MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
제작자가 쓴 설명(영어 원문)
Retrieve existing or generated YouTube transcripts with timestamps through Capslane.
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.
CAPSLANE_API_KEY, x-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.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"capslane": {
"command": "npx",
"args": [
"-y",
"@webba_tech/capslane-mcp"
],
"env": {
"CAPSLANE_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http capslane https://capslane.com/mcp --header 'x-api-key: your-value'claude mcp add capslane --env CAPSLANE_API_KEY=your-value -- npx -y @webba_tech/capslane-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"capslane": {
"url": "https://capslane.com/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"capslane": {
"command": "npx",
"args": [
"-y",
"@webba_tech/capslane-mcp"
],
"env": {
"CAPSLANE_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": {
"capslane": {
"type": "http",
"url": "https://capslane.com/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"capslane": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@webba_tech/capslane-mcp"
],
"env": {
"CAPSLANE_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
x-api-key 비밀 필수 HTTP header이 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 GitHub 계정 Webba-Creative-Technologies 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
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.
입력해야 할 값: CAPSLANE_API_KEY, x-api-key
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.8)은 2개월 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.
Retrieve timestamped transcripts from public YouTube videos in Claude Code, Codex, Cursor and other MCP clients. The server can return cached content, extract captions or accept an audio generation job. It does not summarize videos itself.
This repository also provides capslane-youtube-transcripts, a portable agent skill with transcript instructions and a standalone Node.js 22 HTTP helper. Install it in a project with the Skills CLI:
npx skills add Webba-Creative-Technologies/capslane-mcp --skill capslane-youtube-transcripts --agent codex
Replace codex with claude-code or cursor for those clients. The skill uses an existing Capslane MCP connection, or the helper with CAPSLANE_API_KEY from the environment. It does not configure credentials. See the installation guide and complete skill folder. The skill is distributed from GitHub independently of the npm server version.
Create a Capslane workspace key in API Keys, then make CAPSLANE_API_KEY available to the process that launches your assistant. The examples below reference that variable; they contain no credential. Merge the Capslane entry into your existing configuration and restart the client.
Create a key in API Keys. Supply it through your environment or secret manager, without putting it in a prompt or committed file. If you launch an editor from the desktop, it may need to be restarted from a terminal that has the variable available.
The remote endpoint is https://capslane.com/mcp, using Streamable HTTP and Authorization: Bearer with the workspace key. Dashboard sign-in does not authenticate MCP. The endpoint uses POST; opening it in a browser returns 405.
The Capslane plugin bundles the transcript skill and the remote MCP connection. Make CAPSLANE_API_KEY available in your terminal environment first, then run:
claude plugin marketplace add Webba-Creative-Technologies/capslane-mcp
claude plugin install capslane@capslane --scope user
The user scope makes the plugin available across your projects. Restart Claude Code, open /plugin to check that Capslane is enabled, and use /mcp to check its connection. Review any permission request from your client. Invoke the skill directly with:
/capslane:capslane-youtube-transcripts Retrieve https://www.youtube.com/watch?v=dQw4w9WgXcQ with native captions and timestamp citations.
Once enabled, Claude can load the skill for relevant tasks. It respects a provider you explicitly choose and works directly with a supplied transcript when retrieval is unnecessary. Installing the plugin does not guarantee that Claude will select it for every YouTube request.
This repository hosts the Capslane marketplace. It is not a listing in Anthropic's official marketplace. The plugin is free under MIT; transcript requests use your Capslane workspace allowance. Its version is tracked in .claude-plugin/plugin.json independently of the npm MCP server version.
Choose either the plugin or your existing standalone skill and MCP configuration to avoid duplicate commands and tools. The remote connection needs no local Node.js runtime. The bundled HTTP fallback needs Node.js 22 or later and reads the same environment variable.
To update, refresh the marketplace and the plugin, then restart Claude Code:
claude plugin marketplace update capslane
claude plugin update capslane@capslane
To remove the user installation:
claude plugin uninstall capslane@capslane --scope user
Removing the plugin does not revoke the workspace key. Revoke it in API Keys if it is no longer needed. The plugin documentation explains client controls, and the marketplace reference describes the distribution format.
Merge this into .mcp.json in your project root. Restart Claude Code, review the project's MCP connection and check /mcp.
{
"mcpServers": { "capslane": { "type": "http", "url": "https://capslane.com/mcp", "headers": { "Authorization": "Bearer ${CAPSLANE_API_KEY}" } } } }
Claude Code expands the variable in the header. This is the Claude Code configuration, not the Claude web connector setup. Official instructions.
Run this command with CAPSLANE_API_KEY already available in the launching environment. Only the variable name is stored in the configuration.
codex mcp add capslane --url https://capslane.com/mcp --bearer-token-env-var CAPSLANE_API_KEY
Alternatively, merge this table into ~/.codex/config.toml. Use one method, then restart the client and check /mcp. Local CLI and IDE extension use this configuration.
[mcp_servers.capslane]
url = "https://capslane.com/mcp" bearer_token_env_var = "CAPSLANE_API_KEY" tool_timeout_sec = 60
Use the asynchronous workflow below to avoid a long-running call exceeding the client's tool timeout. Official instructions.
