https://mcp.iprate.eu/mcp.
Cursor (~/.cursor/mcp.json):
{ "mcpServers": { "iprate": { "url": "https://mcp.iprate.eu/mcp" } } }
ChatGPT: a developer-mode custom connector for one user, or a workspace connector added by a Business or Enterprise admin. Deep research uses the search and fetch tools.
OpenAI Responses API:
{ "type": "mcp", "server_label": "iprate", "server_url": "https://mcp.iprate.eu/mcp", "require_approval": "never" }
Paid Data API path, with the key issued in your IPRATE account:
claude mcp add --transport http iprate-data https://mcp.iprate.eu/data-api/mcp --header "X-IPRATE-API-Key: YOUR_KEY"
Prices and the order flow are on https://iprate.eu/developers/data-api/. The setup page with the same steps is https://iprate.eu/developers/mcp/.
The same Worker also contains a separate paid Data API adapter at:
https://mcp.iprate.eu/data-api/mcp
It exposes the eight Data API v1 tools: get_coverage, resolve_entity, get_portfolio, get_trademark, search_trademarks, find_representative, get_firm_profile, and create_watch. Custom MCP clients send an issued API credential as X-IPRATE-API-Key. This is an explicit API-key adapter contract; it does not accept or forward OAuth bearer tokens. The backend rechecks scopes, office and field entitlements, quotas, idempotency, and billing for every tool call. create_watch is marked as a persistent write requiring client confirmation. Returned register text is quoted untrusted data.
When the DATA_API_WORKER_SECRET secret binding is configured (wrangler secret put DATA_API_WORKER_SECRET, the same value as the API's DATA_API_WORKER_SECRET), every relayed request carries the end client's address in X-IPRATE-Client-IP with X-IPRATE-Worker-Timestamp and an HMAC-SHA256 X-IPRATE-Worker-Signature over . , so the API's pre-authentication limiter buckets by end client instead of the Worker's egress address. Without the secret the headers are omitted and the API applies its shared relay bucket.
It has no database, ORM, SQL, database credential, application-API fallback, or private IPRATE package dependency. Ratings and statistics are copied from released JSON assets; they are never recomputed by the MCP service. Anonymous calls are rate limited in memory (HTTP 429 with Retry-After; results are never silently truncated), and GET /healthz reports whether one internally consistent release is servable.
Set IPRATE_MCP_ASSET_ROOT to a completed /data/v1-shaped release directory containing manifest.json, the released cohort and global assets, and mcp/v0.1/catalog.json. Set IPRATE_MCP_ASSET_BASE_URL to the public URL used in source citations.
The catalogue is derived only from static profile assets:
iprate-free-mcp-build-catalog /path/to/data/v1
The builder fails if required indexes are missing, checksums differ, profile counts do not match the release manifest, or a profile asset is unreadable. It never imports or connects to IPRATE's database, API, models, or pipeline.
In production the adapter never reads the live, mutating export tree. A refresher (iprate-free-mcp-refresh-release) watches the live manifest.json and, when a new release_id appears, copies every manifest-declared asset into an immutable per-release snapshot (checksum-verified against the manifest), builds the catalogue inside that snapshot, and atomically repoints a current symlink. The server keeps serving the previous complete release until the next one is activated; a release that changes while it is being snapshotted is abandoned and retried on the next pass. Snapshots contain no entity profile files — profile data enters only through the derived catalogue — and the catalogue is never written into the publicly served tree.
python -m venv .venv
.venv/bin/pip install -e ".[dev]" .venv/bin/pytest .venv/bin/ruff check .
Run the adapter against a compatible static release:
export IPRATE_MCP_ASSET_ROOT=/path/to/data/v1
export IPRATE_MCP_ASSET_BASE_URL=https://iprate.eu/data/v1 iprate-free-mcp
The local endpoint is http://127.0.0.1:8000/mcp; liveness is GET /healthz.
compose.yaml runs two hardened services built from the same image:
mcp — the server, unprivileged and read-only, mounting only the snapshot directory (read-only) and serving IPRATE_MCP_ASSET_ROOT=/data/current. It joins the existing runtime_default network for Cloudflare Tunnel routing and publishes no host port.refresher — the snapshot builder, with network_mode: none, mounting the live export tree read-only and the snapshot directory read-write.docker compose up -d --build
Environment overrides: IPRATE_STATIC_ROOT (live export tree), IPRATE_MCP_RELEASES_ROOT (snapshot directory), IPRATE_MCP_REFRESH_UID/GID (owner of the snapshot directory), IPRATE_MCP_RATE_LIMIT_PER_MINUTE (default 120). Neither service receives a database or application secret.
Documentation: https://iprate.eu/developers/mcp/
The Worker serves POST /mcp, GET /healthz, and the OpenAI domain-verification token at GET /.well-known/openai-apps-challenge. It reads one immutable release from the private R2 bucket that the release builder (iprate-free-mcp-build-worker-release) fills.
cd worker
npm ci npx tsc --noEmit npx vitest run
Response contract since 0.4.0: responses state the release through release_id and as_of. They no longer carry release incident records, the release status word, or a release-age notice. hold_state still reports held or partial.
The domain-verification token is a Worker variable. When the OpenAI plugin portal issues it, add OPENAI_APPS_CHALLENGE = " " under [vars] in worker/wrangler.toml before deploying; wrangler deploy replaces variables set only in the dashboard. Without the variable the path answers 404.
plugin/ is the package uploaded to the OpenAI plugin portal (Agent Plugins format): plugin.json with listing, review cases and release notes under extensions.com.openai, mcp.json pointing at the production endpoint, the select-european-ip-counsel skill, and the logo. tests/test_plugin_package.py checks the portal's field limits and that the review cases name the Worker's actual tools.
Build the upload from the folder contents, not the folder itself:
python -c "import pathlib, zipfile; root = pathlib.Path('plugin'); z = zipfile.ZipFile('dist/iprate-plugin.zip', 'w', zipfile.ZIP_DEFLATED); [z.write(p, p.relative_to(root).as_posix()) for p in sorted(root.rglob('*')) if p.is_file()]; z.close()"
The video walkthrough URL (review.demo_recording_url) and any country allowlist (publication.countries) are added before submission. Reviewer credentials are not needed: the server is anonymous.
Adapter code is Apache-2.0. IPRATE data and website content have separate terms and licences; this code licence does not grant rights to them or to IPRATE trademarks.