MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Make 6–60 minute faceless YouTube documentaries: voiceover, footage, maps and charts.
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.cliptude.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http cliptude https://mcp.cliptude.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cliptude": {
"url": "https://mcp.cliptude.com/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": {
"cliptude": {
"type": "http",
"url": "https://mcp.cliptude.com/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.cliptude.com/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.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 cliptude 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
427ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
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 3개 중 3개를 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(1.0.13)은 오늘 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.
Generate videos from a saved template. Same account and credits as cliptude.com.
Also from Cliptude: Awesome Faceless YouTube Automation, a curated list of tools, footage sources and YouTube policies for faceless channels.
The plugin/ folder is the Claude plugin: the Cliptude connector plus the cliptude, cliptude-script and cliptude-plan skills. See plugin/README.md for what it sends.
npm i -g @cliptude/cli.cliptude auth login and complete the sign-in in the browser it opens.npx skills add cliptude/cliptude (includes cliptude, cliptude-script and cliptude-plan).From this repo without npm:
pip install -e .
cliptude auth login
cliptude templates
cliptude template-options --format faceless_documentary cliptude voices --provider elevenlabs cliptude template-create --name "TSMC doc" --format faceless_documentary --set voice_id= --set voice_name=George --set generation_model=pro --set faceless_documentary_style=investigative cliptude template-create --name "TSMC doc" --format faceless_documentary --settings-file settings.json cliptude generate --template "Finance vector weekly" --title "Why index funds win" --prompt "why most retail traders underperform the S&P over 10 years, keep it for beginners" --duration 3-4 cliptude estimate --template "Finance vector weekly" --script-file script.txt cliptude avatars --section mine cliptude generate --template "My avatar weekly" --title "Episode one" --script-file script.txt --avatar 42 cliptude generate --template "Finance vector weekly" --title "Why index funds win" --script-file script.txt cliptude generate --template "Finance vector weekly" --title "Why index funds win" --voiceover narration.mp3 cliptude generate --template "My talking head" --title "Weekly recap" --talking-head clip.mp4 cliptude generate --template "My avatar weekly" --title "Grandma egg trick" --script-file script.txt --avatar-ai-footage --avatar-intro-only cliptude script --template "Finance vector weekly" --title "Why index funds win" --prompt "why most retail traders underperform the S&P" --duration 3-4 cliptude voiceover --template "Finance vector weekly" --title "Why index funds win" --script-file script.txt cliptude download-voiceover --out narration.mp3 cliptude editor # editor project id, revision, timeline item ids cliptude agent --prompt "Replace this shot with real footage of a TSMC fab" --items clip-1 --tier smart --wait cliptude render --wait # new MP4 of the edited timeline cliptude continue cliptude status
No template yet? template-create makes one without the create wizard: pick a voice_id from voices, and see template-options for every other field, its choices and its default (unset fields take the wizard default). Values are validated like the wizard; uploads (custom music, avatars, characters) still need the wizard. MCP tools: get_template_options, list_voices, create_template. For Avatar Video, avatars (MCP list_avatars) lists your avatars; set one with --set avatar_profile_id= on template-create, or override it per video with --avatar (and --avatar-engine iv|v) on generate, plan-job and estimate. The avatar's gender must match the voice. For Vector Explainer, vector-characters lists the built-in cast and your uploads, vector-character-upload --name "Dr. Maya" --file maya.png (or --url) adds your own, and --set vector_character_id= on template-create (or --vector-character on generate / plan-job) uses it. Motion: --set vector_reveal_mode=none|video on the template, or --vector-motion none|video on generate, plan-job and estimate (none = stills with camera moves, video = AI clips). Thumbnails: --thumbnail-reference or --thumbnail-prompt " " on template-create sets the template's look; the same flags on generate and plan-job set one video's. With neither, each video picks a style reference for its own title.
To check the price first, estimate (MCP estimate_credits, REST POST /api/v1/jobs/estimate) takes the same template and prompt/script as generate (an upload as --voiceover-seconds / --talking-head-seconds) and returns the credits the job would need and whether the account has them. It creates and charges nothing.
To revise a finished video, editor opens its timeline (item ids, times, text), agent asks Cliptude Agent for an edit (it charges agent credits; reference item ids with --items), and render exports a new MP4. MCP tools: open_editor_project, get_editor_project, run_agent, get_agent_run, cancel_agent_run, render_project, get_render.