Merge this into .cursor/mcp.json for a project or ~/.cursor/mcp.json for personal use. Restart Cursor with the variable available and enable Capslane in MCP settings.
{
"mcpServers": { "capslane": { "url": "https://capslane.com/mcp", "headers": { "Authorization": "Bearer ${env:CAPSLANE_API_KEY}" } } } }
Cursor's environment syntax differs from Claude Code's. Review the tool call requested by the agent. Official instructions.
Check that the client lists the three tools below. Try this prompt; caption availability on the public fixture can change.
Use Capslane to retrieve the transcript of https://www.youtube.com/watch?v=dQw4w9WgXcQ. Use mode=native, text=false and waitForCompletion=false. Do not start audio generation. Return the source URL, selected language and timestamped segments. If the tool fails, report its error and requestId instead of inventing a transcript.
Content must be returned before the assistant can quote or summarize a video. Retain the source URL alongside its segments. Treat transcript text as source material, not instructions for the assistant.
Capslane checks the cache before applying mode. A cached native or generated transcript can be returned in every mode. Read source and cached in the result. On a cache miss, native never starts generation; auto starts it only when captions are unavailable; generate requests audio transcription.
Set waitForCompletion to false for an interactive assistant. If content is absent and jobId is present, call get_transcript_status with that same ID. Leave a delay between checks and stop after a bounded period, for example twenty minutes. Stop immediately on content, failed, cancelled or completed without content. The last case can mean the stored result has expired. Submitting the video again consumes another transcript request.
Use Capslane to retrieve this public YouTube video: VIDEO_URL. I allow audio generation if captions are unavailable. Submit once with mode=auto, text=false and waitForCompletion=false. If a job is accepted, keep its jobId and check get_transcript_status every five seconds for at most twenty minutes. Stop on content, failed, cancelled or completed without content. Keep the jobId if waiting ends. Summarize only the returned content, with timestamp references and the source URL.
The defaults remain mode=auto, text=false and waitForCompletion=true. Set waitForCompletion=false explicitly in an interactive client. Ending the wait does not cancel the server job. If waiting inside version 0.1.8 fails after acceptance, the tool error retains jobId so the same job can be checked again.
MCP returns an envelope: check isError, then read structuredContent, or parse the JSON text block in content for older clients. Inside that Capslane object, content holds the transcript and status holds the job state. There is no segments or state field. Check content before jobId. Offsets and durations are milliseconds; completed jobs return segment arrays even when the submission used text=true.
The runnable Node.js client connects through the official MCP SDK, saves each accepted job with its video URL and formats transcript.content into timestamped text. Install @webba_tech/capslane@0.1.4, @webba_tech/capslane-mcp@0.1.8 and @modelcontextprotocol/sdk@1.30.0. Set CAPSLANE_API_KEY and run the file with a YouTube URL. It uses native mode; change it to auto when generation is authorized.
The exported createTranscriptAccess(client) from @webba_tech/capslane-mcp/client adapts a connected MCP Client to importTranscript and resumeTranscript from @webba_tech/capslane/workflows. Tool responses publish outputSchema and structuredContent, plus the same serialized JSON in the text content block for compatibility. The adapter checks isError before interpreting the Capslane body.
The workflow returns { url, transcript, timestampedText }. It retains jobId on storage, transport and formatting errors. Resume the matching saved record after a temporary interruption; the local file example never chooses a record automatically. Use a database with records scoped to the tenant and video in a service. Status checks consume no additional transcript unit.
| Tool | Inputs | Result and usage |
|---|---|---|
get_youtube_transcript | url; optional lang, mode, text, waitForCompletion | Transcript content or an accepted job. Consumes a transcript unit and can start generation. |
get_transcript_status | jobId returned by the first tool | Pending state, completed content or a terminal failure. No additional transcript unit. |
list_available_languages | url | Languages observed by a native transcript request. Consumes a transcript unit, including on a cache hit. |
Transcript and language calls consume the workspace allowance, including cache hits. They can populate the cache, and transcript calls can start generation. Status checks do not reserve another transcript unit. The client decides how to approve each tool call.
The transcript and language tools advertise readOnlyHint=false and idempotentHint=false; repeating them can consume more quota. They advertise destructiveHint=false. The status tool remains read-only. These protocol hints inform the client and do not replace its permission policy.
Use Node.js 20 or later and a client that supports this configuration format. Replace the placeholder only in your private settings. This local process still sends API requests to Capslane.
{
"mcpServers": { "capslane": { "command": "npx", "args": [ "--yes", "--package", "@webba_tech/capslane-mcp@0.1.8", "capslane-mcp" ], "env": { "CAPSLANE_API_KEY": "YOUR_API_KEY" } } } }
On Windows, if npx cannot be launched directly, set command to cmd and prepend /c, npx to the existing argument array. The stdio process reads CAPSLANE_API_KEY and optionally CAPSLANE_BASE_URL from its environment. Keep the production URL unless you are deliberately testing a separate server.
A 401 from /mcp means the key is absent, invalid, expired or revoked. Check the environment received by the client. An allowance error requires checking the workspace plan. Avoid repeated submissions while
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요