On Faceless Documentary, Faceless Top 10, Avatar Video and Vector Explainer templates an agent can plan every visual and leave Cliptude only the voicing, sourcing and rendering:
cliptude plan-job (stops at plan_ready), cliptude narration . Like every job, it answers first with a review of its settings; music, sound effects, transitions, animations and web sources are on by default, and any the template turns off (no_music, no_sound_effects, no_transitions, no_motion_graphics, ...) need the user's approval in --acknowledge. Your own footage: cliptude upload-media trailer.mp4 --split-shots cuts a whole source into checked 3-12 s clips on its cuts and prints their keep ids; each upload's notes say what the build review would report (a watermark, an end screen, captions). A render-only job (--render-only) takes only uploaded files: download each picture or clip and send it with upload-media (MCP upload_plan_media, or start_media_upload + finish_media_upload on a remote host), then use its keep id. plan-check refuses a media url there (render_only_upload_required): a link to another site can be throttled or expire before the render, and one failed download fails the whole job.cliptude catalog --compact, then --types a,b for full entries (--premium lists only the premium boards).cliptude plan-check plan.json until valid, cliptude plan-lock plan.json, cliptude continue . The job stops at ready_for_edit: built and charged, not rendered.cliptude plan-review : every picture or clip (asked vs used, link to the file) and every graphic (the props it will be drawn with, or why it is missing). cliptude plan-report adds each fallback.plan-check / plan-lock a new plan on the same job and continue again: same narration, unchanged media reused, nothing more charged.cliptude editor , cliptude render --wait.Aim for two builds: one to review, one to ship. The skill's "One pass" section has the order of work (footage budget, sources split by shot, people's photos first, picture assignment by script, person-card caps).
MCP tools: create_plan_job, get_narration, get_kind_catalog, check_plan, lock_plan, get_plan, continue_job, get_plan_review, get_plan_report, then open_editor_project and render_project. The plan sets the look (theme, style, colours, music), every graphic with its own data, colours and sound, the footage under every beat, the transition on each cut, two-image reveals, and free sound effects; get_kind_catalog lists the graphics, transitions, reveal_styles, clip_effects and sounds (with previews). The plan schema and rules are in skills/cliptude-plan/SKILL.md. The job costs the same as the website price.
Turn a store product into a 6 to 60 minute educational YouTube video: about 80% teaching, then the product, with its real photos composited into the closing boards (never regenerated) and a scan-to-shop QR code in the corner. Any Shopify product URL works with no setup; other stores work through the page's structured data; a store connected at cliptude.com/integrations/stores/ (or that installed the Cliptude Shopify app) can also be searched.
cliptude product fetch https://store.com/products/handle # product_id + 3 educational angles
cliptude product script --angle 1 --duration 10-12 --discount-code YOUTUBE15 \ --review "Best pan I own|Sam K.|5" # real customer reviews only cliptude product status # until script_ready; review the script cliptude product render --aspect-ratio 16:9 # returns at once cliptude product status # until ready_for_review; open editor_url
MCP tools: fetch_product_context, draft_product_script, render_product_video, get_product_video_status. None of them waits for a render; poll the status tool. Nothing is published to a store or YouTube unless you ask.
Every video needs a thumbnail reference or brief: --thumbnail-reference (a video whose thumbnail style fits; ask the user or search YouTube) or --thumbnail-prompt, on the template, the job or continue. Cliptude no longer guesses one from the title; without one the job is refused (thumbnail_required).
--title is required. Provide one of --prompt, --script / --script-file, --voiceover, or --talking-head. Never copy the title into --prompt. If you only have a topic, follow cliptude-script (web search → spoken narration → --script-file), or ask Cliptude to write it with cliptude script. After a completed script or voiceover job, cliptude continue turns that same job into a full video (reuses the script; voiceover jobs reuse the TTS file). --voiceover is a local audio file (same as create.html); it is transcribed and skips TTS — do not combine it with prompt/script. --talking-head is a presenter video on a Talking Head template (MP4, MOV, WEBM, AVI); it is transcribed and skips TTS. Optional --duration is a wizard bucket (3-4, 6-8, 10-12, …). Omit it to use the template duration, or the word-count estimate when you pass --script. Uploaded audio or talking-head video sets duration from the file. Avatar Video templates can override Avatar Intro Only and AI Image + AI Video with --avatar-intro-only / --no-avatar-intro-only and --avatar-ai-footage / --no-avatar-ai-footage. Omit those flags to keep the template. generate / script / voiceover / continue return immediately (queued). Poll status.
Remote Streamable HTTP: https://mcp.cliptude.com/mcp (OAuth or Bearer).
cliptude-mcp
Unauthenticated POST /mcp returns 401 with WWW-Authenticate pointing at RFC 9728 metadata. Stdio never writes to stdout except JSON-RPC.